AI news archive.
10,659 articles filed under Research, newest first, from the outlets listed on the sources page.
- arXiv cs.AIresearchHammering with Vampire in Lean
arXiv:2610.40310v1 Announce Type: cross Abstract: We present Vampire-Hammer, a hammer for the Lean interactive theorem prover that discharges goals using the Vampire automated theorem prover and reconstructs proofs check…
- arXiv cs.AIresearchDecision and System One models in rheumatology: accuracy and calibration on specialty-training examination questions and diagnostic case vignettes
arXiv:2610.40318v1 Announce Type: cross Abstract: Objectives: To evaluate the accuracy and calibration of Decision and System One models on rheumatology examination questions and diagnostic vignettes. Methods: Two benchm…
- arXiv cs.AIresearchHow to Loop Your Transformer: Loop Scaling, Specialization, and Parallel Inference
arXiv:2610.40325v1 Announce Type: cross Abstract: Looping in transformer models reuses weights by repeatedly applying the same transformer, or parts of it, making the model deeper without increasing its parameter count.…
- arXiv cs.AIresearchRadiology Guideline-derived Decision Graph for Efficient Clinical Decision Support
arXiv:2610.40327v1 Announce Type: cross Abstract: Radiological risk stratification and management planning are essential downstream tasks in medical imaging. Automating these tasks is challenging because clinical guideli…
- arXiv cs.AIresearchA Unified Hessian-Guided Framework for Post-Training Quantization
arXiv:2610.40345v1 Announce Type: cross Abstract: Low-bit quantization enables efficient deployment of large language models by reducing memory footprint and computational cost. Achieving high accuracy at low precision r…
- arXiv cs.AIresearchScaling Mathematical Proof Supervision from Structured Textbooks
arXiv:2610.40394v1 Announce Type: cross Abstract: Mathematical supervision for language models is typically flattened into isolated problem-solution pairs, discarding the curricular organization and evidential structure…
- arXiv cs.AIresearchUnderstanding and Mitigating Role Spoofing in LLMs
arXiv:2610.40396v1 Announce Type: cross Abstract: Despite growing capabilities, LLMs remain susceptible to prompt injections: malicious inputs that can manipulate or hijack models. In particular, it has recently been obs…
- arXiv cs.AIresearchSCARL: Sequence Confidence-Aligned Reinforcement Learning
arXiv:2610.40407v1 Announce Type: cross Abstract: Reinforcement learning with verifiable rewards (RLVR) improves language-model reasoning by scoring sampled responses with a rule-based verifier and reinforcing those that…
- arXiv cs.AIresearchBridging Neural Representations and Symbolic Semantics in Audio Classification
arXiv:2610.40414v1 Announce Type: cross Abstract: Deep audio classifiers can achieve strong predictive performance, but their hidden representations remain difficult to interpret. Existing audio explainability methods of…
- arXiv cs.AIresearchIMPACT: Inverter-Informed Multimodal Learning for Photovoltaic Generation Forecasting
arXiv:2610.40418v1 Announce Type: cross Abstract: This work develops a physics-informed multimodal deep learning framework for 10- to 110-minute-ahead probabilistic photovoltaic power forecasting. The forecasting model i…
- arXiv cs.AIresearchNECA: Neighbor Event Curve Augmentation for Multi-Horizon ICU Deterioration Prediction
arXiv:2610.40420v2 Announce Type: replace-cross Abstract: Early prediction of ICU organ dysfunction events supports timely clinical monitoring and intervention, but estimating short-term organ-specific risk from early IC…
- arXiv cs.AIresearchMetaRefine: Score Refinement with Multi-Level Features for Image Assessment
arXiv:2610.40487v1 Announce Type: cross Abstract: An image's original dimensions, aspect ratio, and composition provide important cues that can affect its technical and aesthetic quality. Image assessment methods use res…
- arXiv cs.AIresearchFast and accurate neural triage decoding of ultra-high-rate quantum LDPC codes
arXiv:2610.40490v1 Announce Type: cross Abstract: Quantum error correction is essential for fault-tolerant quantum computing. High-rate quantum low-density parity-check (qLDPC) codes have emerged as a promising approach…
- arXiv cs.AIresearchAI in the EGI e-infrastructure -- Past experiences and future strategies
arXiv:2610.40494v1 Announce Type: cross Abstract: The EGI Federation has provided federated e-infrastructure services to European and global science for over 15 years. We review EGI's early experiences with AI in the int…
- arXiv cs.AIresearchHow I Aligned Your Model: Scaling Up Multilingual Safety Training with Templates
arXiv:2610.40516v1 Announce Type: cross Abstract: Safety alignment for Large Language Models is heavily focused on English with limited multilingual representation, particularly damaging low-resource language performance…
- arXiv cs.AIresearchBURGER: Benchmarking and Understanding Robotic Generalization via Embodied Drawing
arXiv:2610.40532v1 Announce Type: cross Abstract: How effectively can vision-language-action (VLA) models learn diverse language-conditioned behaviors as training data scales? Investigating this question requires large a…
- arXiv cs.AIresearchMultistatic ISAC with Deep Learning-Based Clutter Suppression for 5G and Beyond
arXiv:2610.40586v1 Announce Type: cross Abstract: Integrated sensing and communications (ISAC) systems using 5G and beyond signals of opportunity enable joint wireless sensing and communication using shared infrastructur…
- arXiv cs.AIresearchTextSeal2: Distortion-Free LLM Watermarking with Copula Mixing and Memoryless Races
arXiv:2610.40613v1 Announce Type: cross Abstract: We present TextSeal2, a distortion-free watermark for large language models that keeps its signal under speculative decoding: tokens that replace rejected drafts remain w…
- arXiv cs.AIresearchProbing Spatial State Representations in Visual Foundation Models
arXiv:2610.40636v1 Announce Type: cross Abstract: An observer sees only part of the surrounding world, yet must keep track of what lies beyond the current view. Spatial perception therefore involves more than recognizing…
- arXiv cs.AIresearchLuggage re-identification: A study of strategies towards a real-world application
arXiv:2610.40643v1 Announce Type: cross Abstract: Luggage re-identification (ReID) is a critical task in video surveillance for forensics, security or border management (suspicious or abandoned luggage recognition), as w…
- arXiv cs.AIresearchRead, Allocate, Route: Role-Coupled Tokenization for Pixel-Space Generative Transformers
arXiv:2610.40647v1 Announce Type: cross Abstract: Pixel-space generative Transformers typically use one token per image patch, so capturing finer detail requires more tokens and makes global attention increasingly expens…
- arXiv cs.AIresearchRethinking Neural Thickets Without Weight Perturbations
arXiv:2610.40649v1 Announce Type: cross Abstract: The Neural Thickets hypothesis posits that pretrained language models lie in dense neighborhoods of task-specific experts in weight space, which random Gaussian perturbat…
- arXiv cs.AIresearchInvert4TVG: A Temporal Video Grounding Framework with Inversion Tasks Preserving Action Understanding Ability
arXiv:2508.07388v3 Announce Type: replace Abstract: Temporal Video Grounding (TVG) aims to localize video segments corresponding to a given textual query, which often describes human actions. However, we observe that cur…
- arXiv cs.AIresearchPrompts to Proxies: Emulating Human Preferences via a Compact LLM Ensemble
arXiv:2509.11311v3 Announce Type: replace Abstract: Large language models are increasingly used as proxies for human subjects in social science research, yet external validity requires matching the response distributions…
- arXiv cs.AIresearchPharos-ESG: A Framework for Multimodal Parsing, Contextual Narration, and Hierarchical Labeling of ESG Report
arXiv:2511.16417v4 Announce Type: replace Abstract: Environmental, Social, and Governance (ESG) principles are reshaping the foundations of global financial governance, transforming capital allocation architectures, regu…
- arXiv cs.AIresearchSandwich Reasoning: An Answer-Reasoning-Answer Approach for Low-Latency Query Correction
arXiv:2601.03672v2 Announce Type: replace Abstract: Query correction is a critical entry point in modern search pipelines, demanding high accuracy strictly within real-time latency constraints. Chain-of-Thought (CoT) rea…
- arXiv cs.AIresearchRoSeViT: Role-Separated Vision Transformers for ARC Visual Reasoning
arXiv:2601.13562v2 Announce Type: replace Abstract: ARC tasks can be formulated as visual transformation problems, where a model must infer a high-level transformation rule from a small set of demonstrations and apply it…
- arXiv cs.AIresearchDefining Operational Conditions for Safety-Critical AI-Based Systems from Data
arXiv:2601.22118v4 Announce Type: replace Abstract: Artificial Intelligence (AI) has been on the rise in many domains, including numerous safety-critical applications. However, for complex systems in the real world, defi…
- arXiv cs.AIresearchPRISM: Pushing the Frontier of Deep Think via Process Reward Model-Guided Inference
arXiv:2603.02479v2 Announce Type: replace Abstract: DEEPTHINK methods improve reasoning by generating, refining, and aggregating populations of candidate solutions, which enables strong performance on complex mathematica…
- arXiv cs.AIresearchMuQ-Eval: An Open-Source Per-Sample Quality Metric for AI Music Generation Evaluation
arXiv:2603.22677v2 Announce Type: replace Abstract: Distributional metrics such as Fr\'echet Audio Distance cannot score individual music clips and correlate poorly with human judgments, while the only per-sample learned…
- arXiv cs.AIresearchAn Analysis of Artificial Intelligence Adoption in NIH-Funded Research
arXiv:2604.07424v2 Announce Type: replace Abstract: Understanding the landscape of artificial intelligence (AI) and machine learning (ML) adoption across the National Institutes of Health (NIH) portfolio is critical for…
- arXiv cs.AIresearchTowards Training Transformers as a Universal Computer
arXiv:2604.25166v2 Announce Type: replace Abstract: We demonstrate that a small transformer can learn to execute programs in MicroPy, a simplified yet computationally universal programming language. Given procedure defin…
- arXiv cs.AIresearchLearning Mental Models From Unreliable Evidence
arXiv:2605.24528v3 Announce Type: replace Abstract: Children expertly construct mental models under uncertainty despite limited world knowledge. Which computational principles make this possible? We study this question i…
- arXiv cs.AIresearchForget Attention: Importance-Aware Attention Is All You Need
arXiv:2606.02332v3 Announce Type: replace Abstract: Attention retrieves content precisely, but its scores depend only on query--key products, leaving order and recency to positional encodings. Conversely, state-space mod…
- arXiv cs.AIresearchDifference-Making without Making a Difference
arXiv:2606.24832v2 Announce Type: replace Abstract: Over a series of seven papers, Andreas & G\"unther have introduced seven definitions of actual causation and have classified them as belonging to three different, compe…
- arXiv cs.AIresearchFrom Profiles to Steering Vectors: Global Sparse Priors and Local Semantic Calibration for Personalized Text Generation
arXiv:2607.21620v2 Announce Type: replace Abstract: Personalized text generation requires models to capture user-specific writing styles from historical data. Existing approaches based on retrieval, parameter-efficient f…
- arXiv cs.AIresearchWNM-3D: A World Navigation Model with 3D Scene Conditioning for Closed-Loop VLN
arXiv:2608.07267v3 Announce Type: replace Abstract: Recent vision-language navigation (VLN) systems increasingly adapt pretrained vision-language models (VLMs) into vision-language-action (VLA) policies that map egocentr…
- arXiv cs.AIresearchDiG-bench: Discovery in Games
arXiv:2608.12593v2 Announce Type: replace Abstract: Discovery---formulating novel generalizations---is a central part of the scientific process. Despite its importance, there is a gap in the current AI benchmark landscap…
- arXiv cs.AIresearchProcess-Constituted Intelligence: A Shared Criterion for Humans and Machines
arXiv:2608.16213v3 Announce Type: replace Abstract: Intelligence is constituted by \textit{process} (iterative activity through which output emerges), not in the output itself. Generative AI (GenAI) is trained on \textit…
- arXiv cs.AIresearchLLM-Driven, Datasheet-Aware Automated Hardware Compatibility Verification for Early-Stage, Pre-Schematic Embedded System Design
arXiv:2608.25217v2 Announce Type: replace Abstract: We present an LLM-driven, datasheet-aware framework for early-stage hardware compatibility verification that identifies documentation-level interface incompatibilities…
- arXiv cs.AIresearchEpistemic Warrant for LLM Recommendations: Characterizing the Basis for Reliance When Ground Truth Is Unavailable
arXiv:2609.04127v2 Announce Type: replace Abstract: Large language models are increasingly used to support organizational decisions. Despite their rapid and widespread adoption, users often lack a principled basis for as…
- arXiv cs.AIresearchNovGauge: A Fine-Grained Benchmark for Diagnosing LLMs' Capability in Paper Novelty Assessment
arXiv:2609.11234v2 Announce Type: replace Abstract: Large language models (LLMs) are increasingly used in peer review at major AI conferences, yet novelty remains a persistent weak point. Existing benchmarks assess novel…
- arXiv cs.AIresearchStrategic Integration of Artificial Intelligence in the C-Suite: The Role of the Chief AI Officer
arXiv:2407.10247v4 Announce Type: replace-cross Abstract: The integration of Artificial Intelligence (AI) into corporate strategy has become critical for organizations seeking to maintain competitive advantage in the dig…
- arXiv cs.AIresearchJoint Detection of Fraud and Concept Drift inOnline Conversations with LLM-Assisted Judgment
arXiv:2505.07852v2 Announce Type: replace-cross Abstract: Detecting fake interactions in digital communication platforms remains a challenging and insufficiently addressed problem. These interactions may appear as harmle…
- arXiv cs.AIresearchTrustworthy AI and Democracy: A Dual Taxonomy and Operational Framework of Democratic Risks and Contributions
arXiv:2505.13565v3 Announce Type: replace-cross Abstract: Artificial Intelligence (AI) can undermine and strengthen democratic governance. This paper introduces the AIRD/AIPD framework, a dual taxonomy and operational fr…
- arXiv cs.AIresearchGeneralizable dose denoising using diffusion transformer framework for pencil beam scanning proton therapy
arXiv:2506.04467v2 Announce Type: replace-cross Abstract: Background and purpose: Intensity-modulated proton therapy (IMPT) enables conformal dose delivery for head and neck (H&N) cancers. However, its sensitivity to int…
- arXiv cs.AIresearchRethinking Group Recommender Systems in the Era of Generative AI: From One-Shot Recommendations to Conversational Group Decision Support
arXiv:2507.00535v3 Announce Type: replace-cross Abstract: More than twenty-five years ago, early ideas emerged on how to design systems that provide recommendations to groups of users rather than individuals. Since then,…
- arXiv cs.AIresearchMembership Inference Attacks on Recommender System: A Survey
arXiv:2509.11080v5 Announce Type: replace-cross Abstract: Recommender systems (RecSys) have been widely applied to various applications, including E-commerce, finance, healthcare, social media and have become increasingl…
- arXiv cs.AIresearchAttribution Gradients: Incrementally Unfolding Citations for Critical Examination of Attributed AI Answers
arXiv:2510.00361v3 Announce Type: replace-cross Abstract: AI answer engines are a relatively new kind of information search tool: rather than returning a ranked list of documents, they generate an answer to a search ques…
- arXiv cs.AIresearchNeuroBridge: Bio-Inspired Self-Supervised EEG-to-Image Decoding via Cognitive Priors and Bidirectional Semantic Alignment
arXiv:2511.06836v2 Announce Type: replace-cross Abstract: Visual neural decoding seeks to reconstruct or infer perceived visual stimuli from brain activity patterns, providing critical insights into human cognition and e…