AI news archive.
19,864 articles, newest first, from the outlets listed on the sources page.
- arXiv cs.AIagentsDeFA: Dependency-Guided Failure Attribution for LLM Agents
arXiv:2610.01256v1 Announce Type: new Abstract: Errors in LLM agent executions and their visible consequences can be separated by many steps, making decisive-error localization a matter of understanding both step content…
- arXiv cs.AIresearchFeedback Without the Wait: Piloting a Generative AI Practice Platform in a Large Maths Class
arXiv:2610.01262v1 Announce Type: new Abstract: Timely and specific feedback is one of the strongest influences on student learning, yet it is difficult to sustain in large electrical engineering classes where the ratio…
- arXiv cs.AIagentsSCOPE-AD: Sequential cost-aware ordinal-belief planning with energy-based models for diagnostic agents
arXiv:2610.01278v1 Announce Type: new Abstract: Alzheimer's disease (AD) diagnosis requires sequential evidence acquisition under heterogeneous test costs and patient burden. Fixed-modality predictors do not jointly deci…
- arXiv cs.AIresearchTrustworthy Data- and ML-Ops for Intelligent Transportation Systems and Logistics
arXiv:2610.01282v1 Announce Type: new Abstract: The rapid evolution of Intelligent Transportation Systems and Logistics (ITS\&L) has become a cornerstone of the modern social economy, relying heavily on the integration o…
- arXiv cs.AIresearchITC-MoE: Importance-guided Token-aware Compression for MoE Diffusion Language Models
arXiv:2610.01296v1 Announce Type: new Abstract: Mixture-of-Experts (MoE) Diffusion Language Models (DLMs) offer flexible parallel decoding and increased model capacity, but their large number of expert parameters incurs…
- arXiv cs.AIresearchQuestionnaire-Guided Disaggregation of Energy Appliance Use for Domestic Smart Meter Data
arXiv:2610.01297v1 Announce Type: new Abstract: Ireland's smart metering programme records electricity use at 30-minute resolution, with smart meters installed in over 80\% of households as of late 2025. While this is us…
- arXiv cs.AIresearchDAYJOB: A Benchmark for Long-Horizon Professional Work
arXiv:2610.01306v1 Announce Type: new Abstract: Professional work often starts with a brief request that leaves the professional to work out what is needed, which documents matter, and whether the request's premise holds…
- arXiv cs.AIresearchProtoFlow: Prototype-Guided Flow Matching for Multivariate Time Series Forecasting
arXiv:2610.01320v1 Announce Type: new Abstract: Generative modeling has shown strong promise for multivariate time mseries (MTS) forecasting, especially scale to high-dimensional settings. Diffusion-based methods achieve…
- arXiv cs.AIresearchTRACE: Trajectory Return Attribution and Contrastive Erasure for Multi-Turn Safety
arXiv:2610.01323v1 Announce Type: new Abstract: Safety-aligned large language models (LLMs) often refuse a harmful request but comply once the same goal is spread over several turns. Preference objectives score whole res…
- arXiv cs.AIresearchPPO-HRAP: Proximal Policy Optimization with a Hybrid Regime-Aware Policy for Risk-Controlled Trading
arXiv:2610.01325v1 Announce Type: new Abstract: Reinforcement learning for trading often struggles to balance upside participation with drawdown control. Profit-only policies can collapse toward passive long exposure on…
- arXiv cs.AIresearchAn ontology for cross-sectoral crisis management: core and public health modules
arXiv:2610.01326v1 Announce Type: new Abstract: This paper presents the European Crisis Management Ontology (ECMO), a modular OWL-based ontology intended as a cross-sectoral reference for disaster risk reduction and resp…
- arXiv cs.AIagentsVerify Claims, Not Scores: Evidence-Based Verification of Modular Agents
arXiv:2610.01348v1 Announce Type: new Abstract: When developers change one component of an agent, such as its controller, a learned model or its verifier, they usually judge the change by an aggregate task score. That sc…
- arXiv cs.AIresearchGeneration Provenance Before Behavior Attribution: Auditing Synthetic Speech Research Objects
arXiv:2610.01378v1 Announce Type: new Abstract: Attributing model behavior to synthetic training data requires knowing what produced each training item before estimating what that item caused. A waveform-label pair does…
- arXiv cs.AIresearchGacha Decoding: Eliciting Diverse Generations Through Instruction Following
arXiv:2610.01382v1 Announce Type: new Abstract: We introduce Gacha Decoding, an inference-time method for eliciting diverse language model generations that scales with model capability. Across open-ended domains (in-the-…
- arXiv cs.AIresearchPRISM: A Category-Theoretic Framework for Measuring and Refining Multimodal Analogies
arXiv:2610.01383v2 Announce Type: replace Abstract: Analogical reasoning involves identifying and preserving relational structures across domains. However, existing approaches to AI-driven multimodal analogy generation l…
- arXiv cs.AIresearchAiSearch: Interactive Multi-Modal Search with VLMs
arXiv:2610.01389v1 Announce Type: new Abstract: Modern retrieval systems must both be automated and interactive, allowing users to search and refine results in real time. We present AiSearch, a flexible multimodal retrie…
- arXiv cs.AIresearchContrastive Attention Mitigates Spectral Bias in Spiking Transformers
arXiv:2610.01403v1 Announce Type: new Abstract: Spiking Transformers merge the energy-efficiency of spiking neural networks (SNNs) with the representational power of self-attention, creating a promising architecture for…
- arXiv cs.AIagentsBeyond Memory: Harnessing Long-Horizon Agents with Explicit Belief States
arXiv:2610.01415v1 Announce Type: new Abstract: Large language model (LLM) agents can now undertake increasingly complex tasks, but the way they organize interaction history into memory does not ensure a coherent underst…
- arXiv cs.AIresearchSpikeMoE: Brain-Inspired Competitive Routing for Flexible Spiking Mixture-of-Experts
arXiv:2610.01418v2 Announce Type: replace Abstract: Spiking Neural Networks (SNNs) enable event-driven computation through biologically inspired dynamics at the neuronal scale, while Mixture-of-Experts (MoE) perform cond…
- arXiv cs.AIresearchA Deterministic and Auditable AI Security Risk Assessment Framework with ATLAS Aligned Executable Rules and Formal Verification
arXiv:2610.01436v1 Announce Type: new Abstract: Artificial intelligence systems are increasingly deployed in high impact and safety critical settings, yet security assessment remains difficult to reproduce and defend und…
- arXiv cs.AIresearchDRelay: Global Draft Context for Prefix-Aware Parallel Speculative Decoding Repair
arXiv:2610.01439v1 Announce Type: new Abstract: Parallel drafting reduces the drafting overhead of speculative decoding for large language models (LLMs), but its gains remain limited by the accepted prefix length. Even w…
- arXiv cs.AIagentsA Multi-Agent LLM Framework for Personalized Health Checkup Interpretation and Guidance
arXiv:2610.01451v1 Announce Type: new Abstract: Personalized interpretation of health checkup results requires reasoning across longitudinal records, medical knowledge, lifestyle guidance, and healthcare navigation. We p…
- arXiv cs.AIresearchRethinking Probability-Based Reinforcement Learning From Posterior Concentration
arXiv:2610.01458v3 Announce Type: replace Abstract: Verifier-free reinforcement learning with probability-based rewards offers a promising way to train LLMs on general reasoning tasks where external verifiers are unavail…
- arXiv cs.AIresearchNextMe-800: Anticipating Personal Behavior from Months of Egocentric Video
arXiv:2610.01461v1 Announce Type: new Abstract: We often plan ambitiously yet act habitually and wonder, in retrospect, whether we would have planned differently had we known what we would actually do. Hindsight offers a…
- arXiv cs.AIresearchAuditing Routing Entropy as an Uncertainty Signal in Attention-Residual Transformers
arXiv:2610.01495v1 Announce Type: new Abstract: Dynamic architectures leave a per-example routing trace beside each prediction, and diffuse routing is easy to read as a sign that the prediction is unreliable. We audit th…
- arXiv cs.AIagentsOpenMTB-Audit: Exposing Over-Refusal and Clinical Expert Perspectives in LLM-Based Molecular Tumor Board Safety Evaluation
arXiv:2610.01497v1 Announce Type: new Abstract: Molecular tumor boards integrate genomic findings, clinical context, and therapeutic evidence to support precision oncology. As AI enters this workflow, a key safety challe…
- arXiv cs.AIagentsMCRI: A Four-Dimensional Framework for Analyzing and Evaluating Agent Skills
arXiv:2610.01506v1 Announce Type: new Abstract: As agents evolve from single-tool systems into modular, composite architectures, skills are becoming an important mechanism for capability development and distribution. How…
- arXiv cs.AIresearchSharpening Tax in Post-Training
arXiv:2610.01509v1 Announce Type: new Abstract: An emerging hypothesis about reinforcement learning (RL) post-training of large language models (LLMs) is that it merely sharpens existing behaviors of a base model, improv…
- arXiv cs.AIresearchDecision Titan: Test-Time Training for Long-Term Memory in Offline Reinforcement Learning
arXiv:2610.01513v1 Announce Type: new Abstract: Long-term dependencies remain a major challenge for sequential decision-making in the field of AI: RNNs suffer from vanishing gradients and the limited expressivity of vect…
- arXiv cs.AIagentsTowards Reliable Vision-Language Models for Autonomous Driving
arXiv:2610.01531v1 Announce Type: new Abstract: Vision-Language models (VLMs) are increasingly being explored in autonomous driving for tasks such as scene understanding, driving reasoning, decision-making, and end-to-en…
- arXiv cs.AIresearchNeither Black nor White: Balancing Semantic and Collaborative Signals with Graph-Informed Semantic IDs (GrIS)
arXiv:2610.01533v1 Announce Type: new Abstract: Existing work on Semantic IDs (SIDs) for generative recommendation treats SID construction as a representation learning problem: encode items into a quantised latent space…
- arXiv cs.AIresearchThe AI Assessment Sandbox Configurator: A Framework to Support Technical Assessment in AI Regulatory Sandboxes
arXiv:2610.01539v1 Announce Type: new Abstract: The EU's Artificial Intelligence Act requires all Member States to establish AI Regulatory Sandboxes (AIRS) by August 2027: supervised environments bringing together nation…
- arXiv cs.AIagentsEvaluating Physical Consistency and Plausibility in Generative Scenario Models for Autonomous Driving
arXiv:2610.01581v1 Announce Type: new Abstract: Generative AI models are increasingly used for scenario generation in autonomous driving. While they can generate realistic-looking scenarios, they often provide limited tr…
- arXiv cs.AIagentsAgents Are Systems, Not Models: Rethinking Agentic Evaluation
arXiv:2610.01618v1 Announce Type: new Abstract: Agent evaluations increasingly go beyond a single success rate, reporting metrics such as cost, consistency, and robustness. Yet they typically treat the agent itself as fi…
- arXiv cs.AIresearchFedLore: Communication and Memory Efficient Federated Learning via Shared Gradient Low-Rank Projection
arXiv:2610.01620v1 Announce Type: new Abstract: Federated training of foundation models is constrained by client memory and communication costs. LoRA-based methods reduce these costs through low-rank adapters, but their…
- arXiv cs.AIresearchMeasuring the Stability Assumption Behind Action Chunking
arXiv:2610.01626v1 Announce Type: new Abstract: Action chunking improves the performance of policies learned by behavioural cloning, and several mechanisms have been proposed to explain why, including temporal consistenc…
- arXiv cs.AIresearchCoEvolve: Construct-to-Edit Visual Grounding with Bidirectional State Refinement
arXiv:2610.01710v1 Announce Type: new Abstract: Visual grounding localizes an object described by language with a bounding box. Most multimodal grounding models compress target identification, spatial reasoning, and boun…
- arXiv cs.AIresearchvFedProtoQNAS: Prototype-Guided Personalized Quantum Neural Architecture Search for Virtual Federated Learning
arXiv:2610.01718v1 Announce Type: new Abstract: Quantum federated learning (QFL) has emerged as a promising approach for collaboratively training compact quantum neural networks (QNNs) over distributed private data on re…
- arXiv cs.AIresearchTopK-Guided: Adaptive, Budget-Aware Activation Sparsity for Efficient LLM Inference
arXiv:2610.01763v1 Announce Type: new Abstract: Activation sparsity speeds up large language model (LLM) inference by setting unimportant activations to zero so that the corresponding computations can be skipped. Existin…
- arXiv cs.AIagentsVideoEvolve: Evolving Agent Harnesses for Video Temporal Grounding
arXiv:2610.01766v1 Announce Type: new Abstract: Video temporal grounding aims to localize events in videos from natural-language queries. For agents built around frozen video-language models, the harness determines how q…
- arXiv cs.AIresearchRealCompanion: Benchmarking Human Understanding from Reasoning over Longitudinal Real-World Conversations
arXiv:2610.01780v3 Announce Type: replace Abstract: An AI companion that talks with someone for months should come to understand them. It should know who they are, remember what they said, and recognize when something fr…
- arXiv cs.AIresearchQ-Learning for Reachability in MEC-Free MDPs
arXiv:2610.01781v1 Announce Type: new Abstract: Reinforcement learning (RL) for reachability specifications is fundamental to sequential decision-making. Prior work establishes asymptotic convergence to optimal policies,…
- arXiv cs.AIagentsNot All Experience Belongs in the Weights: Component Routing for Self-Improving GUI Agents
arXiv:2610.01787v1 Announce Type: new Abstract: Self-improving GUI agents keep the trajectories they produce and return them to the agent, by fine-tuning or by retrieval into the prompt, and studies that compare the two…
- arXiv cs.AIresearchLineupRL: Verifiable Reinforcement Learning for Time Series Captioning via Caption-to-Series Identification
arXiv:2610.01800v1 Announce Type: new Abstract: Time series captioning is a fundamental step in time series understanding and can also serve as the bridge between signal and natural language. Supervised fine-tuning (SFT)…
- arXiv cs.AIresearchAI-assisted mitotic counting improves reproducibility and efficiency across multiple tumour types
arXiv:2610.01813v1 Announce Type: new Abstract: Mitotic counting is an important component of tumour grading, diagnosis and prognostic assessment across several tumour types, but manual assessment is time-consuming and s…
- arXiv cs.AIagentsContinuous Process-Level Evaluation for Evolving Enterprise AI Agent Skills
arXiv:2610.01833v1 Announce Type: new Abstract: Enterprise AI agent skills evolve as tool APIs, models, and specifications change, yet final-output evaluation can miss process-level behavioral drift. We present a continu…
- arXiv cs.AIagentsCode Owns the Simulation, Jev Owns the Evaluation
arXiv:2610.01834v2 Announce Type: replace Abstract: Judgment models such as \jev{} return, in a single call and without reasoning text, a probability for each described option. This makes them attractive as an agent's ac…
- arXiv cs.AIresearchOn the Divergence of Accuracy and Mechanism Consistency in Time Series World Models
arXiv:2610.01842v1 Announce Type: new Abstract: A time series world model (TSWM) predicts a controlled system's state from its observed history and planned actions and exogenous inputs. Current approaches build forecaste…
- arXiv cs.AIresearchTemporal-Difference Learning for Dragonchess
arXiv:2610.01845v1 Announce Type: new Abstract: Our research investigates how two adaptive AI methods, evolutionary transfer learning and TD(lambda), perform in the three-dimensional chess environment Dragonchess. The ga…
- arXiv cs.AIresearchAVSD-Scenes: A Dataset for Audio-Visual Description of Urban Scenes
arXiv:2610.01861v1 Announce Type: new Abstract: Natural language descriptions can provide rich semantic representations of audio-visual urban scenes, yet datasets that jointly describe both auditory and visual informatio…