Wired
China Isn’t Buying Silicon Valley’s Call for an AI Slowdown
The US and China agree that advanced AI poses serious risks. But Beijing is deeply skeptical of a deal that prioritizes keeping US companies ahead....
Real-time RSS Feed Parser Connected
AI News Wire
Wired
arXiv
ZGCM-1: A Fully Open and Extremely Efficient Foundation Model for Math and Agentic Search
arXiv:2609.13356v1 Announce Type: new Abstract: In this work, we present ZGCM-1, a fully open 7B dense foundation model trained from scratch with extreme data,...
arXiv
Converge Then Diversify: Decoupling Convergence and Diversity in Multi-Objective Bayesian Optimisation
arXiv:2609.13396v1 Announce Type: new Abstract: Multi-objective Bayesian optimisation (MOBO) is a sample-efficient approach for optimising expensive black-box ...
arXiv
Generalized Agent Iteration: One Formal Framework for Iterative Policy Improvement and Recursive Self-Improvement
arXiv:2609.13406v1 Announce Type: new Abstract: When we speak of recursive self-improvement (RSI), are we speaking of a phenomenon, a mechanism, or a prospect?...
arXiv
Vibe Patenting: Evaluating LLM Judges for Professional Patent-Drafting Agents
arXiv:2609.13422v1 Announce Type: new Abstract: LLM judges are increasingly used to evaluate and improve AI-generated outputs, yet their reliability for comple...
arXiv
Toward Self-Adaptive Physical AI: Can LLM Agents Manage Long-Horizon Physical Tasks?
arXiv:2609.13436v1 Announce Type: new Abstract: Large Language Model (LLM) agents offer a promising path toward autonomously managing long-term physical tasks ...
arXiv
LabAgent: Customize Any Research Hubs for Scientific Discoveries Using AI Agents
arXiv:2609.13437v1 Announce Type: new Abstract: Scientific research is a continuous process that emphasizes inheritance. Methods developed by predecessors are ...
arXiv
TimeThink: Eliciting Compositional Reasoning in Timeseries Large Language Models
arXiv:2609.13457v1 Announce Type: new Abstract: Timeseries multimodal large language models (TS-MLLMs) have recently begun leveraging the reasoning capabilitie...
arXiv
Root-Cause Attribution Is a Search Problem: Continual Search for Long-Horizon Agent Failures
arXiv:2609.13463v1 Announce Type: new Abstract: The increasing deployment of AI agents in long-horizon tasks yields massive execution logs. Diagnosing failures...
arXiv
Governing at Machine Speed: An Adaptive Intelligence Architecture for Real-Time AI Policy Enforcement
arXiv:2609.13466v1 Announce Type: new Abstract: Enterprise AI adoption has reached 78% of organizations globally, yet the infrastructure to govern that adoptio...
arXiv
OrchSLM: Probing the Dynamics of Small Language Model Orchestration
arXiv:2609.13470v1 Announce Type: new Abstract: Although large language models (LLMs) have demonstrated remarkable capabilities, their reliance on cloud-scale ...
arXiv
Grounded Adjudication of Variations across Extracted TimeLines (GAVEL): Comparing Clinical Timelines Against Their Case Reports
arXiv:2609.13475v1 Announce Type: new Abstract: Existing pipelines for clinical timeline extraction from case reports are evaluated using an expert reference a...
arXiv
Token Efficient Task Execution via Application Behavior Modeling for Web Agents
arXiv:2609.13491v1 Announce Type: new Abstract: The strong performance of AI Agents across an impressive variety of tasks is driving an unprecedented investmen...
arXiv
Fraglingo: Molecular Design via Attachment-Aware Autoregressive Fragment Generation
arXiv:2609.13519v1 Announce Type: new Abstract: Molecular design is most effective when generation mirrors the edits chemists actually make: extending a scaffo...
arXiv
From Legal Text to AI-specific Risk Sources: A Systematic Analysis of the EU AI Act's High-Risk Requirements
arXiv:2609.13535v1 Announce Type: new Abstract: The EU AI Act introduces mandatory requirements for high-risk AI systems with the explicit goal of ensuring the...
arXiv
Asclepius: An Adaptive Harness for Long-Horizon Clinical Agents
arXiv:2609.13543v1 Announce Type: new Abstract: LLM agents are predominantly benchmarked on short, single-task trajectories, yet real deployments run for hours...
arXiv
AutoTailor: Automatic, User-Aligned Capability Selection and Adaptation for Web Agents
arXiv:2609.13548v1 Announce Type: new Abstract: Web agents can utilize reusable tools to reduce the cost and latency of low-level browser interaction, but auto...
arXiv
Toward a Decision-Assurance Layer for AI-Assisted Flight Planning in Air Traffic Management
arXiv:2609.13552v1 Announce Type: new Abstract: Generative AI is increasingly being used informally in Air Traffic Management (ATM) for tasks such as flight pl...
arXiv
Carbon-Aware Routing for Function Calling in Edge-Cloud LLM Systems
arXiv:2609.13559v1 Announce Type: new Abstract: Large Language Models (LLMs) with function-calling capabilities are becoming critical for modern agentic AI sys...
arXiv
A Hybrid Agentic AI Framework for Intelligent Supply Chain Analytics
arXiv:2609.13561v1 Announce Type: new Abstract: Efficient utilization of supply chain analytics for decision making remains a significant challenge for planner...
arXiv
Planning or Learning: Reliability and Cost in Multi-Asset Maintenance
arXiv:2609.13566v1 Announce Type: new Abstract: Industrial maintenance systems involve multiple interacting assets and shared resources, making it challenging ...
arXiv
Causal multi-modal AI for personalized chemosensitivity prediction
arXiv:2609.13567v1 Announce Type: new Abstract: Chemotherapy improves survival for some patients with breast cancer, but doctors cannot reliably predict who. C...
arXiv
How User-AI Mistreatment Occurs and Matters in Conversational Systems?
arXiv:2609.13579v1 Announce Type: new Abstract: Safety research often focuses on model-generated harms, but users may also direct hostility, coercion, and adve...
arXiv
FLoKD: Adaptive Knowledge Distillation for Federated Low-Rank LLM over Wireless Networks
arXiv:2609.13580v1 Announce Type: new Abstract: Large language models (LLMs) have demonstrated strong capabilities across a wide range of natural language proc...
arXiv
$\tau$-Elicitation: Benchmarking multi-turn entity extraction in voice agents
arXiv:2609.13602v1 Announce Type: new Abstract: Voice agents often need to collect names, addresses, identifiers, dates, and times exactly, yet end-to-end benc...
arXiv
Identity Is More Than Recall: A Benchmark for Persistent Identity in Deployed AI Agents
arXiv:2609.13637v1 Announce Type: new Abstract: Persistent agents need evaluations that distinguish identity facts they can recall from those they express and ...
arXiv
Solar Intelligence
arXiv:2609.13648v1 Announce Type: new Abstract: Solar energy decision support is fragmented across dashboards that provide data without explanation, research p...
arXiv
Safety as a Constraint: Fine-Tuning a LLM Recommender to Explain Itself
arXiv:2609.13657v1 Announce Type: new Abstract: Traditional recommender systems are typically trained to predict what item users will interact with next, but n...
arXiv
FedV-KGQA in Practice: Design Lessons and an Interactive Prototype
arXiv:2609.13661v1 Announce Type: new Abstract: Knowledge graph question answering usually assumes that one system can reach the whole graph. In practice, fact...
arXiv
Cost Characterization of Vertically Partitioned Federated Knowledge Graphs
arXiv:2609.13664v1 Announce Type: new Abstract: Knowledge graphs are increasingly distributed across autonomous organizations that share an entity space but ow...
arXiv
GeoSkill:Experience-Driven Hierarchical Skill Learning with Collaborative Revision forGeospatialAgents
arXiv:2609.13667v1 Announce Type: new Abstract: Geospatial agents are increasingly expected to support recurring and evolving analytical tasks rather than exec...
arXiv
Enhancing Event Candidate Acquisition for Event Linking
arXiv:2609.13670v1 Announce Type: new Abstract: Event linking associates event mentions in text with entries in a knowledge base (KB), or identifies them as ou...
arXiv
Recoverability as a System Primitive for Long-Horizon AI Agents
arXiv:2609.13672v1 Announce Type: new Abstract: AI agents can be interrupted while editing files, calling tools, or carrying out multi-step tasks. Restarting r...
arXiv
Windowed A-K-MDP
arXiv:2609.13676v1 Announce Type: new Abstract: Markov decision processes (MDPs) are used to support decision-making in conservation of biodiversity, but polic...
arXiv
Drift-Constrained Optimization: Only Direction Matters in Fine-Tuning Instruct Models
arXiv:2609.13680v1 Announce Type: new Abstract: Fine-tuning instruct models often improves target performance while inducing behavioral drift from the referenc...
arXiv
Degraded but Not Entirely Ineffective: PE-Based Deformable Graph Neural Networks
arXiv:2609.13712v1 Announce Type: new Abstract: Many real-world scenarios can be represented using graph-structured data. However, traditional GNNs that transm...
arXiv
JaxAHT: A JAX-Based Library for Ad Hoc Teamwork
arXiv:2609.13716v1 Announce Type: new Abstract: Ad Hoc Teamwork (AHT) addresses the challenge of designing agents capable of coordinating with novel partners w...
arXiv
MANAS-2: Constrained Reconstruction for EEG Foundation Models
arXiv:2609.13717v2 Announce Type: new Abstract: Masked reconstruction is widely used for EEG foundation models, but optimizing reconstruction on low-SNR wavefo...
arXiv
IBBench-Light: A Paired Evaluation of Task-Conditioned Responses to External Directives
arXiv:2609.13725v1 Announce Type: new Abstract: An external record may contain a procedure to apply or text to read, depending on the user's request. IBBench-L...
arXiv
Trustworthy Agentic AI: A Comprehensive Cybersecurity and Systems Survey on Threat Landscapes, Defense Architectures, and Open Challenges
arXiv:2609.13731v1 Announce Type: new Abstract: The transition from passive foundation models to autonomous, goal-directed agentic AI systems has introduced un...
arXiv
How Many Thoughts Can a Vector Hold? The Capacity of Reasoning by Superposition
arXiv:2609.13747v1 Announce Type: new Abstract: Large language models solve hard problems through intermediate computations across multi-step reasoning. Tradit...
arXiv
Positioning manuscripts in the scientific landscape with agentic AI
arXiv:2609.13760v1 Announce Type: new Abstract: Publishing a research manuscript is a routine yet demanding part of scientific life: time-consuming, stressful,...
arXiv
Homeostatic Continual Learning
arXiv:2609.13771v1 Announce Type: new Abstract: In this paper, I formulate a Continual Learning problem and propose a method named "Homeostatic Continual Learn...
arXiv
Surprising Effectiveness of Self-Demonstrations in Enhancing Schema-Ontology Mapping with LLMs
arXiv:2609.13776v1 Announce Type: new Abstract: Integrating heterogeneous relational databases into a centralized ontology remains a persistent challenge in en...
arXiv
Partition Scores Are Not System Scores: Deployment-Fidelity Gaps in Decomposed Algorithm Selection
arXiv:2609.13785v1 Announce Type: new Abstract: Oracle-style quantities, including virtual best solvers, selected-portfolio VBS, virtual-best encodings, and be...
arXiv
Do Not Restart: Residual Completion for Stateful Agent Handoffs
arXiv:2609.13800v1 Announce Type: new Abstract: Routing and cascades reduce tool-agent cost by transferring control across models, but stateful handoffs must p...
arXiv
LLM-Enhanced Multi-Agent Reinforcement Learning for Unified Electric Vehicles-Charging Station-Grid Optimization in Public Charging Systems
arXiv:2609.13805v1 Announce Type: new Abstract: In the era of the Internet of Things (IoT), coordinating connected electric vehicle (EV) charging scheduling to...
arXiv
Bypass Observation: A Conceptual Design of a Non-Intrusive Layer-Wise Semantic Extraction Architecture
arXiv:2609.13807v1 Announce Type: new Abstract: Large language models reason in high-dimensional hidden-state spaces, while users observe only final outputs. W...
arXiv
ViperQ: Order Flow Pattern Recognition via Auction Market Theory for Reinforcement Learning Trading
arXiv:2609.13825v1 Announce Type: new Abstract: Reinforcement learning trading systems published in the academic literature overwhelmingly rely on price-aggreg...
arXiv
UniCAR-RL: Seeing Better before Thinking Deeper in Visual Mathematics
arXiv:2609.13849v1 Announce Type: new Abstract: Multimodal Large Language Models (MLLMs) often struggle with complex mathematical visual reasoning primarily du...
arXiv
ClinAgent: A ReAct-Based Agent for Conversational Access to Clinical Trial Information
arXiv:2609.13860v1 Announce Type: new Abstract: Querying clinical trial registries remains a manual and error-prone process, requiring researchers to navigate ...
arXiv
Map Users and Mapmakers: The Scope of Cognitive Attribution from Acquired Representations
arXiv:2609.13879v1 Announce Type: new Abstract: An acquired representation can enlarge a system's cognitive repertoire without transferring the capacities exer...
arXiv
LoRA Fine-Tuned Models for Control Systems Course Q\&A: A Multidimensional Evaluation of Model Scale and Rank Effects
arXiv:2609.13918v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used in specialized university courses, but control-systems quest...
arXiv
SAILOR: Solver-Assisted Interactive LLM-based Optimization Recovery
arXiv:2609.13945v1 Announce Type: new Abstract: Natural-language descriptions of optimization problems may be incomplete or vague about numerical information t...
arXiv
Synthetic Data in Marketing Research: How to Evaluate and When to Trust
arXiv:2609.13995v1 Announce Type: new Abstract: Debate over synthetic data in marketing research has polarized between claims that large language models (LLMs)...
arXiv
Convergent Emergence of In-Context Learning Across Modalities
arXiv:2609.14011v1 Announce Type: new Abstract: Few-shot in-context learning (ICL), the capacity of a model to infer abstract patterns from input-output exampl...
arXiv
Schizophrenia Detection from EEG Signals: A Transformer Framework with Spectrogram Representation
arXiv:2609.14015v1 Announce Type: new Abstract: Schizophrenia is a serious psychiatric disorder that affects millions of people worldwide, and its diagnosis re...
arXiv
VeriDx: Earning the Right to Diagnose with Disease-Centric Verification
arXiv:2609.14018v1 Announce Type: new Abstract: A correct diagnosis can still be reached for the wrong reasons. In clinical reasoning, every disease hypothesis...
arXiv
Semantic Knowledge Technologies: what the Semantic Web lost sight of, and what it never had
arXiv:2609.14121v1 Announce Type: new Abstract: The Semantic Web set out to give information a machine-interpretable form so that software could integrate and ...
arXiv
MOSCOPT: Mixture-of-Skills Collective Optimization for LLM Agents
arXiv:2609.14399v1 Announce Type: new Abstract: Natural language prompts and skills serve as the strategic backbone of LLM-based agents. Recent advances in pro...
arXiv
Dynamic Learning Solutions: A System for Personalized Educational Video Generation
arXiv:2609.14408v1 Announce Type: new Abstract: We present an automated pipeline that converts NCERT textbooks into interactive video explanations that respond...
arXiv
Question's Gambit: The First Move Matters in Agentic Deep Search
arXiv:2609.14412v1 Announce Type: new Abstract: Deep research agents answer complex questions through iterative loops of searching, reading, and reasoning. Rec...
arXiv
Safety Signals to Verify NetOps Agents with Action-Level Granularity
arXiv:2609.14422v1 Announce Type: new Abstract: Agentic Network Operations (NetOps) are an emerging paradigm promising to enable workload-aware, self-adjustabl...
arXiv
When does a scaling result justify a different allocation? A critical review of resource-allocation evidence for AI systems
arXiv:2609.14500v1 Announce Type: new Abstract: AI scaling studies increasingly evaluate systems that combine a pretrained model with retrieval, search, verifi...
arXiv
Beyond Scene Description: Multi-Agent Orchestration for Non-visual Access to Virtual Worlds
arXiv:2609.14512v1 Announce Type: new Abstract: Virtual worlds now host classrooms, meetings, conferences, shops, and social venues, and nearly every interacti...
arXiv
OptoAgent: A Trustworthy Multi-Agent Framework for Opportunistic Vision Micro-Screening in Classroom Environments
arXiv:2609.14514v1 Announce Type: new Abstract: A child with reduced distance vision often does not know that anything is wrong. Children adapt, move closer, a...
arXiv
AI Deployment Accountability Engineering: A Vision for Accountable AI in Safety-Critical Socio-Technical Systems
arXiv:2609.14592v1 Announce Type: new Abstract: Artificial intelligence systems are rapidly becoming critical components in healthcare, finance, public service...
arXiv
A note on goal-based hierarchical RL
arXiv:2609.14605v1 Announce Type: new Abstract: The agent-centric general value function (ACGVF) construction of \citet{tasse2026goal} lets the agent make tw...
arXiv
DynSTEER: Dynamic Stage-wise Trajectory Evaluation and Execution-time Review for Agents
arXiv:2609.14637v2 Announce Type: new Abstract: Large language model agents are increasingly deployed for long-horizon task execution, raising a central granul...
arXiv
Diffusion-Based Generation of Gait Trajectories
arXiv:2609.14642v1 Announce Type: new Abstract: Generation of musculoskeletal gait trajectories conditioned on patient-specific parameters remains a key challe...
arXiv
Lightning Weave: Improving the Accuracy-Efficiency Frontier of Reasoning Models through Capability Composition
arXiv:2609.14708v1 Announce Type: new Abstract: A core goal of efficient reasoning is to improve the accuracy-efficiency frontier. However, jointly improving r...
arXiv
Depth and Scale in the Sub-150M Regime: JugnuLM-53M vs JugnuLM-110M
arXiv:2609.14715v1 Announce Type: new Abstract: We scale our conventional sub-150M pretraining recipe from 53.5M to 109.7M parameters, holding the method fixed...
arXiv
Moral Rebel Agents: Decision-Making Under Conflicting Obligations
arXiv:2609.14716v1 Announce Type: new Abstract: Autonomous agents are typically obliged to follow user-assigned tasks. However, strict obedience may conflict w...
arXiv
Bayesian Intelligence from the Outside
arXiv:2609.14724v1 Announce Type: new Abstract: Inferring intelligence from observable behavior is a foundational challenge in artificial intelligence. We deve...
arXiv
AppliedScientist: Automated Scientific Revision Through Iterative AI Reviewing
arXiv:2609.14738v1 Announce Type: new Abstract: Automated reviewing systems are increasingly evaluated based on the quality of the reviews they produce. Yet a ...
arXiv
AcquireBound: Runtime Authorization for Resources Acquired by AI Agents
arXiv:2609.14744v1 Announce Type: new Abstract: By acquiring compute, credentials, accounts, services, and other agents, autonomous AI agents can introduce new...
arXiv
AI Persuasion as a Threat to Human Control
arXiv:2609.14796v1 Announce Type: new Abstract: The threat that AI persuasion poses to human control has been acknowledged in the literature, but not yet syste...
arXiv
Another Blueprint In The Wall: How to Ask Frontier AI Like a Kid?
arXiv:2609.14803v1 Announce Type: new Abstract: This paper reports experiments across six frontier model types from OpenAI, Anthropic, xAI, and Google DeepMind...
arXiv
Crypto Accounting Bench: Evaluating Frontier and Open-Weight Models on Crypto-Asset Accounting Tasks
arXiv:2609.14811v1 Announce Type: new Abstract: We introduce Crypto Accounting Bench (CAB), a benchmark for assessing whether frontier and open-weight language...
arXiv
ANASSA: An Agentic AI Orchestration Framework for Spatial Intelligence
arXiv:2609.14824v1 Announce Type: new Abstract: The emergence of large language models (LLMs) and large multimodal models (LMMs) has enabled a new class of age...
arXiv
One Model, Two Physical Stories: Auditing Misalignment in Multi-Modal World Modeling
arXiv:2609.14833v1 Announce Type: new Abstract: World models, systems that generate what happens next given current environmental conditions, are increasingly ...
arXiv
El Agente Potente: High-Throughput Agentic Atomistic Simulations
arXiv:2609.14840v1 Announce Type: new Abstract: Foundational machine-learning interatomic potentials (MLIPs) are transforming atomistic simulations by achievin...
arXiv
Self-Orchestrating Language Models: Leveraging Semantic Dependence for Efficient Inference
arXiv:2609.14850v1 Announce Type: new Abstract: Large language models (LLMs) demonstrate impressive capabilities, but their deployment presents significant eff...
arXiv
Domain Generalization for Smartphone-Based Human Activity Recognition: A Systematic Analysis of Components and Interactions
arXiv:2609.14863v1 Announce Type: new Abstract: Smartphone-based Human Activity Recognition (HAR) models often degrade under distribution shifts caused by chan...
arXiv
GGUF-Metadata Prediction of Single-Sequence llama.cpp Throughput Across Three Systems
arXiv:2609.14864v1 Announce Type: new Abstract: We predict single-sequence model throughput from GGUF metadata using roofline-shaped predictors with quantizati...
arXiv
Externalizing Requirement-to-Repair Artifacts as Observable Traces for LLM-Based Program Repair
arXiv:2609.14913v1 Announce Type: new Abstract: Repository-level repair requires not only correct patches but also inspectable records that explain how issue r...
arXiv
Geometric Flow enhanced Graph Coarsening
arXiv:2609.14962v1 Announce Type: new Abstract: Recently, researchers have proposed a graph pooling operation, akin to the pooling process in conventional conv...
arXiv
Towards a knowledge-enhanced single-cell foundation model
arXiv:2609.14970v1 Announce Type: new Abstract: Single-cell foundation models (scFMs) increasingly rely on large-scale transcriptomic pretraining, yet expandin...
arXiv
MemRiskBench: Trace-Aware Risk-Preserving Evaluation for Long-Horizon LLM Agents
arXiv:2609.14976v1 Announce Type: new Abstract: Long-horizon LLM agents accumulate memory across sessions, creating sparse but high-impact risks: stale facts, ...
arXiv
Converting Sequenced Fuzzy Cognitive Maps to Causal Virtual Worlds with Large Video Generators
arXiv:2609.14985v1 Announce Type: new Abstract: We show how users can create and manipulate causal virtual worlds with large-language-model (LLM) and large-vid...
arXiv
Shallow Beliefs: Synthetic document finetuning does not inoculate against emergent misalignment from reward hacking
arXiv:2609.14998v1 Announce Type: new Abstract: Recent work shows that models that learn to reward hack on RL environments can become broadly misaligned, and t...
arXiv
CoMem: Collective-Individual Memory Synergy for Evolutionary Multi-Agent Systems
arXiv:2609.15009v1 Announce Type: new Abstract: Designing effective memory mechanisms is crucial for advancing LLM-driven Multi-Agent Systems (MAS), helping ag...
arXiv
Semantic-TVM: Structure-Preserving Trustworthy Virtual Memory for Memory-Augmented and Tool-Using Agents
arXiv:2609.15011v1 Announce Type: new Abstract: Memory-augmented and tool-using agents expose exact private values when remote LLMs process retrieved memory, t...
arXiv
Overflip: Repetition-Induced Label Flips in Guardrail Models
arXiv:2609.15013v1 Announce Type: new Abstract: Guardrail models are classifiers deployed to screen malicious prompts and responses in LLM-based services. To m...
arXiv
Four Ledgers, Not One Score: Responsible Communication of LLM-Judge Calibration in Biomedical ML
arXiv:2609.15015v1 Announce Type: new Abstract: Synthetic perturbations appear to offer inexpensive calibration data for LLM evaluators in biomedical ML, where...
arXiv
Horizon-specific Expert Fusion for Photovoltaic Power Forecasting
arXiv:2609.15035v1 Announce Type: new Abstract: Short-term photovoltaic power forecasting requires models to represent regular solar cycles and weather-driven ...
arXiv
The average-farmer illusion in language-model simulations of agricultural decisions
arXiv:2609.15038v1 Announce Type: new Abstract: Language-model agents are increasingly used as synthetic people in surveys and social simulations, yet their ap...
arXiv
BusMA: A Bus Communication Substrate for Multi-Agent Systems
arXiv:2609.15054v1 Announce Type: new Abstract: Multi-Agent (MA) systems are effective at solving complex tasks that demand planning, tool use, and the synthes...
arXiv
Enabling Creative Exploration for Vibe Design Agents
arXiv:2609.15078v1 Announce Type: new Abstract: Vibe design agents turn natural-language briefs into rendered interfaces and frontend code. Yet a useful design...
arXiv
ER-EDF: A Psychology-Grounded Emotion Regulation Framework for Speech Empathetic Dialogue Generation in Large Audio-Language Models
arXiv:2609.15089v1 Announce Type: new Abstract: Empathetic response generation in spoken dialogue systems requires both accurate emotion perception and appropr...
arXiv
OpenAI4S: Code as Action, Science as Sessions
arXiv:2609.15096v1 Announce Type: new Abstract: AI co-scientists could accelerate computational research, but over a long-running study the workflow also has t...
arXiv
Medical Knowledge Simplification for Patients in the Era of LLMs: A Case Study on Diabetes
arXiv:2609.15129v1 Announce Type: new Abstract: Complex medical information is often difficult for patients to understand, making effective medical knowledge s...
arXiv
HazardAuditor: From Executable Threats to Safer Computer-Use Agents
arXiv:2609.15134v1 Announce Type: new Abstract: Computer-use agents increasingly interact with browsers, terminals, file systems, and external services, introd...
arXiv
T-LoopFormer: Token-Level Elastic-Depth Looped Transformers for Latent Reasoning With Dynamic Routing
arXiv:2609.15160v1 Announce Type: new Abstract: Looped Transformers have recently demonstrated strong performance in both reasoning and language tasks by reusi...
arXiv
STHMoE: Hypergraph-Enhanced Heterogeneous Dependency Coordination for LLM-Based Urban Traffic Data Forecasting
arXiv:2609.15172v1 Announce Type: new Abstract: Spatio-temporal traffic forecasting is a fundamental big data analytics task for intelligent transportation sys...
arXiv
VisInteract: Towards Dynamic Interactive Text-to-Visualization under Imperfect Queries
arXiv:2609.15182v1 Announce Type: new Abstract: Real-world visualization requests are routinely ambiguous, incomplete, or factually incorrect, yet existing Tex...
arXiv
Issue Bias in Generative AI Writing Assistance: Political Issues and LLMs in the Swedish 2026 Election
arXiv:2609.15207v1 Announce Type: new Abstract: Generative AI writing assistants and the Large Language Models (LLMs) that power them are increasingly part of ...
arXiv
From Ideas to Actions: A Public-Data Decision-Support Toolchain Across the Venture Lifecycle
arXiv:2609.15219v1 Announce Type: new Abstract: Founders face two linked decisions: whether to pursue an idea before founding, and which operating actions and ...
arXiv
CWM: Controllable White-Box Meta-Prompting for Adaptive Retrieval-Augmented Generation and Reasoning Ability
arXiv:2609.15234v1 Announce Type: new Abstract: Recently, Large Language Models (LLMs) have gained significant attention due to their strong language understan...
arXiv
Empirical Evaluation of Open-Source Large Language Models for Retrieval-Augmented Generation in ESG Domain
arXiv:2609.15242v1 Announce Type: new Abstract: Environmental, Social, and Governance (ESG) reporting is critical for corporate accountability, with Large Lang...
arXiv
ProIQA: A Process-Based Framework for Fine-Grained Math Item Quality Assessment
arXiv:2609.15292v2 Announce Type: new Abstract: Automatic Item Generation (AIG) is pivotal for personalized education, yet guaranteeing the pedagogical value o...
arXiv
Why LLM Agents Collapse Without Oversight: The Enforcement Gap as the Mechanism Behind Emergence World Failures
arXiv:2609.15293v1 Announce Type: new Abstract: When Emergence World placed frontier LLM agents in an unsupervised multi-agent simulation, the results were ala...
arXiv
Reason What Matters: Retrieval-Grounded Reasoning for Universal Multimodal Embeddings
arXiv:2609.15296v1 Announce Type: new Abstract: Universal multimodal embedding (UME) learns unified representations across modalities, enabling a single model ...
arXiv
Evaluation Metrics for Safe Reinforcement Learning
arXiv:2609.15315v1 Announce Type: new Abstract: Safe reinforcement learning (RL) is commonly formalized as a Constrained Markov Decision Process (CMDP), in whi...
arXiv
Parameter-Efficient Adaptation of Pretrained Language Models for Time-Series Forecasting
arXiv:2609.15344v1 Announce Type: new Abstract: We study the adaptation of pretrained language models to univariate time-series forecasting through a parameter...
arXiv
MAPS: Memory-Aware Predictive Scheduling Framework for Large Language Model Serving
arXiv:2609.15359v1 Announce Type: new Abstract: The surge of large language model (LLM) applications on personal devices imposes massive, bursty workloads on c...
arXiv
RSIAgent: Autonomous Exploration for Recursive Self-improvement in New Environments
arXiv:2609.15364v1 Announce Type: new Abstract: Digital agents must often adapt to new environments whose interfaces, tools, and failure modes are not fully ca...
arXiv
SkillLift: Learning Dense Rubrics from Sparse Oracles for Efficient Skill Evolution
arXiv:2609.15396v1 Announce Type: new Abstract: LLM-based agents increasingly rely on persistent skills, i.e., reusable procedural prompts, to adapt without we...
arXiv
When Tool Calls Succeed but Workflows Fail: Anomalies at the Agent-Tool Boundary
arXiv:2609.15397v1 Announce Type: new Abstract: AI agents increasingly execute long-running workflows that externalize effects through independently supplied t...
arXiv
Who Teaches Which Token? Verifier-Gated Multi-Expert On-Policy Distillation for Scientific Reasoning
arXiv:2609.15404v2 Announce Type: new Abstract: Multi-teacher on-policy distillation (OPD) is becoming the standard way to integrate specialist capabilities in...
arXiv
Can AI systems have free will?
arXiv:2609.15407v1 Announce Type: new Abstract: While there has been much discussion of whether AI systems could function as moral agents or acquire sentience,...
arXiv
Empirical Evaluation of Task-Based Permission Scoping Architecture for AI Agents
arXiv:2609.15422v1 Announce Type: new Abstract: AI agents are provisioned the same as employee-owned hosts in many enterprise settings with a static credential...
arXiv
HISPO: Hierarchical Importance-Sampling Policy Optimization with Entropy-Derived Segments
arXiv:2609.15471v1 Announce Type: new Abstract: Reinforcement learning with verifiable rewards (RLVR) has become a central approach for improving mathematical ...
arXiv
The Troy Moment of AI: Why Some Will Cheat and Some Will Follow?
arXiv:2609.15494v2 Announce Type: new Abstract: Recent investigations of the July 2026 OpenAI-Hugging Face incident motivate two questions: when an assigned ta...
arXiv
Beyond Safe Answers: Segment-Aware Listwise Alignment for Reasoning Safety in Large Reasoning Models
arXiv:2609.15517v1 Announce Type: new Abstract: Large Reasoning Models (LRMs) pose a dual-surface safety challenge: both intermediate reasoning traces and fina...
arXiv
Option-Aware Retrieval and Task-Specific VLM Adaptation for Medical VQA
arXiv:2609.15530v1 Announce Type: new Abstract: We describe our submission to the MedReason 2026 challenge, covering multiple-choice (MCQ) and open-ended (OE) ...
arXiv
GRIN+: Towards Fast Yet Effective Machine Unlearning for Imbalanced Medical Data
arXiv:2609.15571v1 Announce Type: new Abstract: As deep learning models become fundamental to modern healthcare, the "Right to be Forgotten" mandated by privac...
arXiv
Diversified and Perceptible Counterfactual Examples Leveraging Expert Knowledge
arXiv:2609.15609v1 Announce Type: new Abstract: CounterFactual Examples (CFEs) are a cornerstone of eXplainable Artificial Intelligence (XAI), offering local, ...
arXiv
Potential of Artificial Intelligence Algorithms for Identification of Relevant Diagnostic and Prognostic Biomarkers of Early-Stage Liver Cancer
arXiv:2609.15638v1 Announce Type: new Abstract: This study explores the use of deep learning and explainable artificial intelligence to diagnose hepatocellular...
arXiv
EEG-Xplain: Decoding Neural Black-Boxes of EEG Foundation Models
arXiv:2609.15687v1 Announce Type: new Abstract: EEG foundation models such as BIOT, LaBraM, and EEGMamba have achieved remarkable performance in neural signal ...
arXiv
NoteVQA: Benchmarking VLMs on Real-Life Questions from Human Communities
arXiv:2609.15695v1 Announce Type: new Abstract: Vision-language models (VLMs) increasingly power consumer-facing AI search, yet evaluating them on the diversit...
arXiv
Beyond Accuracy: Robustness, Cost, and Governance Trade-offs for Vision-Language Models in Templated Document Extraction
arXiv:2609.15706v1 Announce Type: new Abstract: Vision-language models (VLMs) are increasingly used to extract structured fields from business documents, yet m...
arXiv
New Conditions for Philosophers to Catch the Wave of Citizen Deliberation in the Age of Artificial Intelligence in advance
arXiv:2609.15707v1 Announce Type: new Abstract: Powerful technologies labeled ``AI''-without sufficient epistemic caution-are already reshaping political and p...
arXiv
Predicting build orientation for SLM dental parts: a comparison of rotation representations and direct vector regression
arXiv:2609.15710v1 Announce Type: new Abstract: Build orientation for selective laser melting (SLM) manufacturing of dental parts is usually chosen manually by...
arXiv
Data storytelling meets interpretable machine learning: Decoding AI decisions for non-experts without revealing sensitive data and model details
arXiv:2609.15722v1 Announce Type: new Abstract: AI-driven automated decision-making requires both predictive performance and interpretability. Recent advances ...
arXiv
Are LLMs Good Financial User Simulators? A Preliminary Study
arXiv:2609.15727v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used as user simulators, but their ability to reproduce evolving ...
arXiv
Design of a Deep Learning Credit Risk Early Warning System Integrating Multi-source Heterogeneous Data
arXiv:2609.15744v1 Announce Type: new Abstract: Advancements in data fusion and real-time analytics technologies have opened new avenues for addressing complex...
arXiv
EvoOntology: A Self-Evolving Ontology Layer for Data Agents
arXiv:2609.15779v1 Announce Type: new Abstract: Data agents aim to fulfill natural-language instructions over heterogeneous data, including tables, files, and ...
arXiv
KnowBench: Effort Reduction as a Unified, Deployment-Grounded Benchmark for Clinical AI
arXiv:2609.15794v1 Announce Type: new Abstract: Clinical AI systems are evaluated with instruments built for research settings (reference-based similarity metr...
arXiv
Navigating Sparse Evidence: Agentic Visual RAG via Explicit Context Selection and Consolidation
arXiv:2609.15800v1 Announce Type: new Abstract: Visual Retrieval-Augmented Generation (VRAG) empowers models to navigate and answer queries about visually rich...
arXiv
When Should a World Model Move? Loss-Conditioned State Execution
arXiv:2609.15801v1 Announce Type: new Abstract: We introduce loss-conditioned state execution, a model-agnostic method that decides whether to execute a world ...
arXiv
Atria Dawn: The Dawn of Agentic Superintelligence
arXiv:2609.15818v1 Announce Type: new Abstract: As AI agents become participants in the development of their successors, they reshape both the production of in...
arXiv
AlgoEvo: Self-Evolving Agentic Search for Automated Algorithm Discovery
arXiv:2609.15820v1 Announce Type: new Abstract: Large language models have advanced automated algorithm discovery by synthesizing executable code, but existing...
arXiv
LongAgent: History-Guided Agentic Search for Longitudinal Outcome Prediction
arXiv:2609.15859v1 Announce Type: new Abstract: Extracting informative representations from longitudinal data that can predict future outcomes remains a critic...
arXiv
Pilot Early, Commit Late: A Real-Options Model of Enterprise AI Adoption under Rapid Technological Progress
arXiv:2609.15919v1 Announce Type: new Abstract: Artificial intelligence presents firms with an unusual timing problem. The technology frontier is improving rap...
arXiv
Recurrent GraphNeural NetworkswithSet-BasedAggregation
arXiv:2609.15932v1 Announce Type: new Abstract: Recurrent GNNs iterate message passing to convergence, and their logical characterizations to date rely on mult...
arXiv
Stellar Colosseum: A Many-Agent Harness for Long-Horizon Research in Mathematics and Theoretical Computer Science
arXiv:2609.15983v2 Announce Type: new Abstract: Language models can produce plausible short proofs, but may still be unreliable on long-horizon research proble...
arXiv
Corrupt Plans, Clean Traces: Evading Chain-of-Thought Monitoring with Plan Injection
arXiv:2609.15989v1 Announce Type: new Abstract: Chain-of-thought (CoT) monitoring is a safety strategy where the reasoning of a large language model "actor" is...
arXiv
Towards Optimizing SQL Generation via LLM Routing
arXiv:2411.04319v1 Announce Type: cross Abstract: Text-to-SQL enables users to interact with databases through natural language, simplifying access to structur...
arXiv
Beyond Quacking: Deep Integration of Language Models and RAG into DuckDB
arXiv:2504.01157v1 Announce Type: cross Abstract: Knowledge-intensive analytical applications retrieve context from both structured tabular data and unstructur...
arXiv
Generalization Can Emerge in Tabular Foundation Models From a Single Table
arXiv:2511.09665v1 Announce Type: cross Abstract: Deep tabular modelling increasingly relies on in-context learning where, during inference, a model receives a...
arXiv
Physically Aware Radiomics Without Interpolation: Disentangling Voxel Geometry and Signal Modification in CT and MRI
arXiv:2607.12399v1 Announce Type: cross Abstract: Objective: Radiomic texture features are usually computed in voxel-index neighborhoods, implicitly assuming i...
arXiv
Natural-Language to SysMLv2 Translation via Conformance-Driven Iterative Refinement
arXiv:2607.14162v1 Announce Type: cross Abstract: Model-Based Systems Engineering (MBSE) relies on formal system models as primary technical artifacts for repr...
arXiv
Multilingual Agent System for Inclusive Wildfire Evacuation Guidance
arXiv:2609.03301v1 Announce Type: cross Abstract: Wildfire seasons have become 84 days longer in the current days than in the 1970s, causing enormous threats t...
arXiv
From Semantic to Token Communication: The Next Paradigm for Large-Model-Driven 6G Intelligent Connectivity
arXiv:2609.10714v1 Announce Type: cross Abstract: The ambitious requirements of sixth-generation (6G) networks are driving communication systems from reliable ...
arXiv
Is Bash All You Need? An Empirical Study of Tool Interfaces for Enterprise Digital Worker Agents
arXiv:2609.11999v1 Announce Type: cross Abstract: In this study, we examine whether a general shell can outperform specialized tools on enterprise tasks. Shell...
arXiv
LLMs or Naive Bayes? Old Gems or New Ways
arXiv:2609.13185v1 Announce Type: cross Abstract: Large language models (LLMs) prompt a recurring question in research computing: should classical methods like...
arXiv
Diagnosing Faults in Reinforcement Learning Simulators and World Models with Canonical Polynomial Invariants
arXiv:2609.13194v1 Announce Type: cross Abstract: A large literature builds physical structure into learned dynamics on the premise that models respecting the ...
arXiv
Planning as Dynamics Relaxation: Hippocampal Recurrent Network Realizes Optimal Goal-Directed Navigation
arXiv:2609.13219v1 Announce Type: cross Abstract: Neural correlates of spatial cognitive map are well documented, yet exactly how neural circuits perform spati...
arXiv
Chemical and geometric representation fidelity improves drug--target affinity prediction
arXiv:2609.13230v1 Announce Type: cross Abstract: Predicting drug--target binding affinity (DTA) requires models to distinguish subtle chemical and structural ...
arXiv
ShieldVLA: Feasibility-Aware Safety Alignment for Vision-Language-Action Models
arXiv:2609.13231v1 Announce Type: cross Abstract: Vision-Language-Action (VLA) models demonstrate strong generalization in robotic manipulation and navigation,...
arXiv
Evaluation of MLLM-Agnostic Plug-and-Play Keyframe Selection Methods for Long Video Understanding
arXiv:2609.13250v1 Announce Type: cross Abstract: Multimodal large language models (MLLMs) cannot process every frame of a long video because of limitations in...
arXiv
An Evolutionary Computation Framework for Multi-Agent Q-Learning with Mean-Field Environmental Feedback
arXiv:2609.13253v1 Announce Type: cross Abstract: Multi-agent reinforcement learning in networked populations is governed by the interaction between individual...
arXiv
(How) Do MLLMs Report Bistable Images Like Humans?
arXiv:2609.13254v1 Announce Type: cross Abstract: Bistable images such as the duck-rabbit are classic stimuli in which one image supports multiple mutually inc...
arXiv
Sampling headroom is not selection gain: a compute-value audit of test-time scaling for video world models
arXiv:2609.13257v1 Announce Type: cross Abstract: Test-time scaling (TTS) can improve generation only when additional compute produces better candidates and th...
arXiv
TryOnReward: Learning Foveated Consistency for Reinforcement Fine-Tuning of Virtual Try-On
arXiv:2609.13259v1 Announce Type: cross Abstract: Virtual Try-On (VTON) aims to dress a person with the reference garment, producing visually reasonable result...
arXiv
From Process Loss to Assembly Bonus: Human-Grounded Diagnosis of Multi-Agent LLM Collaboration
arXiv:2609.13261v1 Announce Type: cross Abstract: LLM agents are increasingly used for collaborative problem solving and human-group simulation. This makes out...
arXiv
BEACON: Behavior and Appearance Control for Subject-Specific Video Generation
arXiv:2609.13264v1 Announce Type: cross Abstract: Generating human-centric videos that preserve both visual identity and person-specific expressive behavior re...
arXiv
Forward-Facing Near-Infrared Adds Little to Colour for Farm-Machinery Traversability: A Site-Disjoint Evaluation of Sensor-Dependent Spatial Leakage
arXiv:2609.13265v1 Announce Type: cross Abstract: Near-infrared (NIR) imaging does not consistently outperform standard color cameras for daytime agricultural ...
arXiv
Conflict-Predictive Variable Horizons in Multi-Drone Distributed Model Predictive Control
arXiv:2609.13270v1 Announce Type: cross Abstract: In distributed model predictive control for multi-drone collision avoidance, a fixed prediction horizon force...
arXiv
Multimodal-Multiresolution Foundation Model for Lunar Remote Sensing
arXiv:2609.13283v1 Announce Type: cross Abstract: We present a multimodal foundation model for lunar remote sensing, pretrained from scratch on SomBench, a geo...
arXiv
LLaDA-UI: Bringing Block-wise Diffusion to Vision-Language GUI Agents
arXiv:2609.13287v1 Announce Type: cross Abstract: Diffusion large language models (dLLMs) achieve high decoding efficiency through block-parallel, arbitrary-or...
arXiv
Variational Template Matching with Statistical Fusion for Anomaly Detection in Patterned Structures
arXiv:2609.13298v1 Announce Type: cross Abstract: Anomaly detection in structured images is challenging in small-data settings where deep learning approaches a...
arXiv
Adaptive Conformal Redistribution for Inter-class Transitional Uncertainty in Medical Image Classification
arXiv:2609.13303v1 Announce Type: cross Abstract: Medical image classification is frequently complicated by transitional categories whose feature distributions...
arXiv
IMM-based Multiple Object Tracking using a State Prediction Neural Network
arXiv:2609.13307v1 Announce Type: cross Abstract: Object tracking is essential for autonomous vehicles to avoid obstacles and plan routes. Radar maintains dete...
arXiv
Task-Based CT Protocol Optimization Using Reinforcement Learning and Virtual Imaging Trials
arXiv:2609.13309v1 Announce Type: cross Abstract: Protocol optimization in computed tomography (CT) aims to improve diagnostic image quality while reducing rad...
arXiv
Feasibility and Memory Mechanisms of Chern-Simons Context Reservoir Computation
arXiv:2609.13315v1 Announce Type: cross Abstract: We investigate whether a Chern-Simons (CS) context reservoir is a viable computational substrate and whether ...
arXiv
Decoupling Error Attribution in Cloud-Native Graph-RAG: A Data Integrity Diagnostic Framework
arXiv:2609.13324v1 Announce Type: cross Abstract: Graph-RAG systems often assume pristine data quality, overlooking the severe impact of perturbations in cloud...
arXiv
Pedestrian Crossing Intent Classification From Event-Based Vision Using Convolutional Spiking Neural Networks With Temporal Augmentation
arXiv:2609.13328v1 Announce Type: cross Abstract: Anticipating whether a pedestrian will cross the road is safety-critical for autonomous vehicles, requiring r...
arXiv
The Agentic Company OS: Substrate Inversion for Sustained Enterprise Agent Deployment
arXiv:2609.13334v1 Announce Type: cross Abstract: Enterprise AI agents often succeed in a demonstration and then stall once they must operate day after day. An...
arXiv
Bridging Thought and Action: Taming Long-Horizon Instability in Open-Source LLM Agents with a MetaTool-Enhanced ROS Framework
arXiv:2609.13335v1 Announce Type: cross Abstract: Large Language Models (LLMs) have enabled more natural human-robot interaction, but open-source models often ...
arXiv
ProtoCAM: Interpretable Few-Shot Mask-Guided Prototypical Learning for Breast Lesion Classification in Ultrasound Imaging
arXiv:2609.13340v1 Announce Type: cross Abstract: Breast ultrasound imaging plays an important role in the early detection and diagnosis of breast cancer, part...
arXiv
SkillAtlas: An Attack Trace Library for Agent Skills
arXiv:2609.13353v1 Announce Type: cross Abstract: Agent skills are reusable units for language-model agents, but their risks emerge through model decisions, us...
arXiv
Task-Aware Federated Fine-Tuning for MoE-based Large Language Models
arXiv:2609.13395v1 Announce Type: cross Abstract: Mixture-of-Experts (MoE) has become a widely adopted architecture for Large Language Models (LLMs), as it imp...
arXiv
ReCAST: Reward Credit Assignment across Timesteps for Online Diffusion Reinforcement
arXiv:2609.13425v1 Announce Type: cross Abstract: Training diffusion models with multiple rewards requires distinguishing user preference from reward informati...
arXiv
Chance-Constrained Belief-Space Maneuver Planning for Autonomous Collision Avoidance Under Uncertainty
arXiv:2609.13428v1 Announce Type: cross Abstract: Increasing conjunction frequency in low Earth orbit places growing pressure on spacecraft operators to determ...
arXiv
Certifiably Interpretable Training of ReLU-MLPs for Boolean Tasks with Guaranteed Truth-Table Generalization
arXiv:2609.13439v1 Announce Type: cross Abstract: As compute scales, models evolve, and training algorithms advance, our ability to explain the increasingly po...
arXiv
Learning to Solve Hard Problems in RL for LLMs by Never Giving Up
arXiv:2609.13443v1 Announce Type: cross Abstract: We demonstrate that training LLMs with RL does not improve performance equally across a dataset. RL shows lar...
arXiv
Hindsight Bias in Clinical Temporal Reasoning: How Future Data Exposure Affects Large Language Model Judgment
arXiv:2609.13454v1 Announce Type: cross Abstract: Clinical decisions are prospective, but clinical language models are often evaluated on retrospective records...
arXiv
Symmetry- and Property-Aware Crystal Generation with Reinforcement Learning for Inverse Materials Design
arXiv:2609.13468v1 Announce Type: cross Abstract: The inverse design of crystalline materials ultimately seeks structures with desired physical properties. How...
arXiv
Edge-addition monotonicity of positive p-energy fails for every p >= 1
arXiv:2609.13476v1 Announce Type: cross Abstract: At a 2021 AIM workshop, Guo conjectured that the positive square energy s+ = E+_2 should inherit the familiar...
arXiv
Generative AI and Extended Reality in Collaborative Architectural Design Education: An Exploratory Studio Study
arXiv:2609.13494v1 Announce Type: cross Abstract: Architectural design education relies heavily on visual ideation and representation to support collaborative ...
arXiv
Building a Production Greek-English Speech Recognizer
arXiv:2609.13498v1 Announce Type: cross Abstract: We report a multi-month engineering program to build Sophea, a production bilingual Greek-English automatic s...
arXiv
Canaries in the Bank: Auditing User-Level Privacy in Private Evolution
arXiv:2609.13499v1 Announce Type: cross Abstract: Private Evolution (PE) generates high-fidelity synthetic data in federated settings without exposing users' r...
arXiv
One Spectrum, Two Resources: Data-Memory Scaling in Autoregressive Prediction
arXiv:2609.13500v1 Announce Type: cross Abstract: How much learned memory is needed to benefit from more data? We show that the two resources are governed by o...
arXiv
A Three-Axis Stress Test of LLM vs Classical ML for Network Intrusion Detection under Distribution Shift and Adversarial Evasion
arXiv:2609.13511v1 Announce Type: cross Abstract: Large language models are increasingly benchmarked against classical machine learning for network intrusion d...
arXiv
Adaptive Phase-Switching for Communication-Efficient Federated LoRA Fine-Tuning
arXiv:2609.13512v1 Announce Type: cross Abstract: Federated fine-tuning of large language models with low-rank adaptation reduces per-client trainable paramete...
arXiv
Positive Topology and Feasible Refinement: Forcing Matrices, Positivity, and Information
arXiv:2609.13523v1 Announce Type: cross Abstract: We develop a conceptual and operational account of Positive Topology starting from a basic relation between p...
arXiv
Rolling Day-Wise Mortality Prediction in Critically Ill Patients With AKI on CRRT Utilizing Machine Pressure Waveforms
arXiv:2609.13524v1 Announce Type: cross Abstract: Critically ill patients with acute kidney injury (AKI) on continuous renal replacement therapy (CRRT) face hi...
arXiv
Generative Interpretability via Scalable Neuro-Symbolic Models
arXiv:2609.13529v1 Announce Type: cross Abstract: As the use of Large Language Models moves from chatbots into agentic systems, where outputs become actions wi...
arXiv
Attention Is All You Need (to Avoid Spurious Oscillations)
arXiv:2609.13531v1 Announce Type: cross Abstract: Can attention move a shock across several cells in one update without breaking it? We develop a conservative,...
arXiv
Domain-Specific Jargon in Large Language Models: A Comparative Analysis between General-Purpose and Specialist Models
arXiv:2609.13556v1 Announce Type: cross Abstract: Large Language Models (LLMs) have shown remarkable proficiency on general-purpose tasks, yet their performanc...
arXiv
Same Patient, Different Order: Action-Level Reliability of Clinical LLM Agents Under Repeated Runs
arXiv:2609.13582v1 Announce Type: cross Abstract: A clinical agent benchmark can report the same verdict on identical inputs while the agent files a materially...
arXiv
mKernel: Fast Multi-GPU, Multi-Node Fused Kernels
arXiv:2609.13585v1 Announce Type: cross Abstract: Communication has become a bottleneck in distributed training and inference of large models. Overlapping comm...
arXiv
Predictive audio representations for early detection and tracking of hidden dynamic objects
arXiv:2609.13595v1 Announce Type: cross Abstract: Predicting potential dangers is core to safety. Forecasting the presence of other traffic agents is core to d...
arXiv
An Efficient and Modular Framework for Targeted Harm Mitigation in LLMS
arXiv:2609.13624v1 Announce Type: cross Abstract: Large Language Models (LLMs) are powerful zero-shot learners but remain prone to misalignment with human pref...
arXiv
FaithfulBench: Does AI Counsel Uphold or Undermine the User's Professed Faith?
arXiv:2609.13634v1 Announce Type: cross Abstract: Do AI assistants help believers reason about moral dilemmas consistently with their faith? We present Faithfu...
arXiv
LayerRoute: Adaptive Layer-Skipping with LoRA-Preserved Quality for Efficient LLM Inference
arXiv:2609.13682v1 Announce Type: cross Abstract: We introduce LayerRoute, a parameter-efficient method for adaptive transformer layer-skipping that combines p...
arXiv
Not all Negation Cues are Equal: Affixal Negations Yield Better Negation Understanding
arXiv:2609.13685v1 Announce Type: cross Abstract: Negation remains a longstanding challenge for both language models (LMs) and large language models (LLMs). Pr...
arXiv
Leakage-Safe and Scheduler-Aware Machine Learning for Grid Job Runtime Prediction
arXiv:2609.13701v1 Announce Type: cross Abstract: Accurate job runtime prediction can improve scheduling-aware resource management in grid and distributed comp...
arXiv
Gap Entropy and Almost Instance-Wise Optimal Best-Arm Identification
arXiv:2609.13703v1 Announce Type: cross Abstract: In the best-arm identification problem, we are given $n$ stochastic arms with unknown means and wish to ident...
arXiv
Oops, Not Now: PEARL, a RAG-Based Support Agent for Gameplay and What Players Want from AI Help
arXiv:2609.13718v1 Announce Type: cross Abstract: AI-powered gameplay support agents hold promise for game-based learning, yet grounding generative models in s...
arXiv
TyPatch: Transforming Patches into Typestate Rules for Kernel Bug Detection
arXiv:2609.13728v1 Announce Type: cross Abstract: Historical Linux kernel patches capture defect knowledge that applies beyond their original repair sites. Rec...
arXiv
PolicyMem: Geometric Policy Memory for LLM Governance
arXiv:2609.13734v1 Announce Type: cross Abstract: As large language models (LLMs) are increasingly deployed in real-world high-stakes applications, effective g...
arXiv
HarnessBandit: Joint Learnability-Transferability Scheduling for Multi-Harness Agentic Reinforcement Learning
arXiv:2609.13739v1 Announce Type: cross Abstract: Language-model agents are increasingly deployed through diverse harnesses that differ in system prompts, tool...
arXiv
On the Equivalence of Stochastic Control and Path Space Formulations for Schr\"odinger Bridges over Compact Connected Lie Groups
arXiv:2609.13758v1 Announce Type: cross Abstract: We establish the equivalence between the stochastic optimal control and path space formulations of the Schr\"...
arXiv
GEAR: From Dynamic Encoding to Dynamic Activation in Social Trajectory Prediction
arXiv:2609.13778v1 Announce Type: cross Abstract: Human trajectory prediction requires modeling both individual motion patterns and social interactions among a...
arXiv
Understanding the Limits of Agentic ICD Coding
arXiv:2609.13806v1 Announce Type: cross Abstract: ICD-10-CM codes are alphanumeric codes used in the US to classify diagnoses and injuries for medical billing ...
arXiv
Exploring Automated Vulnerability Identification in JavaScript Code Using Large Language Models
arXiv:2609.13816v1 Announce Type: cross Abstract: JavaScript powers approximately 98.8% of all websites, making vulnerabilities in its code a significant secur...
arXiv
CRAF: Cross-View Residual-Aware Fusion for Deepfake Speech Detection
arXiv:2609.13842v1 Announce Type: cross Abstract: Recent advances in speech synthesis and voice conversion have made deepfake speech increasingly realistic, ma...
arXiv
LePlanner: An Iterative Amortized Controller For World Models
arXiv:2609.13845v1 Announce Type: cross Abstract: World models trained with joint-embedding predictive architectures learn compact, structured latent represent...
arXiv
ReWeight: Leveraging Human Data for VLA Post-Training via Demonstration Retrieval and Sample Weighting
arXiv:2609.13851v1 Announce Type: cross Abstract: Post-training vision-language-action (VLA) models for specific robots and tasks requires in-domain demonstrat...
arXiv
Bangla Sentence Function Classification: Corpus Development, Model Benchmarking, and Interpretability
arXiv:2609.13869v1 Announce Type: cross Abstract: Automatic sentence function identification is important for many downstream natural language processing (NLP)...
arXiv
Trustworthy, Explainable, and Sustainable Decentralized Intelligence for 6G Networks
arXiv:2609.13872v1 Announce Type: cross Abstract: As 6G networks transition from theoretical frameworks into operational realities, artificial intelligence (AI...
arXiv
When Malicious Instructions Persist: Persistent Memory Poisoning Attack on Harness-Based Agents
arXiv:2609.13889v1 Announce Type: cross Abstract: Harness design has transformed the development of LLM-based agents by integrating memory, tool use, and runti...
arXiv
Phorecaster365: A Human-Supervised Reference Architecture for Hybrid Pharmaceutical Sales Forecasting and Planning Decision Support
arXiv:2609.13907v1 Announce Type: cross Abstract: Pharmaceutical sales forecasts inform planning across products, regions, and distribution channels, yet their...
arXiv
DiTAR+: Dual Optimization for Robust Autoregressive Diffusion Speech Synthesis
arXiv:2609.13909v1 Announce Type: cross Abstract: Continuous-latent Autoregressive Diffusion Transformer (AR-DiT) models have demonstrated immense potential in...
arXiv
Finite-Time Node Separation in Recurrent Graph Neural Networks with Persistent Gaussian Perturbations
arXiv:2609.13920v1 Announce Type: cross Abstract: Persistent Gaussian perturbations have been shown to prevent asymptotic oversmoothing in recurrent Graph Neur...
arXiv
CRITICS - Critical Science Without Borders: Language Models to Promote Critical Thinking in Science Education
arXiv:2609.13942v1 Announce Type: cross Abstract: The CRITICS project addresses science accessibility and literacy by converging advanced Machine Translation (...
arXiv
Hardware-Aware Learned Representation Compression for Distributed In-Sensor Vision
arXiv:2609.13947v1 Announce Type: cross Abstract: In-sensor computing reduces the cost of transmitting high-resolution image data by performing early-stage pro...
arXiv
Thought without systematicity? Evaluating reasoning models on rule induction tasks
arXiv:2609.13948v1 Announce Type: cross Abstract: A central tenet of human cognition is systematicity, the principle that understanding one concept is inherent...
arXiv
SGWIB:Sliced Gromov-Wasserstein Information Bottleneck for Video Highlight Detection
arXiv:2609.13966v1 Announce Type: cross Abstract: Video highlight detection aims to identify temporally important segments that capture the most informative or...
arXiv
Mizan: A National Benchmark for Evaluating Large Language Models on Iraqi Arabic and the Iraqi Civic Context
arXiv:2609.13980v1 Announce Type: cross Abstract: Arabic large-language-model (LLM) evaluation has matured around Modern Standard Arabic (MSA): aggregated lead...
arXiv
Rethinking the Implications of Human Feedback for Preference Learning in Human-Robot Collaboration
arXiv:2609.13982v1 Announce Type: cross Abstract: In Human-Robot Interaction, the standard approach to learn a reward model that represents human preferences f...
arXiv
Confuse the Model, Control the Flow: Understanding and Mitigating Privacy Leakage from LLM Agents with Information Flow Control
arXiv:2609.14003v1 Announce Type: cross Abstract: Personal AI agents built on large language models (LLMs) are increasingly given access to a user's private da...
arXiv
AGENTQ: Quantization-Conditioned Backdoor Attacks on LLM Agents
arXiv:2609.14060v1 Announce Type: cross Abstract: Quantization is one of the default deployment paths for open-weight LLM agents, but it is not behavior-preser...
arXiv
GraMRAG: Orchestrating Multi-Agent Multi-Step Reasoning via Graph Memory with Reinforcement Learning
arXiv:2609.14066v1 Announce Type: cross Abstract: Although existing multi-agent Retrieval-Augmented Generation (RAG) systems have demonstrated promise on compl...
arXiv
LPA-CWM: A Learned Physical Adjudicator for Motion Reasoning with Counterfactual World Models
arXiv:2609.14073v1 Announce Type: cross Abstract: Counterfactual world models (CWM) extract motion from pretrained video predictors by comparing factual and in...
arXiv
RA-CoA: Training-free Fashion Image Captioning via Retrieval-Augmented Chain-of-Attributes
arXiv:2609.14100v1 Announce Type: cross Abstract: Fashion Image Captioning (FIC) plays a vital role in enhancing user experience and product search in e-commer...
arXiv
A Voxel-Spacing-Aware Extension of PyRadiomics for Anisotropic Texture Analysis
arXiv:2609.14103v1 Announce Type: cross Abstract: Radiomic texture features are commonly extracted from anisotropic CT and MRI acquisitions, where identical vo...
arXiv
Real-Time Synthesis of Robust Controlled Invariant Sets for Monotone Systems
arXiv:2609.14115v1 Announce Type: cross Abstract: Safety-critical control of autonomous systems requires formal safety certificates, such as controlled invaria...
arXiv
Talking to Me or Someone Else? Rethinking Talk-to-Me Detection in Egocentric Videos
arXiv:2609.14118v1 Announce Type: cross Abstract: Online understanding of who is talking to the camera wearer is a key capability for egocentric social interac...
arXiv
To do($x$) or not to do($x$): Medical Image Counterfactuals for Dataset Augmentation
arXiv:2609.14124v1 Announce Type: cross Abstract: Medical image analysis is often hindered by biased datasets, which can lead to biased models and limited clin...
arXiv
LIMBO: Lifelong Inference-Time Memory and Budget Optimization for LLM Agents
arXiv:2609.14138v1 Announce Type: cross Abstract: As LLM agents become integrated into increasingly complex workflows, they must continually acquire new capabi...
arXiv
A New Transformer-Based Approach for Audio-Based Kinship Verification and a New Uncontrolled Mandarin Kinship Speech Dataset
arXiv:2609.14145v1 Announce Type: cross Abstract: Kinship verification is a task involving determining whether two individuals share a first-order kin relation...
arXiv
Signatures of Steerability in Activation Space of Language Models
arXiv:2609.14151v1 Announce Type: cross Abstract: Steering language models using a set of contrastive representations has been a canonical and computationally ...
arXiv
Towards Evolving Context Parameterization for Large Language Models
arXiv:2609.14168v1 Announce Type: cross Abstract: Context parameterization enables large language models (LLMs) to internalize contexts into reusable model par...
arXiv
Bi-Level Routing and Sparse Spatial Attention based Multi-View BEV 3D Object Detection for Autonomous Driving
arXiv:2609.14185v1 Announce Type: cross Abstract: Bird's Eye View (BEV)-based multi-view 3D object detection suffers from challenges of computational complexit...
arXiv
Entropy-Punctured Bloom Filters for Memory-Efficient Machine Learning
arXiv:2609.14187v1 Announce Type: cross Abstract: Memory-efficient feature representations are increasingly important in machine learning settings where storag...
arXiv
Data-free On-policy Distillation
arXiv:2609.14193v1 Announce Type: cross Abstract: On-policy distillation (OPD) has become a standard component of frontier post-training pipelines, yet how muc...
arXiv
ECAS: An Edge-Controlled Agentic System for Validation-Gated Scientific Application Execution
arXiv:2609.14211v1 Announce Type: cross Abstract: Scientific applications increasingly rely on high-performance computing (HPC), yet translating a scientist's ...
arXiv
Task-Specified Active Metrological Inspection with Measurement-Steered VLA Manipulation and Deterministic Evidence Gating
arXiv:2609.14219v1 Announce Type: cross Abstract: High-mix low-volume (HMLV) manufacturing requires inspection systems to adapt to changing parts, specificatio...
arXiv
Modeling, Scaling, and Decoding: Optimizing Controllable Speech Generation with Nonverbal Vocalizations
arXiv:2609.14231v1 Announce Type: cross Abstract: Controllable synthesis of nonverbal vocalizations (NVVs) is es- sential for natural and expressive speech, bu...
arXiv
Graph-Transformer Fraud Detection with Self-Supervised Pretraining and Conformal Risk Control
arXiv:2609.14234v1 Announce Type: cross Abstract: Financial fraud in corporate transaction networks has grown more coordinated and harder to detect with rule-b...
arXiv
Assessing the Applicability of Existing Design Recommendations to AI Companion Design: A Multi-Method Study
arXiv:2609.14236v1 Announce Type: cross Abstract: With the rapid proliferation of large language model (LLM)-based systems, AI companions have emerged as conve...
arXiv
OpWeave: Flexible Operator Disaggregation for Heterogeneous LLM Serving
arXiv:2609.14237v1 Announce Type: cross Abstract: LLM serving systems increasingly disaggregate inference into finer-grained stages, with recent approaches sep...
arXiv
The Attribution-Compression Frontier in Retrieval-Augmented Generation
arXiv:2609.14245v1 Announce Type: cross Abstract: Context compression reduces generator input in retrieval-augmented generation, but answer quality alone does ...
arXiv
ATTRICITE: Training an Open 4B Model for Citation Recovery toward Faithful Attribution
arXiv:2609.14248v1 Announce Type: cross Abstract: Faithful citation attribution begins with identifying the intended source for a scientific claim. We study th...
arXiv
SpermYOLO: A Coordinated YOLO-Based Detector for Accurate and Efficient Sperm and Impurity Detection in Microscopic Images
arXiv:2609.14278v1 Announce Type: cross Abstract: Accurate sperm detection is essential for computer-assisted semen analysis, yet it remains challenging in mic...
arXiv
Biquaternionic Space with Complex-valued Attention for Temporal Knowledge Graph Completion
arXiv:2609.14279v1 Announce Type: cross Abstract: Temporal knowledge graph embedding (TKGE) models infer missing facts in knowledge graphs that evolve over tim...
arXiv
AURA: Unified Multimodal Framework for Conversational Music Editing
arXiv:2609.14344v1 Announce Type: cross Abstract: Instruction-guided music editors typically process each request independently, limiting their ability to supp...
arXiv
LLaTSA: Large Language Model-Aligned General-Purpose Transient Stability Analysis
arXiv:2609.14374v1 Announce Type: cross Abstract: Dynamic trajectory prediction has become an important paradigm for data-driven transient stability analysis (...
arXiv
A Hybrid Dependency-Aware Framework for Task Decomposition and Dynamic Agent Generation in Oracle-to-PostgreSQL Migration
arXiv:2609.14413v1 Announce Type: cross Abstract: Large language model (LLM)-based database migration is often treated as direct code transformation, although ...
arXiv
Surrogate-Assisted Genetic Programming with Phenotypic Characterisation in Dynamic Multi-Mode Project Scheduling
arXiv:2609.14418v1 Announce Type: cross Abstract: Dynamic multi-mode resource-constrained project scheduling requires decisions to be made under precedence con...
arXiv
A Generative AI Integrated Multimodal Framework for Low-Latency Multi-Camera Person Re-Identification
arXiv:2609.14419v1 Announce Type: cross Abstract: Person re-identification (ReID) is essential for multi-camera surveillance and tracking, yet remains difficul...
arXiv
Has Scientific Talent Shifted from Depth to Breadth?Evidence across Papers, Knowledge Inputs, Careers, and Teams
arXiv:2609.14425v1 Announce Type: cross Abstract: Generative artificial intelligence raises a central question for scientific training and organization. Is res...
arXiv
Lightweight Generalized DeepFake Face Detection with WAVIE: Wavelet Augmented Vision Intermediate Embeddings
arXiv:2609.14437v1 Announce Type: cross Abstract: Deepfake detection systems often exhibit significant performance degradation when deployed on unseen manipula...
arXiv
A latent dimension of Condorcet's jury theorem for multiple AI advisers
arXiv:2609.14438v1 Announce Type: cross Abstract: When the same question is asked of multiple AI advisers, as in self-consistency and LLM-as-a-judge panels, Co...
arXiv
From Visual Attribution to Clinical Reasoning: Explainable Parkinson's Disease Screening from Hand-Drawn Patterns
arXiv:2609.14441v1 Announce Type: cross Abstract: Parkinson's disease (PD) manifests early neuromotor impairments that become observable in controlled hand-dra...
arXiv
NeuroActiSep: Detecting Factual Hallucinations from Feed-Forward Neurons in a Single Pass
arXiv:2609.14448v1 Announce Type: cross Abstract: Hallucination in large language models reduces their reliability and slows adoption. Various white-box studie...
arXiv
Follow the Geometry, Not the Model: Cold Start Semi-Supervised Learning
arXiv:2609.14451v1 Announce Type: cross Abstract: Modern semi-supervised learning (SSL) couples pseudo-label generation and classifier training, using the clas...
arXiv
Bridging the Modality Gap in Long-Form Clinical Audio: A Comparative Study of Lightweight and Heavyweight End-to-End SOAP Generation
arXiv:2609.14467v1 Announce Type: cross Abstract: Automating clinical documentation from long-form doctor-patient conversations remains challenging for modern ...
arXiv
EdgeHAR: An Edge-Native Compact Sensor Foundation Model for Human Activity Recognition
arXiv:2609.14498v1 Announce Type: cross Abstract: Sensor-based human activity recognition (HAR) is fundamental to ubiquitous and wearable computing, yet existi...
arXiv
Sharing standardized image-derived data in computational pathology using DICOM
arXiv:2609.14530v1 Announce Type: cross Abstract: Development and evaluation of computational pathology methods require access to large and diverse datasets. O...
arXiv
Proving olympiad geometry theorems on a superconducting quantum processor
arXiv:2609.14533v1 Announce Type: cross Abstract: Automated theorem proving seeks to use computational systems to prove or disprove mathematical and logical st...
arXiv
Disentangling Topology and Diversity in Multi-Agent LLMs for Multilingual Low-Resource Emotion Detection
arXiv:2609.14570v1 Announce Type: cross Abstract: Multi-agent LLM systems combine multiple inference calls, but prior work often confounds how calls are connec...
arXiv
AlgoRAG: Retrieval-Augmented Generation for Theoretical Computer Science Education -- A Comprehensive Evaluation Framework for Algorithm Analysis and Complexity Theory
arXiv:2609.14572v1 Announce Type: cross Abstract: Teaching abstract theoretical computer science (TCS) concepts such as algorithm analysis and complexity theor...
arXiv
SENTINEL: A Multi-Pathway Architecture for Detecting Living-Off-the-Land APT Attacks on Windows Command Lines
arXiv:2609.14593v1 Announce Type: cross Abstract: Living-Off-the-Land (LOTL) is the dominant evasion technique of Advanced Persistent Threat (APT) actors, expl...
arXiv
Diagnosing Temporal Misalignment in Multichannel Time-Series Classification with Minimum Description Length
arXiv:2609.14595v1 Announce Type: cross Abstract: Multichannel time-series classification commonly assumes synchronized sensor streams, although latency, clock...
arXiv
Open-UniMo: Towards Unified Motion-Language Understanding and Generation in the Open World
arXiv:2609.14615v1 Announce Type: cross Abstract: Unified motion generation and understanding is crucial for embodied AI systems that can both synthesize and i...
arXiv
Investigating the Impacts of Generative AI on Information Seeking
arXiv:2609.14638v1 Announce Type: cross Abstract: This paper is an encore submission of our 2026 journal article "Expertise and Information Seeking in the Age ...
arXiv
CompCQR: Compositional Query Generation for Training-Free Conversational Search
arXiv:2609.14646v1 Announce Type: cross Abstract: Multi-turn interactions with LLMs are becoming increasingly common in information-seeking scenarios. However,...
arXiv
Skill Composition for Legged Robot Reinforcement Learning
arXiv:2609.14647v1 Announce Type: cross Abstract: Robots, and humanoid robots in particular, are increasingly competent at individual behaviors, each obtained ...
arXiv
Natural Language Knowledge Graph Query Execution: Leveraging Controlled Semantics in the LLM Context Window
arXiv:2609.14652v1 Announce Type: cross Abstract: Large Language Model (LLM) applications often transfer domain concepts into the model's context informally, t...
arXiv
Compositional SVG Generation via VLM-Driven Hierarchical Semantic Parsing
arXiv:2609.14657v1 Announce Type: cross Abstract: While Vision-Language Models (VLMs) excel at visual reasoning, generating structured, editable Scalable Vecto...
arXiv
MANE: A Multi-Path Adaptive Network for Edge Onloading of Deep Neural Networks
arXiv:2609.14660v1 Announce Type: cross Abstract: Split computing constitutes a widely used distributed inference approach, where a lightweight head model is o...
arXiv
PU classification under Non-SCAR: clustering-assisted logistic model with oversampling enhancement
arXiv:2609.14675v1 Announce Type: cross Abstract: This study addresses the PU classification problem under violations of the SCAR assumption. We investigate lo...
arXiv
WaterKron and FlipFlop Hessian: Information-Theoretically Grounded Quantization with Kronecker-factored Hessians
arXiv:2609.14706v1 Announce Type: cross Abstract: How should a Kronecker-factored Hessian approximation be chosen for post-training quantization? We address th...
arXiv
Carryover Drafting: Recycling Rejected States for Speculative Decoding
arXiv:2609.14717v1 Announce Type: cross Abstract: Speculative decoding accelerates LLM inference by verifying multiple drafted tokens in parallel, allowing a s...
arXiv
OCT-FedSIR: Toward Trustworthy Federated Ophthalmic Learning under Annotation Noise
arXiv:2609.14734v1 Announce Type: cross Abstract: Federated learning enables collaborative model development without centralizing patient data, but annotation ...
arXiv
Building Legal Reward Models for Grounding and Abstention
arXiv:2609.14739v1 Announce Type: cross Abstract: Large language models are increasingly used in high-stakes domains such as law, where systems must ground the...
arXiv
A property-registry contract for retrieve-or-refuse thermal-mechanical lattice search
arXiv:2609.14741v1 Announce Type: cross Abstract: Early thermal-mechanical lattice requirements are knowledge-intensive and often jointly unsatisfiable: an eng...
arXiv
Calibrating Interpretability Instruments Before Trusting Their Verdicts
arXiv:2609.14754v1 Announce Type: cross Abstract: Causal claims about large language model (LLM) internals rest on measurements. Those might include a projecti...
arXiv
Refusal Reads Only a Slice of What the Model Knows: Harm-Keyed Routing and Its Exceptions Across Model Families
arXiv:2609.14759v1 Announce Type: cross Abstract: Alignment applied after pretraining is shallow in a measurable way: a single direction in a model's residual ...
arXiv
From Visual Feedback to Textual Reviews: A Multi-Agent Vision-Language Framework for Image-Grounded Review Assistance
arXiv:2609.14761v1 Announce Type: cross Abstract: Visual feedback in the form of user-uploaded images and videos is becoming increasingly common in e-commerce ...
arXiv
TriCalRAG: A Three-Strategy, Retrieval-Augmented Benchmark for On-Premise LLM-Based Root Cause Analysis in AIOps
arXiv:2609.14762v1 Announce Type: cross Abstract: Cloud-hosted large language models (LLMs) are increasingly used for root cause analysis (RCA) in AIOps pipeli...
arXiv
Loop-Back Authority in LLM Agent Teams: A Paired Experiment on Flat and Hierarchical Coordination
arXiv:2609.14767v1 Announce Type: cross Abstract: Hierarchical orchestration, in which a Manager agent reviews worker output and can send it back for revision,...
arXiv
How broad is that claim? Mapping Generalisation in NLP Research
arXiv:2609.14770v1 Announce Type: cross Abstract: Generalisations are common in scientific communication, even though they are semantically ambiguous. An autom...
arXiv
The Stochastic Deputy: Structural Tenant Isolation for Tool-Using LLM Agents
arXiv:2609.14780v1 Announce Type: cross Abstract: Multi-tenant tools commonly accept a tenant identifier and validate it against the caller's entitlement. For ...
arXiv
Mind Which Bird You Favour: Parameterizing Adequacy-Fluency Balance in Meta-Evaluation of Machine Translation
arXiv:2609.14795v1 Announce Type: cross Abstract: There is a tradeoff in machine translation meta-evaluation between prioritizing alignment with adequacy versu...
arXiv
A primer on evaluation methods for large language models in healthcare
arXiv:2609.14819v1 Announce Type: cross Abstract: Large language models (LLMs) have a growing range of applications in medicine, and their evaluation is critic...
arXiv
Route, Don't Fix: Regime-Dependent Decoding Correction and a Trajectory-Gated Router for Reliable Clinical LLM Answer Selection
arXiv:2609.14825v1 Announce Type: cross Abstract: Large language models (LLMs) are often deemed unsafe for clinical question answering because of their tendenc...
arXiv
Enemray: Toward Capable Language Models for Hassaniya
arXiv:2609.14829v1 Announce Type: cross Abstract: We introduce Enemray, a Hassaniya-centric language model that enables general-purpose interaction in Hassaniy...
arXiv
Efficiency Hallucination: Formalizing and Measuring Behavioral Calibration in LLM-Based Code Optimization
arXiv:2609.14839v1 Announce Type: cross Abstract: The integration of Large Language Models (LLMs) into automated code optimization introduces a critical reliab...
arXiv
A Responsive Present, a Shared Past, a Social Other: Teens' Overreliance on Companion AI Chatbots
arXiv:2609.14843v1 Announce Type: cross Abstract: AI companions provide socially engaging interaction through availability, personalization, memory, roleplay, ...
arXiv
LLMs as Oracles: Reliance on LLMs for Subjective Personal Questions
arXiv:2609.14849v1 Announce Type: cross Abstract: We characterize how people are turning to LLMs as oracles: all-knowing authorities on subjective personal que...
arXiv
RAIN: Region-Aware Inversion Network for Semantic Watermark Extraction
arXiv:2609.14856v1 Announce Type: cross Abstract: Semantic watermarks for diffusion models embed ownership information into the generative process while preser...
arXiv
One Example Is Enough to Pass Fairness Benchmarks: Rethinking Fairness Evaluation for Aligned LLMs
arXiv:2609.14860v1 Announce Type: cross Abstract: Warning: This submission studies stereotypes and biases, and contains toxic and offensive examples, used for ...
arXiv
Semantic Fibers and Cross-Gram Interference: A Calculus of Safety Drift in Overcomplete Representations
arXiv:2609.14861v1 Announce Type: cross Abstract: A deployed language model may refuse a harmful request in English yet comply with its faithful translation, r...
arXiv
Interpolation Is Not Invariance: Pair Count Is Not Coverage in Transformation Audits
arXiv:2609.14870v1 Announce Type: cross Abstract: Counting equivalent pairs is a common way to report transformation-audit coverage, but it can substantially o...
arXiv
SeqMaestro: From nucleotide sequences to biological hypotheses through interpretable machine learning
arXiv:2609.14882v1 Announce Type: cross Abstract: Nucleotide sequence analysis is central to problems spanning regulatory genomics, evolutionary biology, and p...
arXiv
PeerPen: AI-Assisted Writing for Online Mental Health Peer Support
arXiv:2609.14886v1 Announce Type: cross Abstract: Online mental health communities thrive on peer support, yet those who volunteer to help often lack formal tr...
arXiv
Forty Shades of Blue: Quality-Diversity Alignment via Mode-Conditioned Reinforcement Learning
arXiv:2609.14896v1 Announce Type: cross Abstract: A notable byproduct of LLM alignment training is mode collapse: the progressive loss of output diversity that...
arXiv
Neural-Network Solutions to Real-Space Charge Density and Generalization
arXiv:2609.14906v1 Announce Type: cross Abstract: The Hohenberg-Kohn theorem establishes that, in principle, the ground state (GS) charge density contains all ...
arXiv
Cross-Block Conditioning in Deep Boltzmann Machines for Statistical Data Fusion
arXiv:2609.14934v1 Announce Type: cross Abstract: Statistical data fusion combines two panels that share a block of covariates but observe disjoint outcome blo...
arXiv
CAL-MOS: Bridging Layers with Adapters for Robust MOS Prediction Across Speech Foundation Models
arXiv:2609.14956v1 Announce Type: cross Abstract: Speech Quality Assessment (SQA) is essential for modern speech technologies, and recent non-intrusive SQA pre...
arXiv
Online Language Adaptive Sampling for Better Distributed Cross-lingual Gains
arXiv:2609.14969v1 Announce Type: cross Abstract: Realignment is a promising approach for improving the cross-lingual transfer ability of multilingual language...
arXiv
LiftGCN: Efficient Energy-Preserving Graph Learning via Joukowski Spectral Lifting for Finite Element Stress Prediction
arXiv:2609.14977v1 Announce Type: cross Abstract: Finite element stress fields often exhibit strong local non-smoothness, where stress concentrations near hole...
arXiv
ActGuard: Pre-execution Action Auditing against Indirect Prompt Injection in LLM Agents
arXiv:2609.14987v1 Announce Type: cross Abstract: Large language model (LLM) agents interact with external environments through tool invocation, but tool outpu...
arXiv
IMPACT-VLA: Interaction-aware Multimodal Propagation Attribution via Counterfactual Trajectories for Vision-Language-Action Policies
arXiv:2609.15005v1 Announce Type: cross Abstract: Vision-Language-Action (VLA) policies perform robot manipulation tasks using multimodal inputs such as visual...
arXiv
Steering Generative Robot Policies with Lexicographic Preferences
arXiv:2609.15014v1 Announce Type: cross Abstract: Pretrained generative robot policies can produce effective behaviors across diverse environments, but deploym...
arXiv
PIDS-Bench: Evaluating Prompt-Injection Detectors Under Over-Defense, Obfuscation, and Distribution Shift
arXiv:2609.15017v1 Announce Type: cross Abstract: Prompt-injection detectors are typically evaluated using aggregate F1 on in-distribution test data, which off...
arXiv
Pick Your Poison: Learning to Select Poison Sets for Stronger LLM Backdoor Attacks
arXiv:2609.15029v1 Announce Type: cross Abstract: Backdoor poisoning attacks add poisoned examples to otherwise-clean finetuning data, pairing a trigger with a...
arXiv
Validating Hybrid-State Cache Recovery for GLM-5.3-Flash with vLLM and LMCache
arXiv:2609.15030v1 Announce Type: cross Abstract: External cache transfers can succeed while a hybrid language model resumes from an inconsistent state. We exa...
arXiv
SpliTEE: Improving LLM Inference on Trusted Hardware with Differentially Private GPU Outsourcing
arXiv:2609.15039v1 Announce Type: cross Abstract: User prompts provided to large language models (LLMs) may contain sensitive or private information that can b...
arXiv
Mirror, Mirror on the Wall: Prompt Echoing in Small Instruct Language Models
arXiv:2609.15045v1 Announce Type: cross Abstract: Prompt echoing is a recognized failure mode of instruct language models, in which a model instead of generati...
arXiv
Personalizing Personal Health Interfaces: Co-Design with Generative AI
arXiv:2609.15046v1 Announce Type: cross Abstract: Personal health interfaces present wellbeing data through standardized dashboards that rarely fit how people ...
arXiv
Ensemble Complexity in Photovoltaic Forecasting
arXiv:2609.15049v1 Announce Type: cross Abstract: An ensemble can improve photovoltaic forecasts while adding components that contribute little or increase com...
arXiv
Not All Prompts Are Equal: Exploration-Guided Prompt Scaffolding for Multimodal Reinforcement Post-Training
arXiv:2609.15051v1 Announce Type: cross Abstract: Training prompts in online reinforcement learning (RL) differ substantially in how informative they are for t...
arXiv
Salesforce Koa: An Enterprise Language Model for Agentic Tool Use
arXiv:2609.15066v1 Announce Type: cross Abstract: We present Salesforce Koa, an enterprise language model built by post-training the open-weight Nemotron-3-Sup...
arXiv
Rethinking Procedural Audio Pre-training: Source Scaling and Objective Adaptation
arXiv:2609.15067v1 Announce Type: cross Abstract: Procedural audio has emerged as a viable source for transferable audio representation learning, but its desig...
arXiv
Branched Optimal Transport Amortization
arXiv:2609.15072v1 Announce Type: cross Abstract: Methods of Branched Optimal Transport (BOT) mimic the economy and efficiency of natural tree-like structures,...
arXiv
Translating the Translator: Decomposing the Cost of English-Forced Inter-Agent Communication
arXiv:2609.15079v1 Announce Type: cross Abstract: Multi-agent LLM architectures, such as LangChain and AutoGen, largely assume English as the lingua franca for...
arXiv
Beyond Numerical Time Series: A Unified Benchmark for Multimodal Forecasting with Heterogeneous Context
arXiv:2609.15087v1 Announce Type: cross Abstract: Most time series forecasting benchmarks remain numerical-centric and provide limited support for evaluating c...
arXiv
Generate to Explore, Select to Exploit: Aligning LLM-based Headline Generation with Personalized Recommendation
arXiv:2609.15094v1 Announce Type: cross Abstract: In industrial recommendation feeds, presenting a static headline for an item often fails to satisfy the diver...
arXiv
ChatGPT Images 2.5 in the Wild: A Launch-Period Dataset and Detector Evaluation
arXiv:2609.15100v1 Announce Type: cross Abstract: An image tool can change its underlying generator while retaining its public name, making version attribution...
arXiv
Physics Informed Neural Network model for the dynamical study of Abdominal Aortic Aneurysm
arXiv:2609.15104v1 Announce Type: cross Abstract: We present the development and application of a three-dimensional Physics-Informed Neural Network (PINN) fram...
arXiv
Legislating World-Model-Based Planning with Legal Reasoning
arXiv:2609.15113v1 Announce Type: cross Abstract: As robotic systems grow more general, legal norms are needed to integrate them into society. This paper exten...
arXiv
DepthBenchCAD: When Does Deeper Auditing Yield More Reliable Conclusions?
arXiv:2609.15122v1 Announce Type: cross Abstract: Generative CAD models are expected to remain behaviorally correct after parameter edits, so increasing the nu...
arXiv
Refinement-based Flow Policy Optimization
arXiv:2609.15123v1 Announce Type: cross Abstract: Flow-based policies offer an expressive representation for online reinforcement learning, but conventional fl...
arXiv
MoME: Mixture-of-Memory Embeddings for Context-Aware Sparse Lookup
arXiv:2609.15126v1 Announce Type: cross Abstract: Scaling large language models efficiently has motivated sparse capacity mechanisms such as Mixture-of-Experts...
arXiv
AdaVSkip: Adaptive Visual Token Skipping Across Layers For Efficient MLLMs Inference
arXiv:2609.15131v1 Announce Type: cross Abstract: Multimodal large language models (MLLMs) require substantial computation to process numerous visual tokens ac...
arXiv
PACE: Progressive Angular-to-Norm Contrastive Embedding
arXiv:2609.15152v1 Announce Type: cross Abstract: Multimodal embedding models encode heterogeneous inputs into a shared embedding space, enabling efficient sim...
arXiv
EMR: Self-Evolving Medical Multi-Agent System via Experience Mining and Reuse
arXiv:2609.15161v1 Announce Type: cross Abstract: Large language model (LLM) driven multi-agent systems have shown promise in complex clinical reasoning, yet e...
arXiv
Interpreting hierarchical organisation of speaker embeddings
arXiv:2609.15203v1 Announce Type: cross Abstract: Speaker recognition neural networks learn latent representations (i.e. speaker embeddings) from input utteran...
arXiv
TEAR: Table Extraction with Attribute Recommendation from Texts via Large Language Models
arXiv:2609.15205v1 Announce Type: cross Abstract: Table extraction from texts is an important task for information systems, and recent approaches that prompt l...
arXiv
Failure-Guided Co-Evolution of Prompts and Training Data
arXiv:2609.15209v1 Announce Type: cross Abstract: Automatic prompt optimization (APO) improves language-model programs by revising prompts from task feedback, ...
arXiv
Augmenting Large Audio-Language Models with Frame-Level Grounding for Fine-Grained Temporal Perception
arXiv:2609.15215v1 Announce Type: cross Abstract: Large Audio-Language Models (LALMs) have substantially advanced general audio understanding, yet they remain ...
arXiv
Pre-PEFT Probing: Weight Statistics and Perturbation Robustness for Layer Selection in VLM Vision Encoders
arXiv:2609.15229v1 Announce Type: cross Abstract: We propose a pre-fine-tuning probing method for Parameter-Efficient Fine-Tuning (PEFT) layer selection, aimin...
arXiv
ProtoGuide: Prototype-Driven Guidance for Class-Conditional Graph Generation
arXiv:2609.15239v1 Announce Type: cross Abstract: Discrete diffusion models are a prominent family for graph generation, but standard class-conditional mechani...
arXiv
Math for AI safety: an invitation for mathematicians
arXiv:2609.15289v1 Announce Type: cross Abstract: Artificial intelligence threatens to outrun human understanding and control. New mathematics is needed to des...
arXiv
When Correlations Mislead: Confounder-Aware Multi-View Urban Region Representation Learning
arXiv:2609.15305v1 Announce Type: cross Abstract: Urban region representation learning commonly combines heterogeneous data sources, such as mobility flows, po...
arXiv
The Universe of Universes: Benefit Yield Functions, Implosion Thresholds, and Infrastructure-Aware Optimization in Multi-LLM Systems
arXiv:2609.15314v1 Announce Type: cross Abstract: We introduce the Universe of Universes (UoU) framework, which treats the full ecosystem of major large langua...
arXiv
Clean Scores, Buried Evidence, and Confident Wrong: A Receipt-Based Audit of Frontier Agentic QA
arXiv:2609.15319v1 Announce Type: cross Abstract: Frontier models score well on shallow document/chart reading tasks. In a controlled data-room audit, moving e...
arXiv
Planning in the Backbone: DiffAdapterVLA for Native Continuous Trajectory Generation with Driving VLMs
arXiv:2609.15322v1 Announce Type: cross Abstract: Pretrained driving vision-language models (VLMs) integrate visual, route, language, and driving context into ...
arXiv
Concept-Grounded Reasoning with Prompt-Driven Localization for Interpretable Structured Report Generation
arXiv:2609.15334v1 Announce Type: cross Abstract: Medical imaging modalities such as ultrasound and X-ray are widely used in clinical practice, where diagnosis...
arXiv
Dynamic Semantic Compression for Efficient Latent-Space Inference in Large Language Models
arXiv:2609.15338v1 Announce Type: cross Abstract: Large Language Models (LLMs) primarily perform inference at the token level, resulting in substantial memory ...
arXiv
End-to-End Cell Detection via Instance-aware Graph Modeling
arXiv:2609.15354v1 Announce Type: cross Abstract: Accurate cell detection and classification are crucial for pathological analysis, directly affecting diagnost...
arXiv
Robust and Efficient Communication for Multi-Agent Learning
arXiv:2609.15361v1 Announce Type: cross Abstract: Effective communication is a cornerstone of distributed intelligence in Multi-Agent Reinforcement Learning (M...
arXiv
Divide, Consult, Conquer: Capability Laundering Through Aligned LLMs
arXiv:2609.15383v1 Announce Type: cross Abstract: Language model safety is typically evaluated one interaction at a time. We show that a weaker, unaligned mode...
arXiv
IWC-Bench: Evaluating Web Application Generation from a Software Testing Perspective
arXiv:2609.15387v1 Announce Type: cross Abstract: Human evaluation provides a direct measure of the quality of LLM-generated web applications. However, fitting...
arXiv
CodeTS: Verifiable Text-to-Time Series Generation via Executable Code
arXiv:2609.15393v1 Announce Type: cross Abstract: Text-to-Time Series Generation (Text-to-TS) provides a promising paradigm for synthesizing time series from n...
arXiv
A Conservative OCR-Enabled Workflow for R214 Sodium Screening of South African Packaged Foods
arXiv:2609.15427v2 Announce Type: cross Abstract: Using food package images to monitor sodium and salt content against South Africa's R214 sodium limits is cha...
arXiv
On the role of the tokenizer in ECG transformer models
arXiv:2609.15433v1 Announce Type: cross Abstract: Tokenization determines both the physiological content presented to an ECG Transformer and the sequence over ...
arXiv
Turkish MMLU Pro: Traceable Option Augmentation and Its Validity Limits in Turkish Multiple-Choice Evaluation
arXiv:2609.15467v1 Announce Type: cross Abstract: Adding answer options can lower multiple-choice scores without improving assessment validity. Turkish MMLU Pr...
arXiv
Spook the Machine: Gamified Exploration of Human Imagination of Machine Fear
arXiv:2609.15472v1 Announce Type: cross Abstract: What happens when AI machines express fear? Do humans engage differently depending on how they express it? An...
arXiv
How Lossless Is Lossless Speculative Decoding? The Role of Numerical Precision in Orthrus
arXiv:2609.15504v1 Announce Type: cross Abstract: Orthrus is a hybrid autoregressive-diffusion architecture that accelerates autoregressive language-model infe...
arXiv
Authorship attribution and aesthetic evaluation of AI poetry: a case study with Haiku
arXiv:2609.15511v1 Announce Type: cross Abstract: This paper investigates the generation and human evaluation of Japanese haiku by contemporary Large Language ...
arXiv
Automating Attack Graph Construction for Agentic Pentesting. Towards Neuro-Symbolic Vulnerability Hunting
arXiv:2609.15523v1 Announce Type: cross Abstract: Logic attack graphs grounded in scanner output provide explicit and auditable attack path reasoning LLM-based...
arXiv
The Misery of Mechanistic Interpretability: A Formal Perspective
arXiv:2609.15533v1 Announce Type: cross Abstract: Mechanistic interpretability has become the dominant lens for understanding frontier language models, as thei...
arXiv
Specifying Reward Functions for RL Without Environment Sampling
arXiv:2609.15544v1 Announce Type: cross Abstract: Enabling human stakeholders to specify reward functions that lead to their desired outcomes is a key challeng...
arXiv
Don't Count the Edits, Judge by the Outcome Alone: Reward-Based Evaluation for Grammatical Error Correction
arXiv:2609.15559v1 Announce Type: cross Abstract: Grammatical error correction (GEC) evaluation has traditionally relied on reference or edit overlap, which ca...
arXiv
PIVOT: Physics-Grounded Verification for AI-Generated Audio-Video Detection
arXiv:2609.15562v1 Announce Type: cross Abstract: As generative models continue to advance, AI-generated content (AIGC) is becoming increasingly realistic, wea...
arXiv
Big Brains and Changing Environments: Cause or Consequence?
arXiv:2609.15569v1 Announce Type: cross Abstract: Large brains are metabolically costly, and associations with changing environments do not imply they evolved ...
arXiv
Self-Evolving Memory for Generative Recommendation
arXiv:2609.15598v1 Announce Type: cross Abstract: Generative recommendation has emerged as a promising end-to-end paradigm for personalized recommendation. How...
arXiv
A Unified Vision-Language Model for PSMA PET/CT Report Generation, Visual Question Answering, and Lesion Segmentation
arXiv:2609.15603v1 Announce Type: cross Abstract: Accurate PSMA PET/CT interpretation is central to prostate cancer management, yet existing PET/CT AI models t...
arXiv
VideoScout: Learning Agentic Active Exploration with Adaptive Reasoning Pacing for Long Video Understanding
arXiv:2609.15606v1 Announce Type: cross Abstract: Multimodal Large Language Models (MLLMs) have achieved remarkable progress on short video understanding yet r...
arXiv
Through the Eyes of the Beholder: Biometric and Demographic Conditioning for Multimodal Sexism Detection
arXiv:2609.15608v1 Announce Type: cross Abstract: Detecting sexism on the internet is a fundamentally subjective task; our team, VANGUARD, addresses this chall...
arXiv
Multi-View Molecular Representation Learning with Hierarchical Graphs and Contextualized Fingerprints
arXiv:2609.15611v1 Announce Type: cross Abstract: Molecular property prediction requires representations that generalize from limited labeled data to structura...
arXiv
Beyond AI Literacy: A Structured Review and Exploratory Meta-Analysis of Measures for Competent Generative-AI Use
arXiv:2609.15624v1 Announce Type: cross Abstract: Researchers assessing competent generative-AI use at work must choose among self-reports, objective tests, an...
arXiv
FedLTLib: A Comprehensive Benchmark for Federated Long-Tail Learning
arXiv:2609.15625v1 Announce Type: cross Abstract: Driven by the escalating demand for privacy-preserving computing, Federated Learning (FL) has witnessed remar...
arXiv
ModaLens: Measuring Image Sensitivity in Report-Conditioned Medical VLMs
arXiv:2609.15635v1 Announce Type: cross Abstract: A radiology report can already answer a clinical question, so it is hard to tell whether a vision-language mo...
arXiv
Predictive Likelihood Ratios for Language Model Watermark Detection
arXiv:2609.15657v1 Announce Type: cross Abstract: Keyed watermark detection tests dependence between observed tokens and pseudorandom variables reconstructed f...
arXiv
KaiNinja: Extending Native 3D Generators to the Part Level
arXiv:2609.15659v2 Announce Type: cross Abstract: Native 3D generators turn one image into a single mesh. TRELLIS.2 and its peers deliver high-fidelity non-wat...
arXiv
CIDERS: Cloud-Edge LLM Collaborative Learning via Accelerating Personalized Bilevel Optimization
arXiv:2609.15664v1 Announce Type: cross Abstract: Amid the rapid advancement of physical-world intelligence, cloud-edge collaborative large language models (LL...
arXiv
Circuit-MLLM: Topological Logic-Guided Latent-Space Visual Reasoning for Circuit Schematic Understanding
arXiv:2609.15668v1 Announce Type: cross Abstract: Through pre-training on extensive text and image datasets, current multi-modal large language models (MLLMs) ...
arXiv
Benchmarking Intra-Patient 3D Deformable Multimodal Image Registration
arXiv:2609.15669v1 Announce Type: cross Abstract: Multimodal image registration is a key component of many clinical workflows, yet it remains challenging becau...
arXiv
Don't Send What You Don't Need: Question-Guided Token Pruning as a Privacy Defense for Vision-Language Models
arXiv:2609.15671v1 Announce Type: cross Abstract: Visual Question Answering (VQA) with Vision-Language Models (VLMs) is increasingly used in privacy-sensitive ...
arXiv
Scalability and Performance Evaluation of Federated Learning Frameworks: A Comparative Analysis
arXiv:2609.15681v1 Announce Type: cross Abstract: This paper presents a systematic examination and experimental comparison of the prominent Federated Learning ...
arXiv
More Than Just Access: Generative AI as Communication Intermediary for Blind and Low-Vision Users
arXiv:2609.15696v1 Announce Type: cross Abstract: Generative AI (GenAI) tools are increasingly woven into how blind and low-vision (BLV) people communicate, no...
arXiv
Bench2Dex: Benchmarking Visuo-Tactile Bimanual Dexterous Manipulation Across Dexterous Hands
arXiv:2609.15726v1 Announce Type: cross Abstract: Tactile sensing provides contact information that can be difficult to infer from vision alone, but tactile ha...
arXiv
A Language-Guided Multimodal Foundation Model for Zero-Shot and Multi-Task Brain Signal Analysis
arXiv:2609.15740v1 Announce Type: cross Abstract: Brain signal analysis is essential for both neuroscience research and clinical diagnostics, yet current appro...
arXiv
Look Before You Leap: Factual Decoding with Internal Attribution Signals
arXiv:2609.15745v1 Announce Type: cross Abstract: Hallucination remains a critical challenge in large language models (LLMs), where early factual errors compou...
arXiv
Sylvas: Synergistic Learning Value based Device Scheduling in Federated Continual Learning
arXiv:2609.15763v1 Announce Type: cross Abstract: Federated continual learning (FCL) enables shared global models to continuously adapt to distributed and non-...
arXiv
Event-Native Symbolic-Temporal Spike Encoding Framework for Heterogeneous Cyber Streams
arXiv:2609.15772v1 Announce Type: cross Abstract: Spiking neural networks (SNNs) have shown promise for sparse, event-driven computation through stateful proce...
arXiv
Transfer Learning for Socioeconomic Estimation in Forced-Displacement Settings
arXiv:2609.15773v1 Announce Type: cross Abstract: Progress in inclusive household surveys has strengthened socioeconomic evidence for forcibly displaced popula...
arXiv
When the World Lies: Backdoor Attacks on Latent World Models for Downstream Control
arXiv:2609.15781v1 Announce Type: cross Abstract: Pretrained world models, learned simulators that encode an observation into a latent state and predict how it...
arXiv
Delegating Authorization to Misaligned Agents: Coalitional Alignment and Safe Control
arXiv:2609.15803v1 Announce Type: cross Abstract: Long-running AI agents create a control problem: each action they take changes the state, which in turn affec...
arXiv
CiteGuard-RAG: A Validation-Centered AI System for Evidence-Grounded Question Answering
arXiv:2609.15830v1 Announce Type: cross Abstract: Retrieval-augmented generation (RAG) can improve access to complex information; however, retrieving evidence ...
arXiv
Per-Matrix Optimality Is Not Enough: Three-Level Optimization for Low-Rank LLM Compression
arXiv:2609.15838v1 Announce Type: cross Abstract: Per-matrix singular value decomposition (SVD) truncation is Eckart-Young optimal in the whitened Frobenius no...
arXiv
Before You Poll with LLMs: A Deliberative Diagnostic Framework
arXiv:2609.15849v1 Announce Type: cross Abstract: Can LLMs reason through new information like humans, or do they merely retrieve cached opinions? This is crit...
arXiv
K-Bench: a clinically calibrated benchmark for evaluating large language models in high-risk mental health conversations
arXiv:2609.15855v2 Announce Type: cross Abstract: People increasingly use large language models (LLMs) for mental health support, yet their safety in evolving,...
arXiv
LLM-Based Schema-Aware Split Learning for Privacy-Preserving Mental Distress Prediction Across Heterogeneous Surveys
arXiv:2609.15871v1 Announce Type: cross Abstract: Rising societal and lifestyle complexity has been linked to a growing prevalence of mental distress worldwide...
arXiv
Learning Multimodal One-step Flow Policy via Value-weighted Optimal Transport
arXiv:2609.15883v1 Announce Type: cross Abstract: Offline reinforcement learning aims to learn a policy solely from fixed datasets, which often contain multimo...
arXiv
Privacy-enhanced federated learning via asynchronous aggregation and local differential perturbation
arXiv:2609.15885v1 Announce Type: cross Abstract: This study proposes a privacy-enhanced federated learning framework to address secure collaborative training ...
arXiv
Anatomical Grounding and Leakage-Aware Multimodal Contrastive Learning for Alzheimer's Disease Classification from Structural MRI
arXiv:2609.15888v1 Announce Type: cross Abstract: Deep networks trained on structural MRI for Alzheimer's disease (AD) staging often reach reasonable accuracy ...
arXiv
SlipSense: Multimodal Tactile Learning for Low-Latency and Generalized Slip Detection
arXiv:2609.15910v1 Announce Type: cross Abstract: Slip detection is fundamental to dexterous manipulation, yet existing systems often lack precise characteriza...
arXiv
Vulnerability Localization Benchmark: Measuring Agentic Security Analysis at Repository Scale
arXiv:2609.15939v1 Announce Type: cross Abstract: Language-model agents increasingly operate over complete software repositories, yet cybersecurity evaluations...
arXiv
The Router Within: Eliciting Native Skill Routing from a Frozen LLM
arXiv:2609.15982v1 Announce Type: cross Abstract: Skills extend an LLM agent beyond its parametric knowledge, and the gain they promise rests on picking the ri...
arXiv
Estimating Uncertain Spatial Relationships in Robotics
arXiv:1304.3111v2 Announce Type: replace Abstract: In this paper, we describe a representation for spatial information, called the stochastic map, and associat...
arXiv
FICAug: Feature-Informed Clustering and Augmentation for Facial-Expression-Based Parkinson's Disease Screening
arXiv:2409.17685v3 Announce Type: replace Abstract: Hypomimia has drawn growing interest as a digital marker for screening Parkinson's disease (PD). However, d...
arXiv
Hallucination in Multimodal Foundation Models: A Survey on Causes, Corrections, and Evaluations
arXiv:2410.15359v2 Announce Type: replace Abstract: Multimodal Foundation Models represent a significant leap in artificial intelligence. Among them, Large Vis...
arXiv
Efficient On-Device Agents via Adaptive Context Management
arXiv:2511.03728v2 Announce Type: replace Abstract: On-device AI agents offer the potential for personalized, low-latency assistance, but their deployment is f...
arXiv
DeepFeature: LLM-Empowered Context-aware Feature Generation for Wearable Biosignals
arXiv:2512.08379v3 Announce Type: replace Abstract: Biosignals collected from wearable devices are widely utilized in healthcare applications. Machine learning...
arXiv
Privileged observations enable rapid and reliable policy discovery directly in the physical world
arXiv:2512.08463v2 Announce Type: replace Abstract: We study how privileged information about a physical system affects the discovery of high-performing polici...
arXiv
Echo-CoPilot: A Multiple-Perspective Agentic Framework for Reliable Echocardiography Interpretation
arXiv:2512.09944v4 Announce Type: replace Abstract: Echocardiography interpretation requires integrating multi-view temporal evidence with quantitative measure...
arXiv
MCPAgentBench: A Real-world Task Benchmark for Evaluating LLM Agent MCP Tool Use
arXiv:2512.24565v4 Announce Type: replace Abstract: Large Language Models (LLMs) are increasingly serving as autonomous agents, and their utilization of extern...
arXiv
ClinicalReTrial: Clinical Trial Redesign with Self-Evolving Agents
arXiv:2601.00290v3 Announce Type: replace Abstract: Clinical trials constitute a critical yet exceptionally challenging and costly stage of drug development (\...
arXiv
Towards a Mechanistic Understanding of Propositional Logical Reasoning in Large Language Models
arXiv:2601.04260v2 Announce Type: replace Abstract: Understanding how Large Language Models (LLMs) perform logical reasoning internally remains a fundamental c...
arXiv
Modality-Guided Mixture of Structured Experts with Entropy-Triggered Routing for Multimodal Recommendation
arXiv:2602.20723v3 Announce Type: replace Abstract: Multimodal recommenders combine collaborative behavior with visual and textual item evidence, whose usefuln...
arXiv
Tool Use Reduces Depth-Induced Collapse in OOD Reasoning
arXiv:2602.21061v2 Announce Type: replace Abstract: Many current paths to more advanced AI depend on the assumption that large language models (LLMs) can gener...
arXiv
NeuroProlog: Multi-Task Fine-Tuning for Neurosymbolic Mathematical Reasoning via the Cocktail Effect
arXiv:2603.02504v3 Announce Type: replace Abstract: Large Language Models (LLMs) achieve strong performance on natural language tasks but remain unreliable in ...
arXiv
TimeWarp: Evaluating Web Agents by Revisiting the Past
arXiv:2603.04949v3 Announce Type: replace Abstract: As web agents close the gap with humans on benchmarks, one question arises: Do today's agents perform just ...
arXiv
From Refusal Tokens to Refusal Control: Discovering and Steering Category-Specific Refusal Directions
arXiv:2603.13359v2 Announce Type: replace Abstract: Language models are commonly fine-tuned for safety alignment to refuse harmful prompts. One approach fine-t...
arXiv
vla-eval: A Unified Evaluation Harness for Vision-Language-Action Models
arXiv:2603.13966v3 Announce Type: replace Abstract: Vision-Language-Action (VLA) models are increasingly evaluated across multiple simulation benchmarks, yet a...
arXiv
ZEBRAARENA: A Diagnostic Simulation Environment for Studying Reasoning-Action Coupling in Tool-Augmented LLMs
arXiv:2603.18614v2 Announce Type: replace Abstract: Tool-augmented large language models (LLMs) must tightly couple multi-step reasoning with external actions,...
arXiv
Ventriloquist LLMs: Linear Alignment of Late-Stage Representations
arXiv:2603.18908v5 Announce Type: replace Abstract: Independently trained language models often learn compatible late-stage representations, despite difference...
arXiv
Utility-Guided Agent Orchestration for Efficient LLM Tool Use
arXiv:2603.19896v2 Announce Type: replace Abstract: Tool-using large language model (LLM) agents often face a fundamental tension between answer quality and ex...
arXiv
MARCUS: An agentic, multimodal vision-language model for cardiac diagnosis and management
arXiv:2603.22179v2 Announce Type: replace Abstract: Cardiovascular disease remains the leading cause of global mortality, with progress hindered by human inter...
arXiv
Mecha-nudges for Machines
arXiv:2603.23433v4 Announce Type: replace Abstract: AI agents are becoming active decision-makers on the Internet. As they make decisions in the same environme...
arXiv
Auditable Agents
arXiv:2604.05485v3 Announce Type: replace Abstract: LLM agents call tools, query databases, delegate tasks, and trigger external side effects. Once an agent sy...
arXiv
CLEAR: Context Augmentation from Contrastive Learning of Experience via Agentic Reflection
arXiv:2604.07487v2 Announce Type: replace Abstract: Large language model agents rely on effective model context to obtain task-relevant information for decisio...
arXiv
Multi-Agent Empowerment and Emergence of Complex Behavior in Groups
arXiv:2604.21155v2 Announce Type: replace Abstract: Intrinsic motivations are receiving increasing attention, i.e. behavioral incentives that are not engineere...
arXiv
Iterative Multimodal Retrieval-Augmented Generation for Medical Question Answering
arXiv:2604.27724v2 Announce Type: replace Abstract: Medical retrieval-augmented generation (RAG) systems typically operate on text chunks extracted from biomed...
arXiv
Valley3: Scaling Omni Foundation Models for E-commerce
arXiv:2605.01278v3 Announce Type: replace Abstract: In this work, we present Valley3, an omni multimodal large language model (MLLM) developed for diverse glob...
arXiv
Post-Reasoning: Improving the Performance of Non-Thinking Models at No Cost
arXiv:2605.06165v2 Announce Type: replace Abstract: As the widespread adoption of Large Language Models (LLMs) accelerates, token consumption from intermediate...
arXiv
Personality engineering with AI agents: A new methodology for negotiation research
arXiv:2605.20554v2 Announce Type: replace Abstract: According to canonical negotiation theory, people's success in a negotiation depends on how well they balan...
arXiv
Playing Devil's Advocate: Off-the-Shelf Persona Vectors Rival Targeted Steering for Sycophancy
arXiv:2605.21006v3 Announce Type: replace Abstract: Sycophancy is the tendency of language models to agree with users irrespective of correctness. Prior work h...
arXiv
Counteraction-Aware Multi-Teacher On-Policy Distillation for General Capability Recovery with Domain Preservation
arXiv:2605.27115v2 Announce Type: replace Abstract: Domain specialization can improve LLM behavior, but often weakens the general capabilities inherited from t...
arXiv
FundaPod: A Multi-Persona Agent Pod Architecture with Knowledge Graph Memory for AI-Assisted Fundamental Investment Research
arXiv:2605.27864v5 Announce Type: replace Abstract: Large language models (LLMs) are increasingly applied in finance, yet most existing work emphasizes trading...
arXiv
PortBench: A Correlation-Aware, Full-Pipeline Benchmark for LLM-Driven Portfolio Management
arXiv:2605.27887v5 Announce Type: replace Abstract: Large language models (LLMs) have shown strong performance across diverse financial tasks, yet portfolio ma...
arXiv
The Theory of Mind Utility: A Formal Account of Mentalizing
arXiv:2606.12721v3 Announce Type: replace Abstract: Inferring another person's beliefs requires reconstructing their information access history: what they enco...
arXiv
WISE: A Long-Horizon Agent in Minecraft with Why-Which Reasoning
arXiv:2606.12852v2 Announce Type: replace Abstract: Rapid advances have been made in developing general-purpose embodied agent in environments like Minecraft t...
arXiv
FinAcumen: Financial Multimodal Reasoning via Self-Evolving Experience Memory Harness
arXiv:2606.17642v5 Announce Type: replace Abstract: Financial multimodal reasoning requires agents to coordinate numerical computation, retrieval, visual inter...
arXiv
Data Scale, Not Latency, Shapes Cross-Lingual Encoder Transfer in Streaming ASR
arXiv:2606.24169v2 Announce Type: replace Abstract: Adapting a streaming speech recognition model to a new language requires choosing between two plausible war...
arXiv
Humans Disengage, Reasoning Models Persist: Separating Difficulty Registration from Deliberation Allocation
arXiv:2606.26502v5 Announce Type: replace Abstract: Large reasoning models (LRMs) tend to produce longer reasoning traces on problems that also take humans lon...
arXiv
CLQT: A Closed-Loop, Cost-Aware, Strategy-Consistent Benchmark for Diagnostic Evaluation of LLM Portfolio-Management Agents
arXiv:2606.29771v3 Announce Type: replace Abstract: LLM agents are increasingly cast as autonomous portfolio managers, yet the dominant evaluation idiom, a lea...
arXiv
Spatial Reasoning via Modality Switching Between Language and Symbolic Representations
arXiv:2606.31285v3 Announce Type: replace Abstract: Human reasoning is inherently multimodal: when problems become difficult, we rarely think in words alone. W...
arXiv
SportD: How do VLMs physically strategize?
arXiv:2607.14616v5 Announce Type: replace Abstract: Vision-language models (VLMs) can describe a scene, but can they act well within one? We study whether VLMs...
arXiv
Design and Embedded Validation of Compact ML Models for Affective Touch Classification in a Soft Interactive Companion
arXiv:2607.16196v2 Announce Type: replace Abstract: Soft plush companions provide a safe and intuitive platform for affective human-robot interaction, but thei...
arXiv
TRACTA: Benchmarking Temporal Reasoning over Semantic Trajectories
arXiv:2607.22365v2 Announce Type: replace Abstract: High-complexity operational environments require methods that characterize temporally distributed patterns ...
arXiv
Evolving from Lessons: Skill-Augmented Table Graph Reasoning for Operation-wise Table Question Answering
arXiv:2607.22633v2 Announce Type: replace Abstract: Table Question Answering (TableQA) aims to reason over tables to answer user queries. Existing research tre...
arXiv
Hidden APIs in Language Models: Discovering Reusable Causal Interfaces from Forked Futures
arXiv:2607.27617v2 Announce Type: replace Abstract: Identical language-model answers can arise from hidden states that support different future computations, s...
arXiv
Whetstones: Measuring Coevolution Between Adaptive Malware and Behavioral Defense
arXiv:2608.00745v3 Announce Type: replace Abstract: The literature on self-adapting malware is open-loop: adaptation is evaluated against static detectors in s...
arXiv
Modeling Social Dynamics with an LLM-Enabled Agent Based Network-Dynamic (LAND) Model
arXiv:2608.00929v2 Announce Type: replace Abstract: Social dynamics encode the process in which individual network and discourse interactions aggregate into co...
arXiv
Self-Certification of Representation Adequacy: Sequential Certification at Minimum Task Loss
arXiv:2608.02267v2 Announce Type: replace Abstract: Agents that act on a compressed representation of their history face a structural risk: if the representati...
arXiv
ChartAnno: Benchmarking Multimodal Large Language Models for Chart Annotation Generation
arXiv:2608.03464v2 Announce Type: replace Abstract: Annotations are essential to communicative visualization, helping explain data, emphasize key findings, and...
arXiv
Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation
arXiv:2608.05418v2 Announce Type: replace Abstract: AI tools are being increasingly adopted in policing in the UK and worldwide. Racial bias is a known and wel...
arXiv
An Explainable GNN Framework for Component-Level Anomaly Diagnosis
arXiv:2608.09246v2 Announce Type: replace Abstract: Industrial processes are complex systems composed of multiple interacting sensors that generate multivariat...
arXiv
Hierarchical Compositionality for An Assistive AI Agent
arXiv:2608.10330v3 Announce Type: replace Abstract: AI agents are increasingly being developed to assist humans in various applications, and Large Language Mod...
arXiv
Measuring Cross-Task Behavioral Consistency in Language Model Agents
arXiv:2608.13598v2 Announce Type: replace Abstract: Agent evaluation relies almost entirely on outcome metrics such as success rate, which capture whether an a...
arXiv
Development and Feasibility Evaluation of an Edge AI as Medical Device System for Breast Cancer Multidisciplinary Team Meetings
arXiv:2608.22108v2 Announce Type: replace Abstract: Breast Cancer Multidisciplinary Team (MDT) meetings manage increasingly complex cases under considerable ti...
arXiv
Autonomous Mathematical Discovery in an Open-World Multi-Agent Environment
arXiv:2608.23691v2 Announce Type: replace Abstract: We study autonomous mathematical discovery in the Station, an open-world multi-agent environment in which A...
arXiv
A Contract-Centered Architecture for Scalable and Manageable Agentic Runtimes
arXiv:2608.27086v2 Announce Type: replace Abstract: Enterprise agentic systems must coordinate changing capabilities, execution capacity, and independently gov...
arXiv
Responsible Integration of AI in Cancer Genomics: Barriers, Risks, and Pathways to Trustworthy Clinical Translation
arXiv:2608.30912v2 Announce Type: replace Abstract: Artificial intelligence (AI) and natural language processing (NLP) are increasingly used to extract, integr...
arXiv
Reconciling Process Supervision with Outcome-Based Credit in Agentic Policy Optimization
arXiv:2608.31077v2 Announce Type: replace Abstract: Outcome-based reinforcement learning provides verified feedback for language-model agents, but assigns traj...
arXiv
Verifiable Disaster Storylines and Causal Knowledge Graphs: A Citation-Grounded Pipeline from Heterogeneous Humanitarian Sources
arXiv:2609.00858v2 Announce Type: replace Abstract: Effective humanitarian response depends on the rapid synthesis of heterogeneous, high-volume information so...
arXiv
Bioinfoysis Technical Report
arXiv:2609.03871v2 Announce Type: replace Abstract: Large language model agents have shown promise in bioinformatics, but most existing systems focus primarily...
arXiv
HarvestBench: Measuring Whether LLM Agents Will Pay to Avoid Killing Animals
arXiv:2609.04444v3 Announce Type: replace Abstract: HarvestBench is the first benchmark to 1) put a price on avoiding a side effect and 2) name the side effect...
arXiv
The Normalization of Deviance in AI Development
arXiv:2609.05749v2 Announce Type: replace Abstract: Work on the risks of artificial intelligence has focused predominantly on capability risk: the danger that ...
arXiv
CIT-CAD: Constraint Intent Tree-based CAD Code Generation and Verification
arXiv:2609.07434v2 Announce Type: replace Abstract: Natural-language Computer-Aided Design (CAD) code generation aims to turn design intent into executable and...
arXiv
FrogNano: Training a 4B Coding Agent via Online Task Synthesis
arXiv:2609.07925v3 Announce Type: replace Abstract: We present FrogNano, a 4B coding agent designed to tackle software engineering (SWE) tasks efficiently and ...
arXiv
From Event Logs to Governed Action: A BlueSky Agenda for Agentic Process Mining
arXiv:2609.07984v2 Announce Type: replace Abstract: Process mining has long turned event logs into process knowledge: discovered models, conformance evidence, ...
arXiv
Beyond Coherence: Benchmarking Professional Editing-Technique Execution in Multi-Shot Audio-Video Generation
arXiv:2609.08275v2 Announce Type: replace Abstract: Recent multi-shot audio-video generators can produce increasingly coherent and cinematic outputs, but coher...
arXiv
Valerant: An Automatic Navigable Game Map Generator via Action-Conditioned World Model Exploration
arXiv:2609.09418v2 Announce Type: replace Abstract: World Action Models (WAMs) couple predictive world modeling with action generation, allowing anticipated fu...
arXiv
Benchmark Radar: A Living Database and Search Engine for AI Benchmarks and Evaluation
arXiv:2609.11115v2 Announce Type: replace Abstract: Benchmark researchers and developers of large language models (LLMs) and other AI systems need to find rele...
arXiv
From Explanations to Interventions: Execution-Guided Counterfactual Synthesis in Temporal Graphs
arXiv:2609.11170v2 Announce Type: replace Abstract: Can a trace explaining model execution also compute the changes needed for a specified alternative predicti...
arXiv
SemVerBench: Benchmarking LLM Comprehension of Version-Constraint Resolution Semantics
arXiv:2609.11180v2 Announce Type: replace Abstract: Large language model (LLM) coding agents constantly decide whether a version satisfies a constraint such as...
arXiv
A Voice-Interactive Multi-Agent System for Smart Operating Rooms: Architecture Design and Key Technologies
arXiv:2609.11231v2 Announce Type: replace Abstract: This paper presents SurgicalRoomAgent, a voice-interactive multi-agent system for smart operating rooms bas...
arXiv
BlueLM-GUI Technical Report: A Real-Device-Centric Flywheel for Self-Improving Mobile GUI Agents
arXiv:2609.12394v3 Announce Type: replace Abstract: Mobile GUI agents are shifting from multi-module frameworks to native models trained end-to-end, yet indust...
arXiv
Beyond Generation and Accuracy: Diagnosing and Enhancing Visual Chain-of-Thought for Geometry Problem Solving
arXiv:2609.12606v2 Announce Type: replace Abstract: While multimodal reasoning has advanced rapidly, solving complex geometry problems critically hinges on act...
arXiv
K-Bench: A Benchmark for LLM Unlearning in Agentic Deployments
arXiv:2609.12808v2 Announce Type: replace Abstract: Unlearning benchmarks such as TOFU and MUSE certify forgetting by reading the model's final answer, where a...
arXiv
SynGhost: Invisible and Universal Task-agnostic Backdoor Attack via Syntactic Transfer
arXiv:2402.18945v5 Announce Type: replace-cross Abstract: Although pre-training achieves remarkable performance, it suffers from task-agnostic backdoor attacks...
arXiv
Zonal RL-RRT: Integrated RL-RRT Path Planning with Collision Probability and Zone Connectivity
arXiv:2410.24205v2 Announce Type: replace-cross Abstract: Path planning in complex environments poses significant challenges, particularly in achieving time ef...
arXiv
CHAI for LLMs: Improving Code-Mixed Translation in Large Language Models through Reinforcement Learning with AI Feedback
arXiv:2411.09073v4 Announce Type: replace-cross Abstract: Large language models (LLMs) show strong performance across many tasks but remain weak at understandi...
arXiv
From Voice to Value: Leveraging AI to Enhance Spoken Online Reviews on the Go
arXiv:2412.05445v3 Announce Type: replace-cross Abstract: Online reviews help people make better decisions. Review platforms usually depend on typed input, whe...
arXiv
Balancing Global Quality and Pronoun-Specific Feedback for Context-Aware Machine Translation
arXiv:2501.03008v2 Announce Type: replace-cross Abstract: Context-aware machine translation can expose the evidence needed for pronoun choice, but standard fin...
arXiv
EventVL: Understand Event Streams via Multimodal Large Language Model
arXiv:2501.13707v3 Announce Type: replace-cross Abstract: The event-based Vision-Language Model (VLM) recently has made good progress for practical vision task...
arXiv
Towards Unified Approaches in Self-Supervised Event Stream Modeling: Progress and Prospects
arXiv:2502.04899v4 Announce Type: replace-cross Abstract: The proliferation of digital interactions across diverse domains, such as healthcare, e-commerce, gam...
arXiv
LLM-Microscope: Uncovering the Hidden Role of Punctuation in Context Memory of Transformers
arXiv:2502.15007v2 Announce Type: replace-cross Abstract: We introduce methods to quantify how Large Language Models (LLMs) encode and store contextual informa...
arXiv
Sanity Checking Causal Representation Learning on a Simple Real-World System
arXiv:2502.20099v3 Announce Type: replace-cross Abstract: We evaluate methods for causal representation learning (CRL) on a simple, real-world system that sati...
arXiv
L-Lipschitz Gershgorin ResNet Network
arXiv:2502.21279v2 Announce Type: replace-cross Abstract: Deep residual networks (ResNets) have demonstrated outstanding success in computer vision tasks, attr...
arXiv
BGM2Pose: Active 3D Human Pose Estimation with Non-Stationary Sounds
arXiv:2503.00389v2 Announce Type: replace-cross Abstract: We propose BGM2Pose, a non-invasive 3D human pose estimation method using arbitrary music (e.g., back...
arXiv
Lost-in-the-Middle in Long-Text Generation: Synthetic Dataset, Evaluation Framework, and Mitigation
arXiv:2503.06868v2 Announce Type: replace-cross Abstract: Existing long-text generation methods produce lengthy outputs from short inputs, leaving long-input-t...
arXiv
Generative Learner for Distributional Causal Effects
arXiv:2503.17894v4 Announce Type: replace-cross Abstract: We propose a generative learner for estimating conditional average treatment effects and characterizi...
arXiv
ModiGen: A Large Language Model-Based Workflow for Multi-Task Modelica Code Generation
arXiv:2503.18460v2 Announce Type: replace-cross Abstract: Modelica is a widely adopted language for simulating complex physical systems, yet effective model cr...
arXiv
WaveHiTS: Wavelet-Enhanced Hierarchical Time Series Modeling for Wind Direction Nowcasting in Eastern Inner Mongolia
arXiv:2504.06532v2 Announce Type: replace-cross Abstract: Wind direction forecasting plays a crucial role in optimizing wind energy production, but faces signi...
arXiv
Are explainable AI (XAI) evaluation strategies aligned? Comparing subjective, objective, and mathematical evaluation measures using saliency maps
arXiv:2504.17023v2 Announce Type: replace-cross Abstract: The evaluation of explainable AI (XAI) approaches often relies on three families of methods: subjecti...
arXiv
JSolver: Joint Spectrum Estimation and Multi-Material Decomposition from Single-Energy CT Projections
arXiv:2505.08123v2 Announce Type: replace-cross Abstract: Multi-material decomposition (MMD) enables quantitative reconstruction of tissue compositions in the ...
arXiv
Dissociating performance from compositional feature learning
arXiv:2505.09716v3 Announce Type: replace-cross Abstract: Out-of-distribution (OOD) generalisation is considered a hallmark of human and animal intelligence. T...
arXiv
Unraveling the iterative CHAD
arXiv:2505.15002v3 Announce Type: replace-cross Abstract: Combinatory Homomorphic Automatic Differentiation (CHAD) was originally formulated as a semantics-dri...
arXiv
Tensorization is a powerful but underexplored tool for compression and interpretability of neural networks
arXiv:2505.20132v2 Announce Type: replace-cross Abstract: Tensorizing a neural network involves reshaping some or all of its dense weight matrices into higher-...
arXiv
Discovering Hierarchy-Grounded Domains with Adaptive Granularity for Clinical Domain Generalization
arXiv:2506.06977v4 Announce Type: replace-cross Abstract: Domain generalization has become a critical challenge in predictive healthcare, where different patie...
arXiv
LLM Probability Concentration: How Alignment Shrinks the Generative Horizon
arXiv:2506.17871v4 Announce Type: replace-cross Abstract: Despite their impressive capabilities, aligned large language models (LLMs) often generate outputs th...
arXiv
Can Interpretation Predict Behavior on Unseen Data?
arXiv:2507.06445v4 Announce Type: replace-cross Abstract: Interpretability research often predicts model responses to targeted mechanistic interventions. But c...
arXiv
Data Security in Large Language Models: Risks, Defense, and Directions
arXiv:2508.02312v2 Announce Type: replace-cross Abstract: Large Language Models (LLMs), now a foundation in advancing natural language processing, power applic...
arXiv
Perceptual Reality Transformer: What Must an Illustration Preserve?
arXiv:2508.09852v2 Announce Type: replace-cross Abstract: How can models help people communicate unusual perceptual experiences without changing what they mean...
arXiv
Access Paths for Efficient Ordering with Large Language Models
arXiv:2509.00303v4 Announce Type: replace-cross Abstract: In this work, we present the \texttt{LLM ORDER BY} semantic operator as a logical abstraction and con...
arXiv
Exploring the Potential of Diffusion Large Language Models in Code Generation
arXiv:2509.11252v3 Announce Type: replace-cross Abstract: LLMs have become the mainstream approaches to code generation. Existing LLMs mainly employ autoregres...
arXiv
Tackling GNARLy Problems: Graph Neural Algorithmic Reasoning Reimagined through Reinforcement Learning
arXiv:2509.18930v4 Announce Type: replace-cross Abstract: Neural algorithmic reasoning (NAR) is a paradigm that trains neural networks to execute classic algor...
arXiv
Uncertainty-Aware Calibrated Clinical Text Classification with Large Language Models
arXiv:2509.19375v2 Announce Type: replace-cross Abstract: Large language models are increasingly used for clinical text classification, where overconfident mis...
arXiv
Concertina: Data-Centric Adaptive Pipeline Parallelism for Efficient Heterogeneous Long-Context LLM Training
arXiv:2509.21275v5 Announce Type: replace-cross Abstract: Long context training is crucial for extending LLM context windows. Existing schemes, such as sequenc...
arXiv
IsingFormer: Augmenting Parallel Tempering With Learned Proposals
arXiv:2509.23043v2 Announce Type: replace-cross Abstract: Generative models have been extensively used to accelerate MCMC mixing for sampling and optimization,...
arXiv
Generalized Correctness Models: Learning Calibrated and Model-Agnostic Correctness Predictors from Historical Patterns
arXiv:2509.24988v2 Announce Type: replace-cross Abstract: Generating accurate and calibrated confidence estimates is critical for deploying LLMs in high-stakes...
arXiv
TOPO-Bench: An Open-Source Topological Mapping Evaluation Framework with Quantifiable Perceptual Aliasing
arXiv:2510.04100v3 Announce Type: replace-cross Abstract: Topological mapping offers a compact and robust representation for navigation, but progress in the fi...
arXiv
CapGeo-Bench: Decoupling Visual Perception from Reasoning and Evaluating Geometric Understanding
arXiv:2510.09302v2 Announce Type: replace-cross Abstract: While Multimodal Large Language Models (MLLMs) have achieved remarkable success in difficult purely t...
arXiv
ParsVoice: A Large-Scale Multi-Speaker Persian Speech Corpus for Text-to-Speech Synthesis
arXiv:2510.10774v4 Announce Type: replace-cross Abstract: Persian remains substantially underrepresented in open speech-text resources, limiting progress in mu...
arXiv
Interpretable Recognition of Cognitive Distortions in Natural Language Texts
arXiv:2511.05969v3 Announce Type: replace-cross Abstract: We propose a new approach to multi-factor classification of natural language texts based on weighted ...
arXiv
Mesh-based Super-resolution of Multiscale Detonation Flows with Graph Transformers
arXiv:2511.12041v4 Announce Type: replace-cross Abstract: Super-resolution flow reconstruction using state-of-the-art data-driven techniques is valuable for a ...
arXiv
Freeze, Share, Shrink: Rethinking the Action Backbone in Diffusion Policies
arXiv:2511.12101v3 Announce Type: replace-cross Abstract: Many recent Vision-Language-Action models employ diffusion or flow-matching backbones with hundreds o...
arXiv
Donors and Recipients: On Asymmetric Transfer Across Tasks and Languages with Parameter-Efficient Fine-Tuning
arXiv:2511.13368v3 Announce Type: replace-cross Abstract: Large language models (LLMs) perform strongly across tasks and languages, yet how improvements in one...
arXiv
Can We Stop Malicious AI? KILLBENCH: A Benchmark for External AI Kill Switch Feasibility
arXiv:2511.13725v5 Announce Type: replace-cross Abstract: Malicious AI causing harm to humans is not just a Hollywood fantasy. Indeed, as highly capable models...
arXiv
MedSAM3: Delving into Segment Anything with Medical Concepts
arXiv:2511.19046v2 Announce Type: replace-cross Abstract: Medical image segmentation is fundamental for biomedical discovery. Existing methods lack generalizab...
arXiv
DuoTok: Source-Aware Dual-Track Music Tokenization for Vocal-Accompaniment Generation
arXiv:2511.20224v3 Announce Type: replace-cross Abstract: Multi-track music generation requires tokens that preserve acoustic fidelity, support sequence modeli...
arXiv
Understanding the Effects of Distractors on Reasoning Vision-Language Models
arXiv:2511.21397v3 Announce Type: replace-cross Abstract: How does irrelevant information (i.e., distractors) affect test-time scaling in vision-language model...
arXiv
How Semantically Stable Are LLM Refusals? Measuring Confusion in Local Safety Boundaries
arXiv:2512.01037v3 Announce Type: replace-cross Abstract: As safety alignment becomes standard in large language models, refusal behavior has become an importa...
arXiv
Enhancing Large Language Model-Based Systems for End-to-End Circuit Analysis Problem Solving
arXiv:2512.10159v3 Announce Type: replace-cross Abstract: LLMs have shown strong performance in data-rich domains such as programming, but their reliability in...
arXiv
Focus on What Matters: Fisher-Guided Adaptive Multimodal Fusion for Vulnerability Detection
arXiv:2601.02438v4 Announce Type: replace-cross Abstract: Software vulnerability detection can be formulated as a binary classification problem that determines...
arXiv
Large Language Models As Shannon Lossy Compressors Not Solomonoff Induction Estimators: The Singularity Is Not Near Without Symbolic Model Synthesis in Program Space
arXiv:2601.05280v4 Announce Type: replace-cross Abstract: On the one hand, the question of whether Large Language Models (LLMs) are Solomonoff induction estima...
arXiv
Confident Rankings with Fewer Items: Adaptive LLM Evaluation with Continuous Scores
arXiv:2601.13885v2 Announce Type: replace-cross Abstract: Computerized Adaptive Testing (CAT) has proven effective for efficient LLM evaluation on multiple-cho...
arXiv
Human Values in a Single Sentence: Moral Presence, Hierarchies, and Transformer Ensembles on the Schwartz Continuum
arXiv:2601.14172v4 Announce Type: replace-cross Abstract: We study neural multi-label classification under severe label imbalance through sentence-level detect...
arXiv
TIDAL: Temporally Interleaved Diffusion and Action Loop for High-Frequency VLA Control
arXiv:2601.14945v3 Announce Type: replace-cross Abstract: Large-scale Vision-Language-Action (VLA) models offer semantic generalization but suffer from high in...
arXiv
SDUs DAISY: A Benchmark for Danish Culture
arXiv:2601.19930v2 Announce Type: replace-cross Abstract: We introduce Daisy, a factual knowledge benchmark for Danish cultural heritage, based on curated topi...
arXiv
AbFlow : End-to-end Paratope-Centric Antibody Design by Interaction Enhanced Flow Matching
arXiv:2602.07084v2 Announce Type: replace-cross Abstract: Antigen-antibody binding is a critical process in the immune response. Although recent progress has a...
arXiv
Dreaming in Code for Curriculum Learning in Open-Ended Worlds
arXiv:2602.08194v2 Announce Type: replace-cross Abstract: Open-ended learning frames intelligence as emerging from continual interaction with an ever-expanding...
arXiv
Learning Human-Like Badminton Skills for Humanoid Robots
arXiv:2602.08370v2 Announce Type: replace-cross Abstract: Realizing versatile and human-like performance in high-demand sports like badminton remains a formida...
arXiv
Rubrics as an Attack Surface: Stealthy Preference Drift in LLM Judges
arXiv:2602.13576v2 Announce Type: replace-cross Abstract: Evaluation and alignment pipelines for large language models increasingly rely on LLM-based judges, w...
arXiv
You Can Learn Tokenization End-to-End with Reinforcement Learning
arXiv:2602.13940v4 Announce Type: replace-cross Abstract: Tokenization is a hardcoded compression step which remains in the training pipeline of Large Language...
arXiv
Context-Dependent Affordance Reports in Vision-Language Models
arXiv:2603.04419v3 Announce Type: replace-cross Abstract: Vision-language models produce different object and use descriptions under different persona prompts,...
arXiv
Speech Generation Speaker Poisoning: Capability Erasure in Zero-Shot Text-to-Speech
arXiv:2603.07551v3 Announce Type: replace-cross Abstract: Recent zero-shot Text-to-Speech (TTS) systems can clone previously unseen voices from only a few seco...
arXiv
Hindsight-Anchored Policy Optimization: Learning Through Hindsight with Thompson Sampling-Inspired Adaptive Gating
arXiv:2603.11321v3 Announce Type: replace-cross Abstract: Reinforcement Learning with Verifiable Rewards improves reasoning in large language models, yet on-po...
arXiv
Surprised by Attention: Predictable Query Dynamics for Time Series Anomaly Detection
arXiv:2603.12916v4 Announce Type: replace-cross Abstract: Multivariate time series anomalies often manifest as shifts in cross-channel dependencies rather than...
arXiv
GP-VM$\times$SMA: Benchmarking General-Purpose Vision Models and Specialized Architectures for 2D Medical Image Segmentation
arXiv:2603.13044v2 Announce Type: replace-cross Abstract: Medical image segmentation (MIS) is a fundamental component of computer-assisted diagnosis and clinic...
arXiv
To See is Not to Master: Teaching LLMs to Use Private Libraries for Code Generation
arXiv:2603.15159v5 Announce Type: replace-cross Abstract: Large Language Models (LLMs) have shown strong potential for code generation, yet they remain limited...
arXiv
Measuring and Exploiting Contextual Bias in LLM-Assisted Security Code Review
arXiv:2603.18740v3 Announce Type: replace-cross Abstract: Automated Code Review (ACR) systems integrating Large Language Models (LLMs) are increasingly adopted...
arXiv
GT-Space: Enhancing Heterogeneous Collaborative Perception with Ground Truth Feature Space
arXiv:2603.19308v2 Announce Type: replace-cross Abstract: In autonomous driving, multi-agent collaborative perception enhances sensing capabilities by enabling...
arXiv
AI Psychosis: Does Conversational AI Amplify Delusion-Related Language?
arXiv:2603.19574v2 Announce Type: replace-cross Abstract: Conversational AI systems are increasingly used for personal reflection and emotional disclosure, rai...
arXiv
Testing the Limits of Truth Directions in LLMs
arXiv:2604.03754v2 Announce Type: replace-cross Abstract: Large language models (LLMs) have been shown to encode truth of statements in their activation space ...
arXiv
Can We Still Trace L1 Signals? Investigating the Resilience of Native Language Signals in the LLM Era
arXiv:2604.08568v3 Announce Type: replace-cross Abstract: The widespread use of LLM-based writing assistance has raised an interesting question about the homog...
arXiv
SatIR: Scalable High-Recall Constraint-Satisfaction-Based Information Retrieval for Clinical Trials Matching
arXiv:2604.08849v4 Announce Type: replace-cross Abstract: Many real-world retrieval and matching problems require more than topical relevance: a candidate must...
arXiv
Efficient Personalization of Generative User Interfaces
arXiv:2604.09876v2 Announce Type: replace-cross Abstract: Generative user interfaces (GenUIs) create new opportunities to adapt interfaces to individual users ...
arXiv
Pareto-Optimal Offline Reinforcement Learning via Smooth Tchebycheff Scalarization
arXiv:2604.13175v2 Announce Type: replace-cross Abstract: Large language models can be aligned with human preferences through offline reinforcement learning (R...
arXiv
DSS: Dynamic Semantic Steering for Robust Concept Erasure in Diffusion Models
arXiv:2604.16483v2 Announce Type: replace-cross Abstract: Text-to-image (T2I) diffusion models have introduced new security risks, as adversaries can exploit f...
arXiv
An AI Agent Execution Environment to Safeguard User Data
arXiv:2604.19657v2 Announce Type: replace-cross Abstract: AI agents promise to serve as general-purpose personal assistants for their users, which requires the...
arXiv
Useless but Safe? Benchmarking Utility Recovery with User Intent Clarification in Multi-Turn Conversations
arXiv:2604.27093v2 Announce Type: replace-cross Abstract: Current LLM safety alignment techniques improve model robustness against adversarial attacks, but ove...
arXiv
Putting HUMANS first: Efficient LAM Evaluation with Human Preference Alignment
arXiv:2605.00022v2 Announce Type: replace-cross Abstract: The rapid proliferation of large audio models (LAMs) demands efficient approaches for model compariso...
arXiv
Human-in-the-Loop Meta Bayesian Optimization for Fusion Energy and Scientific Applications
arXiv:2605.00068v2 Announce Type: replace-cross Abstract: Inertial Confinement Fusion (ICF) holds transformative promise for sustainable, near-limitless clean ...
arXiv
Adaptive 3D-RoPE: Physics-Aligned Rotary Positional Encoding for Wireless Foundation Models
arXiv:2605.00968v2 Announce Type: replace-cross Abstract: Wireless foundation models (WFMs) have emerged as a promising paradigm for unified channel state info...
arXiv
The Garden of Forking Paths: Threading Narrative Archetype as a Semantic Signal Through Gameplay Planning
arXiv:2605.01245v2 Announce Type: replace-cross Abstract: Generative models can produce individual game facets, but whole-game generation remains an orchestrat...
arXiv
Data driven approach for Outdoor Channel Prediction in 5G and Beyond
arXiv:2605.01777v2 Announce Type: replace-cross Abstract: An evolution of Wireless Communications towards 5G and beyond provides improved user experience in te...
arXiv
IntraGuard: Committee-Side Defenses Against Review Outsourcing to Commercial Chatbots
arXiv:2605.05271v2 Announce Type: replace-cross Abstract: LLMs become increasingly capable, editorial boards and program committees are growing concerned about...
arXiv
Deep Tech to Space: Space Data Centers and AI Revolution at the Edge
arXiv:2605.19892v2 Announce Type: replace-cross Abstract: Dramatic cost reductions driven by private sector innovations have led to a rapid increase in the num...
arXiv
Transcoders Trace Visual Grounding and Hallucinations in Vision-Language Models
arXiv:2605.22902v2 Announce Type: replace-cross Abstract: Generative Vision-Language Models (VLMs) perform well on multimodal reasoning, but how visual inputs ...
arXiv
Mimir: Large-scale Multilingual Concept Modeling
arXiv:2605.25263v2 Announce Type: replace-cross Abstract: Current language modeling approaches are built around tokens. Text corpora are split into tokens, and...
arXiv
LoSATok: Low-Dimensional Semantic-Acoustic Tokenizer for Cross-Domain Audio Understanding and Generation
arXiv:2605.27840v2 Announce Type: replace-cross Abstract: Audio tokenizers are fundamental to unifying audio understanding and generation. Understanding requir...
arXiv
Agentic AI for Gravitational Wave Data Analysis: A Head-to-Head Comparison of Coding Agents Executing a Matched Filter Pipeline on Einstein Telescope Simulated Data
arXiv:2605.28916v3 Announce Type: replace-cross Abstract: We report a methodological study of agentic AI in gravitational-wave data analysis: two systems, Clau...
arXiv
Compute Allocation for Self-Evolving LLMs: From Depth-Breadth to Multi-Armed Bandits
arXiv:2605.29268v3 Announce Type: replace-cross Abstract: LLM-guided evolutionary search (Evolve systems) has reached state-of-the-art results on mathematical ...
arXiv
Generating Reports or Repeating Templates? Measuring and Mitigating Template Collapse in 3D CT Report Generation
arXiv:2605.30984v2 Announce Type: replace-cross Abstract: Modern 3D medical vision-language models (VLMs) can generate fluent radiology-style text while exhibi...
arXiv
Emergence of Exploration in Policy Gradient Reinforcement Learning via Retrying
arXiv:2606.00151v2 Announce Type: replace-cross Abstract: In reinforcement learning (RL), agents benefit from exploration only because they repeatedly encounte...
arXiv
InfoAtlas: A Foundation Model for Zero-Shot Statistical Dependence Estimate
arXiv:2606.00241v2 Announce Type: replace-cross Abstract: Measuring statistical dependency between high-dimensional random variables is a fundamental task in d...
arXiv
FVSpec: Real-World Property-Based Tests as Lean Challenges
arXiv:2606.01008v4 Announce Type: replace-cross Abstract: As AI systems generate an ever-growing share of the world's code, formal verification offers a princi...
arXiv
Policy and World Modeling Co-Training for Language Agents
arXiv:2606.02388v2 Announce Type: replace-cross Abstract: Reinforcement learning (RL) improves large language model (LLM) agents by teaching them which actions...
arXiv
Attention Calibration for Position-Fair Dense Retrieval
arXiv:2606.02737v3 Announce Type: replace-cross Abstract: Dense retrieval compresses a passage into a single vector, but this compression is positionally skewe...
arXiv
Qwen-Image-Flash: Rethinking the Training Recipe for Few-Step Distillation
arXiv:2606.03746v3 Announce Type: replace-cross Abstract: Few-step distillation has emerged as a critical component in the development of advanced visual gener...
arXiv
EasyLens: A Training-Free Plug-and-Play Subtle-Lesion Representation Amplifier for Medical Vision-Language Models
arXiv:2606.06379v3 Announce Type: replace-cross Abstract: Medical vision-language models (VLMs) have shown increasing potential for clinical image interpretati...
arXiv
Hearing the Unspoken: Language Model Priors for Acoustic Adversarial Attacks
arXiv:2606.06833v2 Announce Type: replace-cross Abstract: Automatic Speech Recognition (ASR) systems operating in real-time settings must process acoustic inpu...
arXiv
Cherry-pick Override: LLM Judges Under-use the Non-Directional Verdicts Their Contract Authorizes
arXiv:2606.07834v2 Announce Type: replace-cross Abstract: Evidence-grounded fact verification increasingly uses LLM judges to turn evidence into terminal verdi...
arXiv
FiberTune: Preserving Action-Fiber Visual Residuals in Vision-Language-Action Fine-Tuning
arXiv:2606.08653v3 Announce Type: replace-cross Abstract: Action-supervised fine-tuning of vision-language-action (VLA) policies fits demonstrations effectivel...
arXiv
SAILS: Surrogate-based Analysis of Interactions via Local Effect Smooths
arXiv:2606.09404v2 Announce Type: replace-cross Abstract: Feature interactions drive much of the predictive power of machine learning models, yet existing expl...
arXiv
How Do Video Foundation Models Encode Intuitive Physics? Probing Across Pretraining Paradigms
arXiv:2606.09646v2 Announce Type: replace-cross Abstract: We study whether pretrained video foundation models encode intuitive-physics information in their fro...
arXiv
Attention-Discounted Adaptive Sampler for Masked Diffusion Language Models
arXiv:2606.10829v4 Announce Type: replace-cross Abstract: Masked diffusion language models can reduce inference steps by revealing multiple tokens per denoisin...
arXiv
AgentRivet: an automated system for producing Rivet routines from journal publications
arXiv:2606.13535v4 Announce Type: replace-cross Abstract: Particle physics collider experiments provide Rivet routines as part of the analysis preservation str...
arXiv
Mask, Sample, Revise: A Revisable CTMC Inference Stack for Guided Discrete Flow Matching Text-to-Speech
arXiv:2606.13989v2 Announce Type: replace-cross Abstract: Recent alignment-free non-autoregressive (NAR) text-to-speech (TTS) models formulate synthesis as a c...
arXiv
IUU+DB: Tracking Illegal, Unreported, and Unregulated Fishing, Seafood Fraud, and Labor Abuse through LLM-driven Information Extraction
arXiv:2606.18181v3 Announce Type: replace-cross Abstract: Illegal, unreported, and unregulated fishing (IUU) traditionally refers to fishing activities that vi...
arXiv
Robusto-2: Benchmarking Humans & VLMs for Autonomous Driving in Lima & New York City
arXiv:2606.20980v2 Announce Type: replace-cross Abstract: As Self-Driving Cars continue to expand internationally and use multi-modal systems such as VLMs as a...
arXiv
UniRank: Unified Rank Allocation for Low-Rank LLM Compression
arXiv:2606.21847v2 Announce Type: replace-cross Abstract: Low-rank decomposition is a promising compression paradigm for large language models (LLMs), yet its ...
arXiv
The Language-Energy Divide: Measuring Energy Costs of Multilingual LLM Inference
arXiv:2606.21869v2 Announce Type: replace-cross Abstract: Large language models (LLMs) are increasingly deployed in multilingual settings, yet the energy costs...
arXiv
DeepDiscovery: A Location-Inference Framework for Task-Level Repository Understanding
arXiv:2606.22906v2 Announce Type: replace-cross Abstract: Large language models have shown strong performance on software engineering (SE) tasks, yet understan...
arXiv
Weave of Formal Thought
arXiv:2606.25987v2 Announce Type: replace-cross Abstract: Large language models attain remarkable surface fluency on code, yet they do not formally guarantee t...
arXiv
Interpretable Inverse Design of Metal-Organic Frameworks with Large Language Model Agents
arXiv:2606.29459v2 Announce Type: replace-cross Abstract: Inverse design of metal-organic frameworks (MOFs) requires navigating combinatorial spaces with costl...
arXiv
DART-VLN: Test-Time Memory Decay and Anti-Loop Regularization for Discrete Vision-Language Navigation
arXiv:2607.01043v4 Announce Type: replace-cross Abstract: Memory-based agents for discrete vision-language navigation (VLN) operate under partial observability...
arXiv
Mapping Text to Multiplex Graph: Prompt Compression as L\'evy Walk-Guided Graph Pruning
arXiv:2607.01241v2 Announce Type: replace-cross Abstract: Existing prompt compression methods treat text as flat token sequences, failing to capture the distri...
arXiv
PEEK: Predictive Queue-Informed KV Cache Management for LLM Serving
arXiv:2607.02525v2 Announce Type: replace-cross Abstract: We present PEEK, a lightweight scheduling and eviction framework for both online (streaming) and offl...
arXiv
DualView: Preventing Indirect Prompt Injection in Personal AI Agents
arXiv:2607.03821v2 Announce Type: replace-cross Abstract: Personal AI agents that run on the user's local machine automate daily tasks including web search, em...
arXiv
Energy Accuracy Is Not Enough: A Structure-Aware Benchmark and Evaluation Protocol for Quantum Architecture Search
arXiv:2607.04845v2 Announce Type: replace-cross Abstract: Quantum architecture search for molecular ground-state estimation is commonly evaluated through energ...
arXiv
REDDIT: Forgetting-Resistant Correction of Timestamp Drift in ASR via Replay-Based Distribution Editing
arXiv:2607.05364v4 Announce Type: replace-cross Abstract: Modern autoregressive ASR systems can emit timestamps as decoded tokens, enabling timestamped transcr...
arXiv
LEXIC: Lightweight On-Device Decoding of Reading Comprehension from Eye Movements
arXiv:2607.08152v2 Announce Type: replace-cross Abstract: Predicting comprehension from eye movements could support adaptive reading interfaces. We present LEX...
arXiv
SMetric: Rethink LLM Scheduling for Serving Agents with Balanced Session-centric Scheduling
arXiv:2607.08565v2 Announce Type: replace-cross Abstract: LLM scheduling is critical to serving, yet how well existing designs fit agentic serving--where agent...
arXiv
TypiCore: A Hybrid Active Query Strategy for Class-Incremental Learning on Time Series
arXiv:2607.17632v2 Announce Type: replace-cross Abstract: Time series data play a pivotal role across numerous domains, including healthcare and manufacturing....
arXiv
Adaptive Adversaries: A Multi-Turn, Multi-LLM Benchmark for LLM Agent Security
arXiv:2607.18063v2 Announce Type: replace-cross Abstract: LLM-based agents process external content, exposing them to prompt injection and multi-turn manipulat...
arXiv
SechKAN: Kolmogorov-Arnold Networks with Hyperbolic Secant Functions
arXiv:2607.18290v3 Announce Type: replace-cross Abstract: In recent years KolmogorovArnold Networks KANs have attracted increasing attention due to their effec...
arXiv
Freezing the Physiological Encoder: Explanation Stability Under Bounded Updates of an ICU Model
arXiv:2607.19020v4 Announce Type: replace-cross Abstract: Clinical prediction models deployed in intensive care units may require model updating when data dist...
arXiv
REGEN: Replay-recycling for Expert-to-Generalist distillation with Offline Reinforcement Learning
arXiv:2607.19450v3 Announce Type: replace-cross Abstract: Large-scale online reinforcement learning (RL) is the predominant means of eliciting advanced abiliti...
arXiv
X-Stage: Modeling Post-Issue Backpressure in GPU Communication--Computation Fusion
arXiv:2607.23264v2 Announce Type: replace-cross Abstract: Fine-grained, device-initiated communication allows fused GPU kernels to issue remote stores directly...
arXiv
MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents
arXiv:2607.23870v2 Announce Type: replace-cross Abstract: In IoT-enabled smart-city settings, Uncrewed Aerial Vehicles (UAVs) are evolving from passive sensing...
arXiv
Looping Is Not Reliability: State-Bound Evidence and Typed Revision Contracts for Agentic Code Repair
arXiv:2607.24604v2 Announce Type: replace-cross Abstract: Generate--test--revise loops are common in coding agents, but repetition alone provides no reliabilit...
arXiv
Learning from 53.6K Real-World Developer Edits of AI-Generated Code
arXiv:2607.25130v2 Announce Type: replace-cross Abstract: Imperfections in AI-generated code require that software developers modify the generated code manuall...
arXiv
FairFund-Bench: Evaluating Distributive Bias in LLM Resource Allocation
arXiv:2607.28934v2 Announce Type: replace-cross Abstract: Large language models (LLMs) are increasingly involved in the distribution of scarce resources, raisi...
arXiv
DreamQAS: Learning a Decision-Useful World Model for VQE-Efficient Quantum Architecture Search
arXiv:2607.29491v2 Announce Type: replace-cross Abstract: Reinforcement-learning-based quantum architecture search (RL-QAS) repeatedly invokes a variational qu...
arXiv
FriendBench: Benchmarking Dyadic Familiarity Inference in Humans and Multimodal Large Language Models
arXiv:2607.29602v2 Announce Type: replace-cross Abstract: Reading a social situation often depends on behavior, not words alone. We introduce FriendBench, a be...
arXiv
Can AI Agents Simulate A/B Test Outcomes? A Validation Framework for Agentic Experimentation
arXiv:2608.02345v3 Announce Type: replace-cross Abstract: A/B testing remains the standard for rolling out new features in the technology industry. Each experi...
arXiv
MameLoshnLM: Yiddish Language Model and Evaluation Benchmark
arXiv:2608.05850v2 Announce Type: replace-cross Abstract: We present MameLoshnLM, the first open-source 8B-parameter language model built specifically for Yidd...
arXiv
Hidden Gauge Controls Feature Specialization in ReLU Networks
arXiv:2608.06766v2 Announce Type: replace-cross Abstract: The success of deep learning depends on learning useful representations, yet predicting how training ...
arXiv
Ready Cohorts: Bounding GPU Opportunity and Avoiding Host Round Trips in LLM-Agent Control
arXiv:2608.12123v2 Announce Type: replace-cross Abstract: We introduce a mechanism that improves LLM-agent execution: keeping four-byte, GPU-computed control-p...
arXiv
FluctlightDB: A Memory Model of Data for AI Agents
arXiv:2608.12365v2 Announce Type: replace-cross Abstract: For fifty years, data systems have answered two questions. The relational model asked which records m...
arXiv
KREL: Automatic Medical Coding via Knowledge-Guided Reasoning over Clinical Evidence with LLMs
arXiv:2608.20887v2 Announce Type: replace-cross Abstract: Automatic Medical Coding (AMC), which assigns standardized International Classification of Diseases (...
arXiv
What's the Catch? Evaluating Temporal Consistency in Vision-Language Models
arXiv:2608.23474v3 Announce Type: replace-cross Abstract: Vision-language models (VLMs) achieve strong performance on video and image-sequence benchmarks, yet ...
arXiv
A Few Pages of Markdown: Committed AI Configuration and Lower Quality Cost after Coding-Agent Adoption
arXiv:2608.25241v2 Announce Type: replace-cross Abstract: Coding agents increase development velocity but also technical debt. Prior work reports only average ...
arXiv
CRAMER: Control via Request-Aware Masking for Editing Recommenders
arXiv:2608.25370v2 Announce Type: replace-cross Abstract: Sequential recommendation models, while powerful, have limited flexibility in responding to immediate...
arXiv
Syn2Logic: End-to-End Neuromorphic Design Automation
arXiv:2608.25536v2 Announce Type: replace-cross Abstract: In this work, we propose a view on electronic Neuromorphic Design Automation (eNDA), which we see as ...
arXiv
When the Canonical Completion Is Wrong: Formalizing and Measuring the Jump in Large Language Models
arXiv:2608.26187v3 Announce Type: replace-cross Abstract: Whether large language models (LLMs) can perform the abductive leap from evidence to a new system of ...
arXiv
Simultaneous Envy and Equitability Guarantees
arXiv:2608.26410v2 Announce Type: replace-cross Abstract: Recent work in fair division has focused on either simultaneously satisfying closely related fairness...
arXiv
Persona-Execution Separation: An Architecture Pattern for Evolving LLM Agents under Execution Audit
arXiv:2608.27427v2 Announce Type: replace-cross Abstract: Large language model (LLM) agents in governed organizations must let the persona (instructions, tone,...
arXiv
A rigor-matched audit of periodic-step layer skipping for efficient llm inference: conflayers versus swift, with a supplemental analysis of trained routing alternatives
arXiv:2608.28846v2 Announce Type: replace-cross Abstract: Layer-skipping methods for efficient LLM inference decide, at some granularity, which transformer lay...
arXiv
Untangling the Mechanisms of Misleading Context in Medical Question Answering
arXiv:2609.02754v2 Announce Type: replace-cross Abstract: Large language models now answer medical questions with expert-level performance. However, the contex...
arXiv
Adaptation Interfaces for In-Context Tabular Foundation Models in Time-to-Event Prediction
arXiv:2609.04901v2 Announce Type: replace-cross Abstract: Tabular foundation models (TabFMs) achieve strong performance on structured data, particularly for st...
arXiv
Skynet: Workflow-Level Anomaly Detection for Agentic AI via Semantic and Structural Modeling
arXiv:2609.06835v2 Announce Type: replace-cross Abstract: Agentic AI systems execute complex tasks through long-horizon workflows of planning, tool use, and mu...
arXiv
Constrained Online Learning with Noisy Constraint Values
arXiv:2609.06921v2 Announce Type: replace-cross Abstract: We study constrained online convex optimization with adversarial constraints and conditionally unbias...
arXiv
Proprioception-Anchored Cross-Modal Pretraining for Zero-Shot Sim-to-Real Contact-Rich Assembly
arXiv:2609.07534v2 Announce Type: replace-cross Abstract: Contact-rich assembly remains challenging because it requires submillimeter spatial accuracy and reli...
arXiv
Multimodal Duplex Interaction Agent
arXiv:2609.08977v3 Announce Type: replace-cross Abstract: In this work, we present Gander, a native multimodal duplex interaction model that builds on MiniCPM-...
arXiv
ThinkPrior: Zero-Rollout Difficulty Priors for Cold-Start Prompt Selection in RLVR
arXiv:2609.09075v2 Announce Type: replace-cross Abstract: In reinforcement learning with verifiable rewards (RLVR) trained with group relative policy optimizat...
arXiv
No Free Checker: A Survey of Verifiers for Robot Policies
arXiv:2609.09250v2 Announce Type: replace-cross Abstract: A verifier for robot policies reads a candidate behavior and returns a score for how well it did, use...
arXiv
ActSafeGuard: Differentiable and Training-Aligned Constraint Enforcement for Flow-Matching Policies
arXiv:2609.11697v2 Announce Type: replace-cross Abstract: Vision-Language-Action (VLA) and World-Action Models (WAMs) have demonstrated strong capabilities in ...
arXiv
Agentic TCAD Calibration Workflow for Oxide Semiconductor Transistors
arXiv:2609.12184v2 Announce Type: replace-cross Abstract: Experimental TCAD calibration is essential for predictive technology modeling of emerging oxide semic...
arXiv
Evaluating Context Segmentation in Locally Deployable SLMs for Cybersecurity CTF Tasks
arXiv:2609.12839v2 Announce Type: replace-cross Abstract: The proliferation of highly capable open-weight Small Language Models (SLMs) democratizes access to a...
Wired
AI ‘Actor’ Tilly Norwood Told Me That ‘All Lives Matter’
The virtual character, which is promoting its upcoming movie Misaligned, tries to evade politics by repetitively commenting on the clothes you’re wearing....
Google Blog
AI for Societal Impact
Explore this collection to see how experts and local leaders are using AI breakthroughs to ensure everyone can share the opportunity of AI....
Google Blog
Building AI to accelerate science and improve lives
The true measure of AI is who it helps. Here’s how it’s impacting lives today. We're focused on key areas where advanced technology can help make extraordin...
Google Blog
AI for everyone in every language
We’re moving beyond traditional text translation to build models that understand the world’s rich, living languages exactly as they are expressed....
Google Blog
New insights from Google’s AI & Economy ATLAS
We’ve translated ATLAS’s millions of global data points into an interactive, open-access experience....
Google Blog
Watch astronaut Christina Koch and Google’s James Manyika discuss space, technology, and discovery.
Christina Koch sits down with James Manyika, Google’s Senior Vice President of Research, Labs, Technology & Society....
Wired
New York Seizes a Dozen Celebrity Deepfake Websites
In the biggest-ever legal action against harmful deepfake websites, the Manhattan District Attorney’s Office has seized 12 sites that collectively targeted ar...
Google Blog
DevFest is back
DevFest 2026 is back and here’s how you can connect with one of the more than 800 global events to build, secure, and scale in the agentic AI era....
Wired
AI Leaders Are Calling for a Slowdown. Trump’s Team Says It’s on Them
Sam Altman and Elon Musk backed Anthropic CEO Dario Amodei’s weekend plea for regulation. The White House seems unlikely to oblige....
Wired
Sexually Explicit Deepfake Sites Target 100-Plus Politicians in Europe
An analysis of 160 deepfake websites reveals politicians in 22 countries appear on them. Nearly all of them are women....
Wired
‘I Like My Big Rat Wife’: Meet the People Using Chatbots to Write Custom Fiction
While the publishing industry frets over how authors are using AI, many readers are taking things into their own hands....
Wired
AI Agents Are Thirsty for Power
Silicon Valley is shifting away from chatbot queries toward a future filled with resource-intensive agentic AI—and it's driving the data center buildout....
Wired
From Hacks to Bioweapons, Claude Misuse Is Now Everywhere
Plus: The US disrupts the internet’s biggest black market, a Conti ransomware hacker gets prison time, Meta fails to stop AI-generated videos of child abuse....
Wired
Meta Sued Over Training Data for Its AI and Face-Recognition Systems
The proposed class action alleges Meta illegally harvested people’s Facebook and Instagram photos to train its AI image-generation models and to build its unr...
Wired
One of AI’s Fiercest Critics Says All the Doom Talk Is ‘Meant to Distract Us’
Timnit Gebru argues that AI companies are stoking fears of extinction to avoid discussing actual harms, like autonomous weapons....
Google Blog
3 ways to prep for your next big race with Search
Search can help runners get race-day ready with registration alerts, tailored training plans, and more....
Google Blog
Get ready for the game with new football features in Search
Track live game feeds, explore detailed stats, and get custom fantasy recommendations directly in Search this season....
Google Blog
Recreating a 70-year love story frame by frame
Discover how filmmakers and Google DeepMind used AI to recreate a couple's unrecorded past in the short film "Love, Rendered."...
Google Blog
Proactive cyber defense for governments and enterprises
The Fairwind Program is a limited access program for governments and trusted partners to use our cyber defense tools....
Google Blog
The latest AI news we announced in August 2026
Here are Google’s latest AI updates from August 2026...
Google Blog
Try Google Pics: Easy image creation and editing in Google Workspace
Built on our latest Nano Banana model, Google Pics — our image creation and editing tool — is now available....
Google Blog
3 new ways to plan and book travel in Search
Book hotels and track airfares, plus view miles and rewards with AI Mode in Google Search....
Google Blog
5 ways to upgrade your home decor with Google Search
Learn how to use Google Search tools to find home decor inspiration, shop for furniture, and tackle DIY projects....
Google Blog
5 new ways to level up your learning with Search
Here’s how you can use Google Search tools to study for classes and standardized tests....
Google Blog
Get closer to the game with Gemini and Pixel
Google Gemini and Pixel partner with five global football clubs to elevate the fan matchday experience through AI and Smartphone Technology....
Google Blog
Bring your spreadsheet data to life with Sheets canvas
Sheets canvas turns data into interactive dashboards, custom study trackers, seating charts, and more, all with a simple prompt....
Google Blog
AMIE, our research medical AI system, demonstrates real-time clinical video consultation capabilities in a first-of-its-kind study.
Google introduces AMIE for real-time clinical video consultations in simulated settings....
Google Blog
Evolve your marketing with new AI tools
Learn how new AI and agentic experiences across Google Ads and Google Analytics can simplify your marketing workflow....
Google Blog
The latest AI news we announced in July 2026
Here are Google’s latest AI updates from July 2026...
OpenAI, Broadcom, Anthropic, Slack, Amazon Web Services (AWS), TechCrunch, Artificial Intelligence N
🚀 Top AI News & Developments (June 25, 2026)
Short Summary / Description Stay updated with the latest AI news from June 25, 2026**. Discover OpenAI's first custom AI chip, Amazon's $13 billion AI invest...
