AI news archive.
10,659 articles filed under Research, newest first, from the outlets listed on the sources page.
- AI Stack ExchangeresearchHow do you use alpha-beta pruning for expectiminimax?
I have this problem above and I'm trying to think of how to apply alpha-beta pruning to it. The algorithm states that on your opponent’s turn (the expecti turn) you just return the lowest value; but does that mean you ap…
- TechRadar AIresearchNew report claims AI is helping create jobs in UK businesses, as workers can't get enough of it
Mainstream AI news from a large tech publication.
- TechRadar AIresearchThe real test for physical AI starts after the pilot
Mainstream AI news from a large tech publication.
- MIT Technology Review AIresearchAI breakthroughs in robotics won’t change your life any time soon
The story is a collaboration between MIT Technology Review and Aventine, a non-profit research foundation that creates and supports content about how technology and science are changing the way we live. A robot shaped li…
- arXiv cs.AIresearchAccelerating Floating-Point Satisfiability Solving via Gradient Normalization
arXiv:2610.08808v1 Announce Type: new Abstract: Satisfiability Modulo Theories (SMT) solvers are foundational to software verification, program analysis, and compiler testing, particularly over the theory of Quantifier-F…
- arXiv cs.AIresearchRoute-Verify-Vote: Procedure-Conditioned Self-Consistency for Mixed-Domain Reasoning
arXiv:2610.08814v1 Announce Type: new Abstract: Compositional generalization remains challenging when language models must combine familiar reasoning operations in unfamiliar ways. The Scenario-Based Commonsense Reasonin…
- arXiv cs.AIresearchHow Could AI Eliminate Humanity? A Failure-Mode Analysis of Civilizational Risk
arXiv:2610.08878v1 Announce Type: new Abstract: This article develops a failure-mode framework for analyzing how advanced artificial intelligence could contribute to human extinction, irreversible civilizational collapse…
- arXiv cs.AIresearchAdaGuard: Enhancing Safety and Policy Compliance with Reasoning-Enabled LLM-As-A-Judge Guardrails
arXiv:2610.08923v1 Announce Type: new Abstract: Enterprise generative AI applications require robust safety mechanisms that can accommodate diverse risk postures, evolving policies, and varying latency constraints. Curre…
- arXiv cs.AIresearchHumanity's Sixth Sense: Benchmarking Intuitive Visual Reasoning in Multimodal Models
arXiv:2610.08966v2 Announce Type: replace Abstract: Humans perceive far more in a scene than what is explicitly depicted: a single glance captures past causes and future trajectories; a quick peek determines if a vehicle…
- arXiv cs.AIresearchSocio-Foundation: A Model for Generalizable Individual Behavior Simulation via Hierarchical Capability Distillation
arXiv:2610.08967v1 Announce Type: new Abstract: Simulating individual behavior requires large language models (LLMs) to preserve persona traits while adapting to dynamic social contexts. However, general-purpose LLMs oft…
- arXiv cs.AIresearchSigma-Hunter: A Domain-Specific Language Model for Threat Hunting and Detection Engineering
arXiv:2610.09007v1 Announce Type: new Abstract: Detection engineers must translate threat reports, forensic observations, and hunt hypotheses into precise, testable rules. General-purpose large language models (LLMs) can…
- arXiv cs.AIresearchEnabling Dynamic Computation in Looped LMs
arXiv:2610.09013v1 Announce Type: new Abstract: Looped LMs are parameter efficient and promise dynamic computation (saving memory and FLOPs on easy tokens). However, state-of-the-art open Looped LMs trained with this dyn…
- arXiv cs.AIresearchPAIR: Bridging Perception and Action in Vision-Language-Action Models
arXiv:2610.09016v1 Announce Type: new Abstract: Vision-language-action (VLA) models map visual observations and language instructions to continuous robot actions. This task requires a transition from representations that…
- arXiv cs.AIresearchBEACON-SP: Ontology-Grounded GraphRAG Framework for Clinical Suicide Risk Assessment
arXiv:2610.09026v1 Announce Type: new Abstract: We present BEACON-SP, an ontology-grounded Graph Retrieval-Augmented Generation (GraphRAG) framework for clinician-facing decision support in behavioral health settings suc…
- arXiv cs.AIresearchFrom High Recall to High Utility: Dataset-Adaptive Post-Processing of LLM-Generated Customer Intents
arXiv:2610.09039v1 Announce Type: new Abstract: Large language models can extract useful signals from heterogeneous enterprise data, but high-recall extraction often produces outputs that are duplicated, uneven in granul…
- arXiv cs.AIresearchJustice After Identity: Large Language Models and the View from Everywhere
arXiv:2610.09053v1 Announce Type: new Abstract: The search for a common view of justice and fairness has challenged human collective activity, as our diverging judgments are unavoidably shaped by the self-interests of so…
- arXiv cs.AIresearchEpistemic Uncertainty-Aware Defect Detection for Quality Control in Medical Device Manufacturing
arXiv:2610.09057v1 Announce Type: new Abstract: Objective: We investigate whether accounting for epistemic uncertainty can improve the reliability of automated defect detection in medical device manufacturing. Methods: W…
- arXiv cs.AIresearchBreaking the Space Barrier and its Application to Language Model Inference
arXiv:2610.09139v1 Announce Type: new Abstract: Language models are more and more often asked for structured output: JSON that follows a schema, or a tool call with typed arguments. A small machine, an automaton, enforce…
- arXiv cs.AIresearchFinding Side-Effect Loopholes in Verifiable Rewards
arXiv:2610.09142v2 Announce Type: replace Abstract: In reinforcement learning with verifiable rewards, a benchmark's verifier supplies the reward. Reward-hacking audits mostly look for runs that pass without doing the ta…
- arXiv cs.AIresearchDIVA: Dual-Space Intent-Aware Visual Attenuation for Vision-Language-Action Policies
arXiv:2610.09144v1 Announce Type: new Abstract: Vision-language-action (VLA) policies typically feed dense visual patch tokens into a language-action backbone, preserving scene context but offering no explicit mechanism…
- arXiv cs.AIresearchFrozen Models, Evolving Expertise: Model-Agnostic Learning from Deployment Experience for Multimodal Medical AI
arXiv:2610.09146v2 Announce Type: replace Abstract: Large language models (LLMs) and vision-language models (VLMs) are usually frozen after deployment, so they do not learn from the cases they solve. This is especially c…
- arXiv cs.AIresearchTraining Language Models To Be Coherent Decision-Makers
arXiv:2610.09164v1 Announce Type: new Abstract: Reliable decision-making requires more than accurate prediction: a model must preserve its beliefs, apply the relevant utilities, and recognize when the information needed…
- arXiv cs.AIresearchFrom Probabilities to Decisions: Search and Multi-Teacher Distillation with Jev
arXiv:2610.09188v1 Announce Type: new Abstract: Probability-only models, which TypeSafe calls System One models, return calibrated probabilities for fixed choices in milliseconds and generate no text. We study one such m…
- arXiv cs.AIresearchFew Bits, One Law: Toward W2A4KV2
arXiv:2610.09202v1 Announce Type: new Abstract: Extreme low-bit LLM compression is most challenging when weights, activations, and KV caches are quantized together: their distributions differ, and quantization errors int…
- arXiv cs.AIresearchAGAR: a reinforcement learning substrate for LLM program evolution
arXiv:2610.09215v1 Announce Type: new Abstract: Given a task and an evaluator, a language model can rewrite a candidate program while a search loop decides which rewrites survive, offering a practical route to algorithm…
- arXiv cs.AIresearchCM-DPO: Constraint-Margin Direct Preference Optimization for LLM Planning
arXiv:2610.09219v1 Announce Type: new Abstract: Direct Preference Optimization (DPO) treats all constraint violations equally: a $1 budget overshoot and a $1,000 overshoot induce the same training signal. It is also susc…
- arXiv cs.AIresearchThe Winner's Curse in LLM Self-Improvement Loops: Selection Noise, Lock-in, and Acceptance Rules
arXiv:2610.09239v1 Announce Type: new Abstract: Self-improving LLM systems propose changes to themselves and keep those that score better on a small evaluation set. We treat this keep-if-better step as selection under me…
- arXiv cs.AIresearchThe AI Evaluation Ecosystem
arXiv:2610.09296v1 Announce Type: new Abstract: AI evaluation shapes the decisions of model providers, users, funders, and regulators. We argue that designing valid benchmarks requires contextualizing design choices in t…
- arXiv cs.AIresearchTopoGraphRAG-Bench: Evaluating Multimodal GraphRAG on Layout-Grounded Evidence Reasoning
arXiv:2610.09360v1 Announce Type: new Abstract: Real-world documents distribute evidence across text, tables, figures, and captions within complex page layouts. Answering complex questions over such documents therefore r…
- arXiv cs.AIresearchLet the Library Speak: Self-Advertised Method Selection for Formal Proving
arXiv:2610.09401v1 Announce Type: new Abstract: LLM-based formal provers can retrieve relevant lemmas and prior proofs, but relevance alone does not say whether a mathematical method can be used on the current theorem. A…
- arXiv cs.AIresearchEfficient Reasoning with Flow Language Models
arXiv:2610.09416v1 Announce Type: new Abstract: Flow Language Models (FLMs) have emerged as a continuous-state alternative to discrete diffusion language models, yet the role of their continuous representations in reason…
- arXiv cs.AIresearchLLM-Enabled UAV Dispatch: A System-Level Survey and Taxonomy
arXiv:2610.09466v1 Announce Type: new Abstract: Unmanned aerial vehicle (UAV) dispatch is beginning to move beyond isolated path planning and optimization-driven resource allocation toward system-level coordination suppo…
- arXiv cs.AIresearchThe Attribution Blind Spot: Layerwise Trajectory Diagnostics for Source Reliance in Retrieval-Augmented Language Models
arXiv:2610.09493v1 Announce Type: new Abstract: A retrieval-augmented model can match a document without relying on it. Controlled knowledge conflicts make source choice observable and let us ask a second question that p…
- arXiv cs.AIresearchCognitive Schemas, Laws and Tasks
arXiv:2610.09495v1 Announce Type: new Abstract: This paper asks how explicit representations can support reusable cognitive schemas in knowledge-based problem solving. We develop a structural framework in which schemas a…
- arXiv cs.AIresearchReliability of LLM Judges for Evaluating Entity Alignment
arXiv:2610.09554v2 Announce Type: replace Abstract: Entity Alignment (EA) identifies equivalent entities across knowledge graphs and is critical for knowledge base integration and ontology merging. Evaluating EA systems…
- arXiv cs.AIresearchDual- versus Single-Suggestion AI Support for Radiographic Interpretation in Residents: Randomized Multireader Study
arXiv:2610.09589v1 Announce Type: new Abstract: Purpose: To compare dual- and single-suggestion AI support for radiographic interpretation by residents, particularly when the shared AI suggestion was incorrect. Materials…
- arXiv cs.AIresearchSafeEvo: Deciphering the Safety Alignment Mechanism and Evolution in Language Models
arXiv:2610.09600v1 Announce Type: new Abstract: Safety interpretability advances the study of Large Language Model (LLM) alignment from behavioral constraints driven by data or algorithms towards a deeper understanding o…
- arXiv cs.AIresearchAutomatically Building and Updating a Knowledge Graph of MLIP Models
arXiv:2610.09644v1 Announce Type: new Abstract: Complementing the many efforts in providing semantic representations of concepts, notions, and entities in materials science, we report and illustrate a process by which we…
- arXiv cs.AIresearchA Tale of Two Error Categories: Exploring Concealed Trade-Offs in the Errors of Automated Judges in Evaluation of Uncertainty Quantifiers
arXiv:2610.09693v1 Announce Type: new Abstract: The wide adoption of LLMs across broad NLG applications heightens the importance of providing users with the means to avert errors and hallucinations. Uncertainty quantific…
- arXiv cs.AIresearchBolzano: From Expert-Guided Proof Search to Automated Open-Problem Solving
arXiv:2610.09769v2 Announce Type: replace Abstract: Large language models are increasingly contributing to mathematical research, where progress often depends on efficient proof search, incremental improvements and caref…
- arXiv cs.AIresearchThink Before You Paint: Recursive Latent Reasoning for Diffusion Models
arXiv:2610.09876v1 Announce Type: new Abstract: Diffusion models generate realistic images but often fail on visual reasoning tasks, such as filling in a Sudoku or drawing the path through a maze. When a discrete symboli…
- arXiv cs.AIresearchNL2Hull: A Natural Language-Driven Constrained Ship Design Decision Framework
arXiv:2610.09896v1 Announce Type: new Abstract: Ship-form design combines smooth geometric representation, local shape editing, and constraints on the resulting hull. We present the Natural-Language-to-Hull Framework (NL…
- arXiv cs.AIresearchWhere Can a Decision Model Diagnose HVAC Faults? Reasoning Demand, Physical Representation, and Robustness Under Shift
arXiv:2610.09937v1 Announce Type: new Abstract: Artificial intelligence supports building operations in several forms, each with its own barrier. Expert rules must be tuned for every system, supervised models need labele…
- arXiv cs.AIresearchSuccessive Training Stages and Large Language Model Persuasion: Effects of Misalignment, Supervised Fine-Tuning, and Preference Optimization
arXiv:2610.09964v1 Announce Type: new Abstract: Large language models (LLMs) can be tuned to influence human attitudes, yet the respective contributions of successive post-training stages remain un-clear. This study exam…
- arXiv cs.AIresearchWhat the Sleeve Feels: Explainable Machine Learning for Textile Pressure-Based Postural Screening
arXiv:2610.10015v1 Announce Type: new Abstract: Pressure-sensing smart textiles convert body-surface contact into a dense, image-like signal closely tied to posture and movement, making them a promising low-cost route to…
- arXiv cs.AIresearchGAGR-Lab: Evaluating Joint Spatial-Geometric and Analytic Function Reasoning
arXiv:2610.10201v1 Announce Type: new Abstract: Joint spatial-geometric and analytic function reasoning requires translating a perceived spatial configuration into a symbolic function whose executed curve satisfies geome…
- arXiv cs.AIresearchThe Handover Problem: Governing Autonomy Transitions in Human-AI Collaboration
arXiv:2610.10352v1 Announce Type: new Abstract: Human-machine systems rarely operate at a fixed level of AI autonomy. As operators and AI systems collaborate over time, control must shift: the AI can take on more respons…
- arXiv cs.AIresearchOpen-MMUnlearning: Unifying Methods and Evaluation for MLLM Unlearning
arXiv:2610.10358v2 Announce Type: replace Abstract: As multimodal large language models (MLLMs) become more capable and widely deployed, concerns about privacy and safety have become increasingly pressing. Machine unlear…
- arXiv cs.AIresearchReasoning-Token Spikes Under Prompted Untruthful Responses in Large Language Models
arXiv:2610.10405v2 Announce Type: replace Abstract: Monitoring the chain-of-thought of reasoning artificial intelligence (AI) models remains a key approach to detecting deception and other forms of misbehavior in such mo…
- arXiv cs.AIresearchEmbodiedRSI: Active Continual Robot Learning Through Hypothesis-Guided Co-Evolution
arXiv:2610.10498v1 Announce Type: new Abstract: Robot foundation models provide strong visuomotor control, yet their performance can degrade when object positions or task instructions change. Further improvements often r…