AI news archive.
19,871 articles, newest first, from the outlets listed on the sources page.
- arXiv cs.AIresearchStatistical Detection of Positional Bias in LLM-Based Recommender Systems: Methodologies and Empirical Evidence
arXiv:2610.37962v1 Announce Type: cross Abstract: Large Language Models (LLMs) are increasingly used as recommendation generators in conversational recommender systems (RS) via retrieval-augmented generation (RAG). This…
- arXiv cs.AIresearchSelf-Supervised Latent Action-Conditioned World Modeling for Time Series
arXiv:2610.37963v1 Announce Type: cross Abstract: Time-series data play an important role in various tasks, such as weather forecasting, web traffic analysis, and speech recognition. Recently, pioneering studies have inc…
- arXiv cs.AIresearchMerge and Branch: Efficient Tree-Structured Supervised Fine-Tuning of LLMs for Recommendation
arXiv:2610.37973v1 Announce Type: cross Abstract: LLM-based generative recommendation reads long, text-rich interaction histories but generates only short semantic identifiers (SIDs). This asymmetry makes supervised fine…
- arXiv cs.AIresearchTowards Generalizing Pretrained All-Atom Representations to Unified Binder Design
arXiv:2610.37994v1 Announce Type: cross Abstract: PairFormer-based all-atom models demonstrate strong capabilities in biomolecular binder design. However, existing methods often use all-atom representations for modality-…
- arXiv cs.AIresearchAre Seismic Foundation Models More Than Glorified Feature Extractors?
arXiv:2610.38003v1 Announce Type: cross Abstract: Earthquake sequences are stochastic on two separated timescales: the seismic waves of any individual earthquake propagate over seconds to minutes, while the earthquakes t…
- arXiv cs.AIresearch"It Would Make a Geordie Feel at Home": Regional Accent Perceptions and Speech Accommodation in Voice AI
arXiv:2610.38005v1 Announce Type: cross Abstract: Automatic speech recognition (ASR) systems often perform less accurately for speakers of regional dialects, but less is known about how users respond to these limitations…
- arXiv cs.AIresearchMaking Smart Homes Fit for Autistic Children: Family Work and Monitored Independence
arXiv:2610.38008v1 Announce Type: cross Abstract: General-purpose smart-home technologies are increasingly present in family life, yet how they support or disrupt autistic children and families with autistic children rem…
- arXiv cs.AIresearchMaking Sense of Audience Change: Causal Attribution and Boundary Management on Xiaohongshu
arXiv:2610.38026v2 Announce Type: replace-cross Abstract: Recommendation-driven platforms can reshape not only what users see, but also who becomes visible and how community boundaries are negotiated. We examine Xiaohong…
- arXiv cs.AIresearchMETATRON: A Promptable Whole-Body Execution Layer for Humanoids
arXiv:2610.38027v1 Announce Type: cross Abstract: Humanoid controllers often require task-specific training despite sharing the need for balance and whole-body coordination. We present Metatron, a promptable whole-body e…
- arXiv cs.AIresearchMeasuring Deep Learning Performance - An Empirical Study of Performance Distributions Across Architectures and Tasks
arXiv:2610.38037v1 Announce Type: cross Abstract: Context: Non-determinism in deep learning algorithm design and implementation leads to performance variation, meaning model performance is not a single value, but rather…
- arXiv cs.AIresearchEARS-Info: Information-Aware Event-Driven Reallocation for Multi-Robot Exploration
arXiv:2610.38040v1 Announce Type: cross Abstract: We introduce EARS-Info, an information-aware extension of Event-Driven Ant Reallocation Search for multi-robot exploration on OpenStreetMap-derived grids. It combines mar…
- arXiv cs.AIresearchCan Event Detectors Leave the Broadcast Camera? Evidence from Tennis
arXiv:2610.38042v1 Announce Type: cross Abstract: Ball bounces and racket hits are the events from which tennis statistics are derived, and on monocular video the two are easy to confuse. We release a benchmark of 345 bo…
- arXiv cs.AIresearchFrom Error Prediction to Causal Influence: Auditing SAE Features in Multiple-Choice QA
arXiv:2610.38067v1 Announce Type: cross Abstract: Sparse autoencoders (SAEs) can predict internal features associated with model errors, but association alone does not establish causal influence. We study this distinctio…
- arXiv cs.AIresearchPrompt Lottery in LLM-as-a-Judge: Measuring and Mitigating Sensitivity to Syntactic Rephrasing
arXiv:2610.38076v1 Announce Type: cross Abstract: LLM-as-a-Judge has become a standard for evaluating large language models, yet most approaches implicitly assume that a single judge prompt functions as a stable evaluati…
- arXiv cs.AIresearchInterpretable Feature Discovery from Unstructured Data Using LLMs and Statistical Choice Models
arXiv:2610.38082v1 Announce Type: cross Abstract: Feature extraction from unstructured data typically relies on opaque embeddings unsuited to interpretable decision-making. Interpretable features, on the other hand, typi…
- arXiv cs.AIresearchWhat Can Firms Do in the Face of Model Distillation?
arXiv:2610.38088v1 Announce Type: cross Abstract: Model distillation has become a major concern in the rapidly growing generative AI discourse. In its simplest form, distillation is the phenomenon where smaller firms can…
- arXiv cs.AIresearchPredicting What Answer Engines Cite: Open Decision Models, Rerankers and a Distilled 4B Student on Ten Engines under Controlled Retrieval
arXiv:2610.38090v1 Announce Type: cross Abstract: Generative engine optimization needs a scorer that ranks candidate pages by the share of an answer they will receive as citations. We measure pretrained rerankers, a host…
- arXiv cs.AIresearchJailbreak Connectivity: Towards Diverse, Transferable, and Universal Multimodal Large Language Model Jailbreak
arXiv:2610.38091v1 Announce Type: cross Abstract: Multimodal large language models (MLLMs) are vulnerable to visual jailbreak attacks that bypass safety safeguards. Existing methods typically optimize isolated adversaria…
- arXiv cs.AIagentsNemotron 3.5 Super and Lightning: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Models for Agentic AI
arXiv:2610.38095v1 Announce Type: cross Abstract: We introduce Nemotron 3.5 Super and Nemotron 3.5 Lightning, open and efficient Mixture-of-Experts Hybrid Mamba-Transformer models designed for reasoning, long-context und…
- arXiv cs.AIresearchCalculation and rejection diverge in language models tested at known mechanical limits
arXiv:2610.38096v1 Announce Type: cross Abstract: When a language model returns engineering quantities with the status "solved", software that trusts it passes them on, even when the requested design is physically imposs…
- arXiv cs.AIresearchThe Prestige: Benchmarking Cognitive Visual Reasoning using Magic Tricks
arXiv:2610.38103v1 Announce Type: cross Abstract: We introduce The Prestige, a video understanding benchmark that probes cognitive visual reasoning through professional magic performances, where deliberate misdirection c…
- arXiv cs.AIresearchFrom the Gettier Machine to Justified True Output: A Three-Step Account of Rational Trust in Generative AI
arXiv:2610.38112v1 Announce Type: cross Abstract: As generative artificial intelligence (AI) settles into everyday practices of inquiry, an old epistemological question returns in a new guise: when does a proposition a u…
- arXiv cs.AIresearchBeauty Is Human: When People Love AI-Generated Art, They Think a Human Made It
arXiv:2610.38113v1 Announce Type: cross Abstract: Generative AI now produces images and poems that people cannot reliably distinguish from human-made work, so people often judge for themselves who made a work. We examine…
- arXiv cs.AIagentsAnswer-Only Disclosure: Private-Context LLM Assistance over Web APIs with a Leakage Ledger
arXiv:2610.38126v1 Announce Type: cross Abstract: Web assistants increasingly answer questions about a user's private documents by pairing a small on-device model with a cloud LLM behind a Web API. In collaborative decod…
- arXiv cs.AIresearchEstimating Implicit Expected Log Density Ratios
arXiv:2610.38151v1 Announce Type: cross Abstract: When exact probabilities cannot be computed, \emph{density ratio estimation (DRE)} is a key subroutine in the wide range of applications where density ratios appear, from…
- arXiv cs.AIagentsScaling Lean Theorem Proving for Real-World Code Verification
arXiv:2610.38174v1 Announce Type: cross Abstract: We present EasyProver, a Lean proving system built from recursive agents with isolated contexts, asynchronous search, parallel tactic probing, and an elastic elaboration…
- arXiv cs.AIresearchConvex-SKM-Net: Low-Latency Block Halfspace Corrections for Neural Convex Constraint Satisfaction
arXiv:2610.38197v1 Announce Type: cross Abstract: Fast inference and strict constraint satisfaction are essential for learning-based decision-making. Existing methods often rely on constraint-specific projections or feas…
- arXiv cs.AIagentsIs it my preference? Role Grounding Attack against Agent's Memory via Social Interaction
arXiv:2610.38209v1 Announce Type: cross Abstract: LLM-based agents now share experiences on social platforms and remember new preferences to enhance their performance. However, existing memory systems contain a vulnerabi…
- arXiv cs.AIagentsSkeleton Coding: Program Structure as a Specification for Agents
arXiv:2610.38214v1 Announce Type: cross Abstract: Coding agents are typically provided end-to-end behavioral specifications that the code they produce should satisfy, such as tests and input--output examples. How many su…
- arXiv cs.AIresearchCuraEval: Evaluating Demonstration Curation on Mixed-Skill Robot Data
arXiv:2610.38221v1 Announce Type: cross Abstract: Robot imitation learning uses demonstrations from operators of varying skill, but selecting training data remains challenging. Existing methods score demonstrations using…
- arXiv cs.AIresearchThe Indian Financial Automated Advice Bias (IFAAB) Dataset : Auditing Socioeconomic and Demographic Disparities in LLM-Generated Financial Advice in India
arXiv:2610.38239v1 Announce Type: cross Abstract: Large language models are increasingly used for financial guidance, yet little is known about whether their advice changes across social identities in Global South contex…
- arXiv cs.AIresearchMEV: A Multi-Event Video Dataset for Long-Take Generation
arXiv:2610.38241v1 Announce Type: cross Abstract: Current datasets for text-to-video generation are largely limited to short clips depicting a single event or coarse-grained captions. As a result, they provide limited su…
- arXiv cs.AIagentsPrecedent or Intent? What Coding Agents Follow When Evolving Existing Code
arXiv:2610.38244v1 Announce Type: cross Abstract: Existing code reveals past implementation decisions but rarely explains the reasoning behind them. When coding agents implement new features or modify existing functional…
- arXiv cs.AIresearchA Tutorial on Generative Models for Music Audio
arXiv:2610.38252v1 Announce Type: cross Abstract: Music audio generation spans instrumental clips, full songs with vocals, edits of existing recordings, and systems that play alongside a musician in real time. This monog…
- arXiv cs.AIresearchCross Lingual Abstractive Summarization for Marathi
arXiv:2610.38267v1 Announce Type: cross Abstract: Text summarization is an important task for advancing natural language processing (NLP) research and applications in Indic languages. Despite progress in extractive and a…
- arXiv cs.AIresearchThe Role of Quantization in Loss Spikes
arXiv:2610.38277v1 Announce Type: cross Abstract: Loss spikes in language model pretraining can waste substantial compute and derail otherwise healthy training runs. A primary driver of these instabilities is the growth…
- arXiv cs.AIagentsVendster: An Evaluation Arena to Investigate How Forecasting Tool Quality Affects LLM Agent Behaviors in Buyer-Vendor Negotiation
arXiv:2610.38292v1 Announce Type: cross Abstract: Time-series forecasters are ranked almost entirely by accuracy metrics, but a forecast's decision value, its effect on the downstream decision, need not track accuracy an…
- arXiv cs.AIagentsEPSBench: Benchmarking LLM Agents for Earnings Forecasting
arXiv:2610.38293v1 Announce Type: cross Abstract: Quarterly earnings forecasting requires an agent to connect financial evidence to the income-statement line items that produce a company's reported earnings. We introduce…
- arXiv cs.AIresearchLLM-PowerTrace: A Dataset of Time-Resolved GPU Power Traces for AI Compute
arXiv:2610.38315v1 Announce Type: cross Abstract: AI compute is becoming large and fast-changing electrical loads. Its impacts on data center infrastructure and power grids depend not only on total energy consumption, bu…
- arXiv cs.AIagentsWhat Should a Navigator Remember? Spatiotemporal Memory for Zero-Shot Vision-Language Navigation
arXiv:2610.38318v1 Announce Type: cross Abstract: Zero-shot vision-and-language navigation (VLN) requires an agent to use past observations without navigation-specific training. We study what information an 8B-scale navi…
- arXiv cs.AIresearchExtremely Sparse-View Computed Tomography from 2D Projections via Pose-Aware Diffusion Priors
arXiv:2610.38319v1 Announce Type: cross Abstract: Extremely sparse-view computed tomography (xSV-CT) is critical when scanning time, motion, or radiation tolerance limits each scan to only a few projections. In many such…
- arXiv cs.AIagentsA Case Study of a Multi-Agent Kernel-Optimization Loop That Learns a New AI Accelerator
arXiv:2610.38329v1 Announce Type: cross Abstract: Frontier large language models write correct CUDA kernels for most single-operator benchmark tasks, yet their accuracy collapses on accelerators whose architecture and pr…
- arXiv cs.AIagentsMUSE: Multi-Level Memory with Selective Runtime Injection for Scientific Coding Agents
arXiv:2610.38332v1 Announce Type: cross Abstract: Historical experience can guide scientific coding at multiple levels, but task-level retrieval may miss implementation lessons that become relevant during execution. We i…
- arXiv cs.AIresearchStatutory Article Retrieval from Arabic Judicial Narratives: Family Law and Law of Evidence in Saudi Arabia
arXiv:2610.38336v1 Announce Type: cross Abstract: Reliable legal information retrieval must ground legal reasoning in authoritative statutory sources. In Arabic judicial settings, long factual narratives must be mapped t…
- arXiv cs.AIresearchAligning Misaligned Benchmarks for Single-View Novel View Synthesis
arXiv:2610.38349v1 Announce Type: cross Abstract: While single-view novel view synthesis methods have been dramatically enhanced recently, how to quantify their performance has yet to be standardized. In this work, we de…
- arXiv cs.AIagentsWeVisCut: The Whole Editing Room in One Agent From Narration to Long-Form Video
arXiv:2610.38352v1 Announce Type: cross Abstract: Producing long-form videos from narration requires interdependent decisions that remain coherent across shots. Existing agentic editors often use multi-stage workflows dr…
- arXiv cs.AIresearchSparseTokenGS: Gaussian-based Sparse-View CBCT Reconstruction via Reusable Token Pool
arXiv:2610.38360v1 Announce Type: cross Abstract: Sparse-view cone-beam computed tomography is widely used for fast, low-dose volumetric imaging and lesion localization in dentistry and image-guided interventions, but it…
- arXiv cs.AIresearchManifest-Assisted Retrieval in Artificial Intelligence Search: Evidence Gaps and a Security Evaluation
arXiv:2610.38361v1 Announce Type: cross Abstract: The external sources retained in our non-systematic audit did not isolate the incremental security or utility effect of consuming /llms.txt while ordinary retrieval remai…
- arXiv cs.AIresearchLLMs as Judges and Examinees for Medical Item Difficulty Prediction
arXiv:2610.38402v1 Announce Type: cross Abstract: Predicting medical item difficulty from item text alone remains challenging. Prior work has largely relied on linguistic features or text representations derived from gen…
- arXiv cs.AIresearchSpaceAct: Benchmarking 3D Spatial and Temporal Reasoning via Closed-Loop Action and Active Perception
arXiv:2610.38405v1 Announce Type: cross Abstract: To solve problems in 3D space rather than merely describe images, multimodal large language models (MLLMs) need 3D spatiotemporal reasoning: reconstructing 3D geometry fr…