AI news archive.
19,861 articles, newest first, from the outlets listed on the sources page.
- arXiv cs.AIresearchCan JEV Support Clinical Trial Criteria Assessment?
arXiv:2610.35721v1 Announce Type: cross Abstract: Clinical trial prescreening requires distinguishing unmet conditions from insufficient evidence in patient records. Given patient records, criterion questions, and predef…
- arXiv cs.AIresearchThe Watchtower Imperative: Lifespan-Calibrated Evaluation for Frontier AI
arXiv:2610.35725v1 Announce Type: cross Abstract: The gap between AI capability deployment and safety assurance is structural and cannot be closed through internal evaluations alone. Analyzing documented harms (2017-2026…
- arXiv cs.AIresearchMulti-Objective Reinforcement Learning Using Routed Ensembles and Trajectory Attribution
arXiv:2610.35733v1 Announce Type: cross Abstract: Multi-objective reinforcement learning is a fundamental problem for modern AI, with applications spanning post-training, reasoning models, and robotic control. A central…
- arXiv cs.AIresearchEEGaze: Multimodal Attention Prediction in Visual Search via EEG-Based Saliency Refinement
arXiv:2610.35757v1 Announce Type: cross Abstract: Visual search is ubiquitous in daily life, from locating keys in a messy apartment to finding a tool in a cluttered workshop or an application icon on a desktop screen. W…
- arXiv cs.AIresearchDo Similarity Measures Measure Similarity? How User Activity Creates Phantom Correlation in Recommender Systems
arXiv:2610.35765v1 Announce Type: cross Abstract: Item-item similarity is one of the oldest and most foundational signals in recommender systems: two items are assumed to be similar when the same users consume them. Desp…
- arXiv cs.AIresearchLearning When to Commit: Schedule Distillation for Fast Diffusion Language Models
arXiv:2610.35804v1 Announce Type: cross Abstract: Diffusion large language models (dLLMs) can generate multiple tokens in parallel, but often require many decoding rounds to complete a response. Efficient generation depe…
- arXiv cs.AIagentsPretraining Knows What, Simulation Teaches How: Compositional Generalization in a Sim-Trained Robot Agent
arXiv:2610.35817v2 Announce Type: replace-cross Abstract: A robot policy needs to understand what a task is asking for in a scene, and how to move the robot to accomplish that task. To achieve these two skills, we introd…
- arXiv cs.AIagentsReva: Real-Time Vulnerability Detection through Contextual Probing of Large Language Models
arXiv:2610.35829v1 Announce Type: cross Abstract: A vulnerability costs more to fix the later it is discovered. As coding agents generate code faster than developers can review it, software needs a first line of defense…
- arXiv cs.AIagentsProfiling a Frontier Agent with EBench: From Direct Control to Harness with Policy
arXiv:2610.35832v1 Announce Type: cross Abstract: Frontier multimodal large language models (MLLMs) can control robots without robot-specific training, but how their capabilities compare and interact with post-trained vi…
- arXiv cs.AIagentsI-HITL: Inalienable Human-in-the-Loop
arXiv:2610.35835v3 Announce Type: replace-cross Abstract: Human oversight is a pillar of AI safety. It is often exercised by a human in the loop (HITL) who approves critical actions taken by an AI agent. AI agents' incre…
- arXiv cs.AIresearchLearning Force-Reactive Humanoid Loco-Manipulation
arXiv:2610.35862v1 Announce Type: cross Abstract: Many everyday tasks require controlling contact force as well as motion. On a humanoid, this force must often be coordinated across both hands and the whole body, and can…
- arXiv cs.AIagentsArtificial Leviathan: Exploring Social Evolution of LLM Agents Through the Lens of Hobbesian Social Contract Theory
arXiv:2406.14373v4 Announce Type: replace Abstract: The emergence of Large Language Models (LLMs) and advancements in Artificial Intelligence (AI) offer an opportunity for computational social science research at scale.…
- arXiv cs.AIresearchEvaluating Harmful Memorization in LLM Code Generation
arXiv:2503.02296v3 Announce Type: replace Abstract: Assessing memorization in LLM code generation is challenging because code reuse is not inherently harmful. Correct programs often share APIs, templates, and algorithmic…
- arXiv cs.AIagentsEfficient Generation of Diverse Cooperative Agents with World Models
arXiv:2506.07450v2 Announce Type: replace Abstract: A major bottleneck in the training process for Zero-Shot Coordination (ZSC) agents is the generation of diverse partner agents via Population-based Training (PBT). Prom…
- arXiv cs.AIresearchExploring the Limits of Large Language Models as a Reflection of Human Cognition: An Illustration in the Context of Moral Judgement
arXiv:2508.06950v4 Announce Type: replace Abstract: Large Language Models (LLMs), such as ChatGPT, are increasingly used in research, ranging from simple writing assistance to complex data annotation tasks. Recently, som…
- arXiv cs.AIagentsClosing the empirical loop: autonomous AI agents conduct end-to-end research with human participants
arXiv:2508.13421v3 Announce Type: replace Abstract: Artificial intelligence systems are transforming scientific discovery by accelerating specific research tasks, from protein structure prediction to materials design, ye…
- arXiv cs.AIagentsAgentic AI Empowered Intent-Based Networking for 6G
arXiv:2601.06640v2 Announce Type: replace Abstract: The transition towards sixth-generation (6G) wireless networks necessitates autonomous orchestration mechanisms capable of translating high-level operational intents in…
- arXiv cs.AIresearchHealth-SCORE: Towards Scalable Rubrics for Improving Health-LLMs
arXiv:2601.18706v2 Announce Type: replace Abstract: Rubrics are essential for evaluating open-ended LLM responses, especially in safety-critical domains such as healthcare. However, creating high-quality and domain-speci…
- arXiv cs.AIresearchDo MLLMs Really See It: Reinforcing Visual Attention in Multimodal LLMs
arXiv:2602.08241v2 Announce Type: replace Abstract: While chain-of-thought (CoT) reasoning has substantially improved multimodal large language models (MLLMs) on complex reasoning tasks, existing approaches largely rely…
- arXiv cs.AIagentsCAFE: Causally-Guided Automated Feature Engineering with Multi-Agent Reinforcement Learning
arXiv:2602.16435v2 Announce Type: replace Abstract: Automated feature engineering (AFE) enables AI systems to autonomously construct high-utility representations from raw tabular data. However, existing AFE methods rely…
- arXiv cs.AIresearchBeyond 0-100: How Confidence Scale Design Shapes Verbalized Confidence and LLM Metacognition
arXiv:2603.09309v4 Announce Type: replace Abstract: Verbalized confidence, in which LLMs report a numerical certainty score, is widely used to estimate uncertainty in black-box settings, yet the confidence scale itself (…
- arXiv cs.AIresearchGPT4o-Receipt: A Dataset and Human Study for AI-Generated Document Forensics
arXiv:2603.11442v3 Announce Type: replace Abstract: Can humans detect AI-generated financial documents better than machines? We present GPT4o-Receipt, a benchmark of 1,235 receipt images pairing GPT-4o-generated receipts…
- arXiv cs.AIagentsAutoB2G: Agentic Simulation and Reinforcement Learning for Spatio-Temporal Grid-Interactive Building Control
arXiv:2603.26005v3 Announce Type: replace Abstract: Grid-interactive building control can improve demand-side flexibility, but realistic evaluation requires coordinated co-simulation of buildings, reinforcement learning…
- arXiv cs.AIresearchEpiPersona: Persona Projection and Episode Coupling for Pluralistic Preference Modeling
arXiv:2603.28197v2 Announce Type: replace Abstract: Pluralistic alignment is essential for adapting large language models (LLMs) to the diverse preferences of individuals and minority groups. However, existing personaliz…
- arXiv cs.AIresearchAlphaCNOT: Learning CNOT Minimization with Model-Based Planning
arXiv:2604.13812v2 Announce Type: replace Abstract: Quantum circuit optimization is a central task in quantum computing, as current NISQ devices suffer from error propagation that often scales with the number of operatio…
- arXiv cs.AIresearchA systematic evaluation of vision-language models for observational astronomical reasoning tasks
arXiv:2604.24589v2 Announce Type: replace Abstract: Vision-language models (VLMs) are increasingly proposed as general-purpose tools for scientific data interpretation, yet their reliability on real astronomical observat…
- arXiv cs.AIagentsTerminus-4B: Can a Smaller Model Replace Frontier LLMs at Agentic Execution Tasks?
arXiv:2605.03195v3 Announce Type: replace Abstract: Modern coding agents increasingly delegate specialized subtasks to subagents, which are smaller, focused agentic loops that handle narrow responsibilities like search,…
- arXiv cs.AIresearchPREFER: Personalized Review Summarization with Online Preference Learning
arXiv:2605.05911v2 Announce Type: replace Abstract: Product reviews significantly influence purchasing decisions on e-commerce platforms. However, the sheer volume of reviews can overwhelm users, obscuring information mo…
- arXiv cs.AIresearchFrom Pixels to Prompts: Vision-Language Models
arXiv:2605.07544v4 Announce Type: replace Abstract: When you read a paper about a new Vision-Language Model today, it can be easy to forget how strange this idea would have sounded not so long ago. Teaching machines to s…
- arXiv cs.AIresearchDiagnosticIQ: A Benchmark for LLM-Based Industrial Maintenance Action Recommendation from Symbolic Rules
arXiv:2605.08614v2 Announce Type: replace Abstract: Monitoring complex industrial assets relies on engineer-authored symbolic rules that trigger on sensor conditions and prompt technicians to perform corrective actions.…
- arXiv cs.AIagentsMulti-Agent Debate for Belief Optimization in Defeasible Domains
arXiv:2605.12718v2 Announce Type: replace Abstract: Multi-agent debate has emerged as a promising approach for improving LLM reasoning on ground-truth tasks, yet current methodologies face certain structural limitations:…
- arXiv cs.AIresearchLearning Scenario Reduction for Two-Stage Robust Optimization with Discrete Uncertainty
arXiv:2605.14494v2 Announce Type: replace Abstract: Two-Stage Robust Optimization (2RO) with discrete uncertainty is challenging, often rendering exact solutions prohibitive. Scenario reduction alleviates this issue by s…
- arXiv cs.AIresearchNGM: A Plug-and-Play Training-Free Memory Module for LLMs
arXiv:2605.16893v2 Announce Type: replace Abstract: Recent studies have introduced memory-augmented architectures that decouple knowledge storage from neural computation, enabling more direct access to stored representat…
- arXiv cs.AIagentsAgents for Experiments, Experiments for Agents: A Design Grammar for AI-Enabled Experimental Science
arXiv:2605.17746v2 Announce Type: replace Abstract: Human-AI experiments vary who receives information, who can act, and who holds decision authority. Precise descriptions of individual studies do not by themselves provi…
- arXiv cs.AIresearchMeasuring Cross-Modal Synergy: A Benchmark for VLM Explainability
arXiv:2605.22168v2 Announce Type: replace Abstract: Vision-Language Models (VLMs) map complex visual inputs to semantic spaces, but interpreting the cross-modal reasoning of VLMs currently relies on post-hoc explainers e…
- arXiv cs.AIresearchICCU: In-Context Continual Unlearning via Pattern-Induced Refusal Rules
arXiv:2605.27138v2 Announce Type: replace Abstract: Machine unlearning aims to remove the influence of specific data from trained language models. In real-world deployments, unlearning requests often arrive sequentially,…
- arXiv cs.AIagentsVitalAgent: A Tool-Augmented Agent for Reactive and Proactive Physiological Monitoring over Wearable Health Data
arXiv:2605.29483v3 Announce Type: replace Abstract: Wearable devices provide continuous access to physiological signals such as ECG and PPG, offering a path to answering users' questions about their own physiological sta…
- arXiv cs.AIresearchRhythm of the Deep: Two-tier acoustic organization of sperm-whale codas from click waveforms to coda sequences
arXiv:2606.16084v4 Announce Type: replace Abstract: Sperm-whale codas are usually described by the number and timing of their clicks. These measures have revealed patterns in whale communication, but leave open how click…
- arXiv cs.AIagentsHealthAgentBench: A Unified Benchmark Suite of Realistic Agentic Healthcare Environments for Challenging Frontier AI Agents
arXiv:2606.31179v2 Announce Type: replace Abstract: As AI agents become increasingly capable of complex, long-horizon reasoning, rigorous evaluation is essential for measuring progress toward real-world healthcare applic…
- arXiv cs.AIagentsCIPHER: A Decoupled Exploration-Selection Framework for Test-Time Scaling of Data Science Agents
arXiv:2607.14386v2 Announce Type: replace Abstract: Enterprise data science and analytics spans closed-ended information extraction with verifiable answers and open-ended insight discovery. Agents are evaluated on one or…
- arXiv cs.AIagentsArbiGraph: Arbitrarily Scalable Verifiable Task Graphs for Evaluating Context Management
arXiv:2607.20764v2 Announce Type: replace Abstract: We introduce ARBIGRAPH, a benchmark generator for evaluating whether tool-assisted language agents can retain, update, compose, and discard task-relevant context across…
- arXiv cs.AIagentsSpatialCLI: Learning to Reason With Spatial Tools, Then Without Them
arXiv:2607.27703v3 Announce Type: replace Abstract: Vision-language models (VLMs) are increasingly used in embodied agents to interpret visual inputs, reason about spatial relationships, and make task-level decisions bas…
- arXiv cs.AIagentsMeasurement Without Validity: The Compounding Reliability Problem in Agentic AI Evaluation
arXiv:2608.00794v5 Announce Type: replace Abstract: Agentic AI evaluation pipelines produce benchmark scores that justify deployment decisions, safety certifications, and regulatory compliance claims. No formal framework…
- arXiv cs.AIresearchXPress: Parallel Refinement for Diffusion Drafters in Speculative Decoding
arXiv:2608.02438v2 Announce Type: replace Abstract: Block-diffusion drafters like dFlash generate an entire block of draft tokens in a single forward pass, drastically reducing the overhead of multiple-token drafting in…
- arXiv cs.AIagentsGENCO - A Unified Neural Solver Embedded in a Development Framework for Steady-State Grid Analysis
arXiv:2608.09921v3 Announce Type: replace Abstract: Foundation models are transforming business workflows and boosting productivity, yet they remain largely absent from engineering domains such as power system analysis,…
- arXiv cs.AIagentsRecovering Wasted Compute in Autoresearch Agents
arXiv:2608.10424v2 Announce Type: replace Abstract: A slew of recent works develop agents for solving research problems end-to-end, a paradigm increasingly referred to as autoresearch. Such agents have inspired large ind…
- arXiv cs.AIresearchBroken Symmetry in LLM Refusal: Answer Release Is More Local Than Refusal Restoration
arXiv:2608.15772v2 Announce Type: replace Abstract: When a language model refuses to answer a prompt, it is unclear whether the correct answer is erased from its internal representations, or merely suppressed at the outp…
- arXiv cs.AIagentsTrace Integrity for LLM Data Agents: Auditing Structured-Data Computation Beyond Answer Accuracy in Real-World Systems
arXiv:2608.26036v2 Announce Type: replace Abstract: Large language model (LLM) data agents answer structured-data questions by generating SQL, invoking tools, executing queries, and summarizing results. In operational se…
- arXiv cs.AIagentsFinLifeBench: Exhaustive Life-Event History and Financial-State Reconstruction from Longitudinal Banking Dialogue
arXiv:2609.01198v3 Announce Type: replace Abstract: Repeated banking interactions require assistants to maintain complete, current, and traceable customer records as life changes emerge incidentally in routine requests.…
- arXiv cs.AIresearchLearning Counterfactual World Models for Embodied Reasoning under Partial Observability
arXiv:2609.05834v2 Announce Type: replace Abstract: World models promise a general route to embodied intelligence: learn predictive dynamics once, then reason, plan, and act with them. Increasingly, the representations b…