AI news archive.
10,659 articles filed under Research, newest first, from the outlets listed on the sources page.
- arXiv cs.AIresearchTopic-Level Fairness in Retrieval-Augmented Generation
arXiv:2610.34683v1 Announce Type: new Abstract: Group fairness in retrieval-augmented generation (RAG) systems is typically evaluated using metrics aggregated across queries. However, such metrics can conceal topic-level…
- arXiv cs.AIresearchMovable-Element Multi-Functional RIS-Assisted Hybrid RSMA-NOMA: A Constrained Hybrid Reinforcement Learning Approach
arXiv:2610.34701v1 Announce Type: new Abstract: In this work, we propose a movable-element (ME) multi-functional reconfigurable intelligent surface (MF-RIS) architecture, termed MM-RIS, which integrates element mobility…
- arXiv cs.AIresearchSafe by Benchmark, Unsafe in Practice: Lessons from 1331 Child-Related AI Incidents
arXiv:2610.34705v1 Announce Type: new Abstract: AI systems are increasingly present in children's everyday environments: education, entertainment, social networks, and toys. Their safety is typically assessed at the mode…
- arXiv cs.AIresearchIntervene, Calibrate, Discover: Learning Causal Structure from Pixels
arXiv:2610.34711v1 Announce Type: new Abstract: Learning high-level causal variables from low-level observations is a central problem for artificial intelligence. With known node semantics but an unknown graph, visual re…
- arXiv cs.AIresearchPrefetch-Steered Routing: Deterministic Cache-Aware Expert Selection for Offloaded Mixture-of-Experts Decoding
arXiv:2610.34721v1 Announce Type: new Abstract: When a Mixture-of-Experts (MoE) model does not fit in GPU memory, batch-1 decoding is dominated by copying expert weights from host memory. Cache-aware routing reduces thes…
- arXiv cs.AIresearchArya Forge: Auditing Validation and Release Approval for Financial Instruction Data
arXiv:2610.34778v1 Announce Type: new Abstract: Financial instruction-data pipelines must distinguish content validity from permission to release a particular dataset. Arya Forge combines typed records, current-content c…
- arXiv cs.AIresearchUncovering the Turing Test's Latent Signal: Indistinguishability as a Reward
arXiv:2610.34781v1 Announce Type: new Abstract: Can a model learn by trying to fool another model? We show that it can. Inspired by the Turing Test and its recent generalization to arbitrary distinguishers, we introduce…
- arXiv cs.AIresearchTrustJev: Separating Policy Authority from Untrusted Evidence in LLM-Based Decisions
arXiv:2610.34826v1 Announce Type: new Abstract: Decision models enable software to select from predefined actions using natural language inputs. However, the external evidence that supplies facts for these decisions may…
- arXiv cs.AIresearchLogic Hijacking of RAG: Single-Document Poisoning via Local Optimization
arXiv:2610.34829v2 Announce Type: replace Abstract: Single-document corpus poisoning under black-box access poses a severe threat to Retrieval-Augmented Generation (RAG). However, existing attacks predominantly rely on e…
- arXiv cs.AIresearchBeyond Behaviour: A Stimulus-Response Safety Evaluation of Vision-Language-Action Models
arXiv:2610.34837v1 Announce Type: new Abstract: Humans exhibit biological sensitivity to safety-critical stimuli that can trigger defensive action. Across three models and two video benchmarks, we investigate whether sim…
- arXiv cs.AIresearchDecoyCount: Evaluating Visual-Reasoning Misalignment in Counting
arXiv:2610.34855v1 Announce Type: new Abstract: Visual counting benchmarks report whether vision-language models produce the correct number, but not whether errors arise from perception or reasoning. We introduce DecoyCo…
- arXiv cs.AIresearchUniGFM-RAG: Unify Graph Foundation Models and Large Language Models for End-to-End Retrieval and Reasoning
arXiv:2610.34866v1 Announce Type: new Abstract: Large Language Models (LLMs) have shown remarkable capabilities across tasks, but they still struggle with complex reasoning that requires integrating scattered knowledge.…
- arXiv cs.AIresearchGADAR: Generalizing Across Domains via Action Ranking for Classical Planning
arXiv:2610.34868v1 Announce Type: new Abstract: Learned policies for classical planning act without search, but each is tied to the domain it was trained on: network modules per action schema, parameters per predicate, o…
- arXiv cs.AIresearchDocTalk: Enhancing Medical Knowledge Retrieval via Fine-tuned Large Language Models with Chain-of-Thought Reasoning for Robust Clinical Decision Support
arXiv:2610.34871v1 Announce Type: new Abstract: Objective: The rapid advancement of large language models (LLMs) in healthcare has opened new possibilities for AI-assisted clinical decision-making; however, safe and effe…
- arXiv cs.AIresearchThinkBit: Search Codewords, Recalibrate Scales, Select by Reasoning
arXiv:2610.34886v1 Announce Type: new Abstract: Reasoning language models generate thousands of tokens per answer, and generation speed is limited by memory bandwidth, so storing weights in two bits instead of bfloat16 c…
- arXiv cs.AIresearchPhysEvolve: Verifier-grounded Self-evolution for Physical Reasoning with Executable Worlds
arXiv:2610.34921v1 Announce Type: new Abstract: Physical reasoning underpins how embodied systems understand and act in the physical world, yet vision-language models (VLMs) remain unreliable on questions about dynamics…
- arXiv cs.AIresearchStop or Clarify? Experience-Conditioned Active Fact Verification
arXiv:2610.34941v1 Announce Type: new Abstract: Fact-verification benchmarks score the final label, while an interactive verifier must first decide whether the available evidence is sufficient. We focus on that intermedi…
- arXiv cs.AIresearchDecision Model Factory: Building Specialized Sovereign Decision Models
arXiv:2610.34956v1 Announce Type: new Abstract: Decision needs vary with each application, language, and deployment environment. The Decision Model Factory turns those needs into specialized, sovereign models on demand.…
- arXiv cs.AIresearchC-SafeGen: Certified Safe LLM Generation with Claim-Based Streaming Guardrails
arXiv:2610.34961v1 Announce Type: new Abstract: Despite the remarkable capabilities of large language models (LLMs) across diverse applications, they remain vulnerable to generating content that violates safety regulatio…
- arXiv cs.AIresearchWhy Are LLMs Confidently Wrong? Correcting Overconfident Errors via Causal Head Intervention
arXiv:2610.34994v1 Announce Type: new Abstract: Modern large language models (LLMs) often exhibit overconfident errors, assigning high confidence to incorrect predictions and thereby undermining reliability in real-world…
- arXiv cs.AIresearchCritic's Eye: Review-Grounded Graph Reasoning for Long-Form Motif Discovery
arXiv:2610.35011v1 Announce Type: new Abstract: Deep narrative understanding requires distinguishing what happens from how it is presented, moving beyond the chronological fabula to decode the sjuzet, the discursive orga…
- arXiv cs.AIresearchBeyond Single-Attribute Auditing: A Configurable Multi-Attribute Benchmark for Intersectional Fairness in LLMs
arXiv:2610.35069v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly evaluated for fairness, yet most existing benchmarks audit one sensitive attribute at a time. This single-attribute paradigm c…
- arXiv cs.AIresearchA Diagnostic Protocol for GNNs in Electricity Load Forecasting: Separating Parameter Sharing from Neighborhood Access
arXiv:2610.35074v1 Announce Type: new Abstract: A graph neural network (GNN) forecasting a collection of load series combines two mechanisms, sharing parameters across series and reading neighboring series, and a gain ov…
- arXiv cs.AIresearchToward Fast Human Reaction Modeling from High-Frequency Digital Interaction Data
arXiv:2610.35079v1 Announce Type: new Abstract: We investigate whether limbic-like signatures of rapid, salience-driven behavior can be identified in high-resolution Counter-Strike 2 telemetry. This exploratory study int…
- arXiv cs.AIresearchZero-Shot Multi-Class Wafer Map Classification with Rule-Ordered Prompts for Large Multimodal Models
arXiv:2610.35080v1 Announce Type: new Abstract: Wafer-map defect classification often requires labeled data and retraining when production conditions change. We present a training-free six-class framework that combines c…
- arXiv cs.AIresearchWhen Fusion Order Matters: Insights on Progressive Multimodal Representation Learning for Cross-modal Retrieval
arXiv:2610.35125v1 Announce Type: new Abstract: Multimodal video retrieval combines visual, acoustic, and speech information, yet how their fusion order should depend on the data and the retrieval query remains unclear.…
- arXiv cs.AIresearchMuSID-KD: Multigranularity Knowledge Distillation for Generative Recommendation with Semantic IDs
arXiv:2610.35218v2 Announce Type: replace Abstract: Generative recommendation with semantic IDs (SIDs) represents each item as a sequence of discrete tokens and autoregressively predicts the next item's SID. Despite stro…
- arXiv cs.AIresearchTrainable Boundary-Keeping Where No Formal Answer Exists: A Controlled Knock-In Study of Reward Training in Evidence-Sufficiency Judgment
arXiv:2610.35226v1 Announce Type: new Abstract: Reasoning-tuned and reward-trained models are often assumed to verify more reliably because they reason longer or receive correctness signals. We test this in evidence-suff…
- arXiv cs.AIresearchSelf-Supervised Pretraining for PHM: What Transfers, What Does Not, and What Federating It Costs
arXiv:2610.35280v1 Announce Type: new Abstract: Self-supervised pretraining has produced capable time-series foundation models, but its value for Prognostics and Health Management (PHM) has not been measured under leakag…
- arXiv cs.AIresearchApplication of Artificial Intelligence in the Management of Climate Change-Related Health Issues in Africa
arXiv:2610.35294v1 Announce Type: new Abstract: While climate change disproportionately impacts African public health, AI predictive modeling remains heavily constrained. Using a Synthetic Knowledge Synthesis approach an…
- arXiv cs.AIresearchLLM-Enhanced Heterogeneous Graph Learning with Business Semantics for Financial Fraud Detection
arXiv:2610.35298v1 Announce Type: new Abstract: Financial fraud detection increasingly relies on heterogeneous transaction graphs, in which entities such as cards and merchants play distinct business roles and the risk m…
- arXiv cs.AIresearchRSIV-Harness: A Recursive Self-Improvement Harness Framework for Open-Domain Conversational Text-to-Visualization
arXiv:2610.35316v1 Announce Type: new Abstract: Users often request charts without knowing which database or table holds the relevant data. Such requests may be ambiguous, and users may ask follow-up questions to deepen…
- arXiv cs.AIresearchAdaTrendLike: Adaptive Hierarchical Detrending and Trend Likelihood Scoring for Time Series Anomaly Detection
arXiv:2610.35400v1 Announce Type: new Abstract: The rapid proliferation of Industrial Internet of Things devices has led to increasingly large-scale and non-stationary time-series data, posing significant challenges for…
- arXiv cs.AIresearchNeSySpec: Neuro-Symbolic Technical Intelligence for Auditing Engineering Specifications with an Application to Aircraft
arXiv:2610.35403v1 Announce Type: new Abstract: Engineers who audit a declared specification of an engineered system need to know which physical constraints it respects, which it violates, which field was altered and how…
- arXiv cs.AIresearchFrom Denoising Dynamics to Endpoint Uncertainty in Diffusion Language Models
arXiv:2610.35425v1 Announce Type: new Abstract: Predictive uncertainty in stochastic language-model inference can be characterized by repeatedly sampling an input and measuring the distribution of outputs. This requires…
- arXiv cs.AIresearchFaithful Explanations under Missing Modalities in Multimodal Dementia Prognosis
arXiv:2610.35430v1 Announce Type: new Abstract: Large language models are increasingly used to turn the feature attributions of multimodal prognostic models into narratives for clinicians, yet costly modalities such as a…
- arXiv cs.AIresearchEvoBench: An Evolving, Diagnostic Benchmark Framework for Environmental Modeling
arXiv:2610.35464v1 Announce Type: new Abstract: Machine learning models are now widely used to predict environmental variable dynamics in domains like hydrology, climate science, agriculture, and ecology. These models ar…
- arXiv cs.AIresearchTest-Time Confidence Adaptation under RL-Induced Trajectory Shift
arXiv:2610.35500v1 Announce Type: new Abstract: Trajectory-based confidence estimation has shown promising performance for large language models (LLMs) by leveraging rich signals from their reasoning processes. However,…
- arXiv cs.AIresearchCANS: Capability-Preserving Neuron Steering for Large Language Models
arXiv:2610.35530v1 Announce Type: new Abstract: Activation steering offers training-free and dynamic control of target behaviors in large language models, but existing methods can impair general capabilities and require…
- arXiv cs.AIresearchLinear Probes Transfer from Base to Distilled Language Models despite Rotation
arXiv:2610.35586v1 Announce Type: new Abstract: Linear probes, classifiers that read a language model's internal activations, are widely used to detect harmful requests. They are cheap to train and run, and an auditor wh…
- arXiv cs.AIresearchSAP-ViT: A Self-Attributing Patch Vision Transformer for Medical Image Classification
arXiv:2610.35593v1 Announce Type: new Abstract: Vision Transformer (ViT) classifiers commonly rely on a global classification (CLS) token for image-level prediction, which is poorly aligned with local interpretability re…
- arXiv cs.AIresearchEvolve on Graph: Self-Evolving Knowledge Graph Reasoning without Question Annotations
arXiv:2610.35598v1 Announce Type: new Abstract: Knowledge graphs (KGs) provide reliable external knowledge for multi-hop factual reasoning with large language models (LLMs), yet most KGs in real-world domains such as fin…
- arXiv cs.AIresearchVaLoP: Value Gradient Lookahead and Pullback for Reward-Guided Diffusion
arXiv:2610.35607v1 Announce Type: new Abstract: Reward guidance steers a pretrained diffusion or flow model toward images or actions that a reward model prefers, at sampling time and without retraining the model for each…
- arXiv cs.AIresearchExplainable Multimodal AI Approach to Reduce Unnecessary Breast Biopsies
arXiv:2610.35704v1 Announce Type: new Abstract: Recently, there has been rise in multimodal vision-language models for computer-aided diagnosis (CAD), yet their application in breast diagnosis, particularly for predictin…
- arXiv cs.AIresearchCLOSURE: Cross-Channel Closure for Multivariate Time Series Anomaly Detection
arXiv:2610.35753v1 Announce Type: new Abstract: Multivariate time series produced by industrial installations and server clusters are under continuous monitoring, and anomaly detection is the first line of defense before…
- arXiv cs.AIresearchBeyond Physical Illness: Can Clinical Narratives Reveal Emerging Mental Health Risks in Chronically Ill Patients?
arXiv:2610.35761v1 Announce Type: new Abstract: Mental-health risks such as depression, dementia, and suicidal ideation can emerge during hospitalization among chronically ill patients and may worsen without timely recog…
- arXiv cs.AIresearchGame theory of academic effort and hiring in the age of AI
arXiv:2610.35802v1 Announce Type: new Abstract: Many academic disciplines (in particular, mathematics and the theoretical sciences) face difficult questions about how to adapt their practices to the rise of highly capabl…
- arXiv cs.AIresearchPatient-specific rubric-based evaluation of large language models across longitudinal cancer care
arXiv:2610.35847v1 Announce Type: new Abstract: Large language models (LLMs) show promise in specialty medicine, yet existing evaluations largely focus on isolated clinical encounters rather than tracking how clinical re…
- arXiv cs.AIresearchCenter-of-Mass Interpretation of Evolution Strategies
arXiv:2610.35865v1 Announce Type: new Abstract: Evolution strategies (ES) update a model by sampling a population of perturbed copies, scoring each one, and moving in the reward-weighted direction of the perturbations. T…
- arXiv cs.AIresearchRetriever-Free Retrieval: Navigating Documents with Decision Models
arXiv:2610.35868v1 Announce Type: new Abstract: While language models have become dramatically more capable, retrieval still largely relies on lexical matching or similarity in fixed embedding spaces. This creates a capa…