AI news archive.
19,864 articles, newest first, from the outlets listed on the sources page.
- arXiv cs.AIresearchRethinking Knowledge Retrieval for Generation: A Survey on RAG Architectures and Applications
arXiv:2610.01936v2 Announce Type: replace Abstract: Large Language Models (LLMs) have demonstrated remarkable fluency and versatility across natural language tasks but remain fundamentally limited by their static knowled…
- arXiv cs.AIresearchCounterfactual Auditing of Bias in Open-Source Large Language Models for Clinical Triage
arXiv:2610.01963v1 Announce Type: new Abstract: Emergency department (ED) triage is a high-stakes prioritization task in which demographic, socioeconomic, and system-context information may improperly influence acuity as…
- arXiv cs.AIresearchCan AI Oversight Be Zero Knowledge?
arXiv:2610.01995v1 Announce Type: new Abstract: AI systems increasingly produce outputs from confidential data, such as a fitness-for-duty assessment from medical records or the predicted properties of a drug candidate f…
- arXiv cs.AIagentsMingbird: A Local-First Agent Harness Enabling Small Open Models to Complete Real Tasks
arXiv:2610.02001v1 Announce Type: new Abstract: Small open-weight models (2-9B) run on ordinary laptops, but under cloud-scale agent harnesses they rarely complete real tasks: tool prefill overflows the context, self-cor…
- arXiv cs.AIresearchCounting Moves, Weighing Voices: Bayesian Dialectical Argumentation for Calibrated Multi-LLM Councils under Persistent Adversaries
arXiv:2610.02005v1 Announce Type: new Abstract: A multi-LLM \emph{council} lets several large language models (LLMs) deliberate on a question and return an answer together with a confidence estimate. As these systems bec…
- arXiv cs.AIresearchAtoms to Processes: The Role of Artificial Intelligence and Machine Learning in Chemical Engineering
arXiv:2610.02014v1 Announce Type: new Abstract: The rapid maturation of artificial intelligence (AI) and machine learning (ML) has catalyzed a profound shift in how chemical engineering problems are formulated, analyzed,…
- arXiv cs.AIresearchSPHERE: Adaptive VR Indoor Scene Generation via LLM-Enhanced Spatial Preference Learning and Human-in-the-Loop RL
arXiv:2610.02023v1 Announce Type: new Abstract: While Large Language Models (LLMs) advance 3D indoor scene synthesis, current pipelines fail to retain user-specific preferences across sessions, making immersive authoring…
- arXiv cs.AIagentsGlobal Coherence: When Every Agent Is Right and the Team Is Still Wrong - A Local-to-Global Semantic Foundation for Multi-Agent Collaboration
arXiv:2610.02036v2 Announce Type: replace Abstract: AI agents can each make locally valid decisions yet jointly produce an invalid result. We call this the global coherence problem: a failure of shared state, not merely…
- arXiv cs.AIagentsMimir: Physics-Grounded LLM Agents for Long-Horizon Irrigation Control
arXiv:2610.02038v1 Announce Type: new Abstract: Large language model (LLM) agents increasingly combine reasoning, tool use, and action, but most evidence comes from episodic tasks with relatively immediate feedback and r…
- arXiv cs.AIresearchHydroJEV: A one-second, training-free screen for cyber-attack and fault attribution in water distribution networks
arXiv:2610.02048v1 Announce Type: new Abstract: When a SCADA alarm is raised in a water distribution network, operators must decide quickly whether it reflects a cyberattack, a physical fault, a normal transient or a fau…
- arXiv cs.AIresearchExternal Observers May See More Clearly: Cross-Model Span-Level Hallucination Detection in Large Language Models via Hidden State Probing
arXiv:2610.02066v1 Announce Type: new Abstract: As Large Language Models (LLMs) increasingly serve as foundational reasoning engines, their tendency to hallucinate remains a critical vulnerability. While recent internal…
- arXiv cs.AIresearchCausal Memory Policy: Making Memory Utility Identifiable by Intervening on Retrieval
arXiv:2610.02070v3 Announce Type: replace Abstract: Memory-augmented large language models must decide which memories to retain, and recent systems do so by estimating each memory's effect on task performance. However, t…
- arXiv cs.AIagentsPyPottery: an AI-powered end-to-end suite for pottery processing and publication
arXiv:2610.02072v1 Announce Type: new Abstract: The study of ceramic materials constitutes a cornerstone of archaeological research, yet the post-production workflow for pottery documentation remains labor-intensive and…
- arXiv cs.AIresearchHomomorphic Advantage Operator: Stabilizing Reinforcement Learning Under Fully Homomorphic Encryption Constraints
arXiv:2610.02074v1 Announce Type: new Abstract: Privacy-preserving machine learning presents significant deployment challenges on the cloud for intelligent systems with confidential data. Fully Homomorphic Encryption (FH…
- arXiv cs.AIresearchA Comparative Explainability Framework for DeBERTa-v3 in Zero-Shot Medical Abstract Classification
arXiv:2610.02116v1 Announce Type: new Abstract: A comparative explainability framework is presented to audit DeBERTa-v3 under zero-shot classification of medical abstracts. The work addresses the disagreement problem in…
- arXiv cs.AIresearchVISTA: A Visual Harness for Reasoning in an Interactive World
arXiv:2610.02200v1 Announce Type: new Abstract: We show that multimodal models possess strong reasoning abilities and that an appropriate harness can unlock their potential to solve tasks across diverse interactive envir…
- arXiv cs.AIresearchScholarCatalyst: A Benchmark for Retrieving Papers That Inspire New Research
arXiv:2610.02202v1 Announce Type: new Abstract: What makes great scientists great? Even as AI systems start to make progress on open problems, scientists remain far ahead of them at sensing which prior idea, buried in an…
- arXiv cs.AIresearchNew Snake-in-the-Box Records via Snakepit Surgery and Learned Construction
arXiv:2607.15270v3 Announce Type: cross Abstract: The snake-in-the-box problem asks for a longest induced path in the hypercube graph $Q_n$. We find a length-191 snake in dimension $n=9$, the lowest dimension where the m…
- arXiv cs.AIresearchSTATERA: Hidden Mass Estimation via Zero-Shot Sim-to-Real Kinematics using Frozen Temporal Tubelets
arXiv:2610.00003v1 Announce Type: cross Abstract: Vision models pretrained for frame-level appearance often struggle to infer hidden physical properties from motion. We study center-of-mass (CoM) localization for opaque,…
- arXiv cs.AIresearchOn-Device Named-Entity Recognition: A Deployability Study of Accuracy, Cost, Reliability, and Confidence
arXiv:2610.00007v1 Announce Type: cross Abstract: Named-entity recognition (NER) is increasingly wanted on-device (no API, low latency, data kept local). The practitioner's question is not the leaderboard but which model…
- arXiv cs.AIresearchBounded-Fidelity Sim-as-Demo-Stage: Mocap Handoff for Governance Benchmarks
arXiv:2610.00008v1 Announce Type: cross Abstract: Sim-to-real research pursues physics fidelity as a primary objective: simulators are judged by how closely they reproduce real-world contact dynamics. For governance benc…
- arXiv cs.AIresearchSpatial Lifting for Dense Prediction
arXiv:2610.00017v1 Announce Type: cross Abstract: We present Spatial Lifting (SL), a novel methodology for dense prediction tasks. SL operates by lifting standard inputs, such as 2D images, into a higher-dimensional spac…
- arXiv cs.AIagentsThe Delegation Danger Band: Why Mid-Capability Sub-Agents Over-Trust Inherited Stale State
arXiv:2610.00041v1 Announce Type: cross Abstract: Agent frameworks increasingly delegate work by forking sub-agents; a common default makes the child inherit the parent's full working context. We measure how the effect o…
- arXiv cs.AIresearchSW-KAN: Kolmogorov-Arnold Networks with Stieltjes-Wigert q-Orthogonal Polynomials
arXiv:2610.00050v1 Announce Type: cross Abstract: Kolmogorov-Arnold Networks (KANs) represent a paradigmatic shift in deep learning by replacing fixed node activations with learnable univariate functions on edges, offeri…
- arXiv cs.AIresearchAsk a Language Model for Lottery Numbers: Concentration in Repeated Six-of-49 Outputs
arXiv:2610.00052v1 Announce Type: cross Abstract: We evaluate six language-model configurations on requests for six distinct random integers from 1-49. Across 1,200 attempted calls using four English prompt variants, 1,1…
- arXiv cs.AIresearchThe First Token Is Not the Verdict: Hidden Costs of Reading LLM Judges Without Generating
arXiv:2610.00054v1 Announce Type: cross Abstract: Reading an LLM judge's verdict from the logits of its first generated token is cheap, requires no generation, and is exactly what constrained decoding and likelihood-scor…
- arXiv cs.AIresearchPushing CPU Speech Synthesis to the Wall: Extreme Inference Tuning under Serverless Architecture and Billing
arXiv:2610.00063v1 Announce Type: cross Abstract: Instance-billed serverless platforms charge for CPU and memory over the lifetime of a warm instance, making idle inference state a direct serving cost. We present billing…
- arXiv cs.AIresearchProbabilistic Plan Legibility with Off-the-shelf Planners
arXiv:2610.00065v1 Announce Type: cross Abstract: Legible planning is the creation of plans that best disambiguate their goals from a set of other candidates from an observer's perspective. In this paper we propose a met…
- arXiv cs.AIresearchA Framework for Egocentric and Exocentric Procedural Understanding via Temporal Segmentation and Semantic Abstraction
arXiv:2610.00069v1 Announce Type: cross Abstract: Long-horizon ego/exo data contains rich procedural evidence, but are redundant, noisy, and costly to process or retain. We propose a compact framework that converts conti…
- arXiv cs.AIresearchLegal text classification in Korean sexual offense cases: from traditional machine learning to large language models with XAI insights
arXiv:2610.00087v1 Announce Type: cross Abstract: The advancement of natural language processing (NLP) has expanded AI-based text classification in the legal domain. However, accurately classifying legal documents remain…
- arXiv cs.AIagentsBudgetSchemaBench: A Budget-Swept Diagnostic for Schema Context in Text-to-SQL
arXiv:2610.00092v1 Announce Type: cross Abstract: Data agents over structured sources must fit database schema into the model's context window. Large catalogs can span many databases and thousands of columns, so cost con…
- arXiv cs.AIagentsSafety in Self-Evolving Agents: A Survey
arXiv:2610.00093v1 Announce Type: cross Abstract: Large language models (LLMs) exhibit strong general capabilities, yet their parameters typically remain fixed after deployment, limiting learning from new interactions. I…
- arXiv cs.AIagentsNous: Learning and Certifying Memory Decisions Before Source Calibration
arXiv:2610.00094v2 Announce Type: replace-cross Abstract: Agent memory systems update state decisions from reports whose reliability may be unknown. Existing analyses of source estimation do not determine when a policy c…
- arXiv cs.AIagentsA Verifier Can Leak the Answer: Diagnosability Before Optimization in Closed-Loop Agent Debugging
arXiv:2610.00126v1 Announce Type: cross Abstract: Agent developers increasingly compare prompts, tools, policies, and diagnosis algorithms through simulator-grounded verifiers. A verifier can nevertheless make a solver c…
- arXiv cs.AIagentsThe Cognitive Continuity Test: Verifying Governed State Transitions in Persistent AI Agents
arXiv:2610.00132v1 Announce Type: cross Abstract: Persistent AI agents revise beliefs, consolidate memory, and replace execution substrates. Similar successor states can accompany differently authorized transition claims…
- arXiv cs.AIresearchMulti-Behavioral Evolved Substrates Through Neuromodulation and Activation Selection
arXiv:2610.00148v1 Announce Type: cross Abstract: Open-ended artificial life systems must acquire diverse competencies from a single evolving genotype. Biological brains combine neuromodulation, which reconfigures circui…
- arXiv cs.AIresearchPer-Node Activation Function Evolution in Indirectly Encoded Substrates: Solvability, Limits, and Emergent Diversity
arXiv:2610.00149v1 Announce Type: cross Abstract: Biological neurons achieve computational diversity through specialized types: tonic, bursting, adapting, and fast-spiking cells coexist within the same circuit. Artificia…
- arXiv cs.AIresearchWhen the AI Leaves the Tailorshop: Measuring What an LLM Advisor Leaves Behind in Complex Problem Solving
arXiv:2610.00163v1 Announce Type: cross Abstract: Complex problem solving depends on acting effectively and understanding how a system works. AI advice may support these outcomes unequally. Two preregistered experiments…
- arXiv cs.AIresearchFour Ways to Grow a Classifier and Why One of Them Cannot Learn
arXiv:2610.00180v2 Announce Type: replace-cross Abstract: Constructive classifiers add structure while they train: a level to a tree, a unit to a hidden layer, a split at a leaf. This paper asks what each of four such gr…
- arXiv cs.AIresearchWhite Men Without Degrees Receive the Lowest Ratings from Large Language Models
arXiv:2610.00185v1 Announce Type: cross Abstract: White men without an undergraduate degree receive the lowest average ratings among eight gender-race-education groups in controlled large-language-model evaluations of cr…
- arXiv cs.AIresearchShatterQuant: Breaking Uniform Precision with Block-Wise Mixed-Precision on a Systolic Transformer Hardware Accelerator
arXiv:2610.00207v1 Announce Type: cross Abstract: Due to limited support for intra-tensor heterogeneous precision in conventional accelerators, neural network quantization remains largely restricted to per-tensor precisi…
- arXiv cs.AIresearchUseful to Whom? The Easy-versus-Coverage Boundary Moves with the Learner
arXiv:2610.00221v2 Announce Type: replace-cross Abstract: Is the same data equally useful to every learner? The question is whether the value of a training sample belongs to the sample or arises in its interaction with t…
- arXiv cs.AIagentsCAVE-Mem: Boundary-Aware Experience Validation for Memory Search
arXiv:2610.00238v1 Announce Type: cross Abstract: Long-term memory agents increasingly rely on it- erative search and reusable experience to answer questions over large personal, factual, or narrative histories. However,…
- arXiv cs.AIagentsSigned Lexical Confidence for Risk-Calibrated Intent Routing
arXiv:2610.00262v1 Announce Type: cross Abstract: Selective intent routing allows an assistant to act on reliable predictions while deferring uncertain requests. Standard confidence scores primarily reflect the base mode…
- arXiv cs.AIresearchPartial AUC Maximization from Positive-unlabeled Data
arXiv:2610.00284v1 Announce Type: cross Abstract: The partial area under the receiver operating characteristic curve (pAUC) is an important performance metric for binary classification that summarizes true positive rates…
- arXiv cs.AIresearchMulti-Jurisdictional Legal Identity Assurance for Capability Gating: A Design-Science Proposal for Tiered, Reusable Identity Assurance of Natural, Juridical, and Machine Entities
arXiv:2610.00287v1 Announce Type: cross Abstract: Identity assurance is the cost a digital system pays for dishonesty and uncertainty: it exists to make acts attributable when not everyone can be trusted at their word. A…
- arXiv cs.AIresearchLENS-GRF: Permutation-Invariant Lesion Evidence Network with Gated Residual Fusion for Acne Severity Grading and Multi-Rater Clinical Oracle Analysis
arXiv:2610.00294v1 Announce Type: cross Abstract: Automated acne severity grading requires both whole-face context and fine-grained lesion evidence. We propose LENS-GRF (Lesion Evidence Network with Set-Transformer and G…
- arXiv cs.AIresearchCertainty Is Not Just Correctness: Rethinking Token-Level Certainty in LLM Reasoning
arXiv:2610.00296v1 Announce Type: cross Abstract: Token-level certainty is widely used as a proxy for correctness in LLM training and inference. However, the performance of certainty-based methods depends both on the inf…
- arXiv cs.AIresearchDecoding the Disaster: Multi-Task Geospatial Reasoning with Vision-Language Models and Crowdsourced Imagery for Disaster Mapping
arXiv:2610.00302v1 Announce Type: cross Abstract: Crowdsourced imagery provides timely, fine-grained, street-level observations for disaster mapping, complementing conventional remote sensing imagery (RSI) during emergen…
- arXiv cs.AIresearchTokenized Key-Gated Adapter Routing: A Secure Access Control Mechanism Against Private Data Leakage in LLMs
arXiv:2610.00309v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly deployed in privacy-critical domains (e.g., healthcare, finance, and government), but their propensity to memorize and discl…