AI news archive.
19,864 articles, newest first, from the outlets listed on the sources page.
- arXiv cs.AIresearchinr2action: Encoding Robot Episodes as Neural Implicit Representations for Recall and Action
arXiv:2610.28882v1 Announce Type: cross Abstract: Long-horizon robotic operation requires memory that scales with essential information rather than execution time. We present a parameter-space memory framework where each…
- arXiv cs.AIresearchRL-IF: Tracking Non-local Training Data Influence for Online Reinforcement Learning
arXiv:2610.28883v1 Announce Type: cross Abstract: Online reinforcement learning (RL) has achieved significant success in decision-making tasks, but modern online RL remains highly sensitive to the quality of training exp…
- arXiv cs.AIresearchSANE: Automated Scorer-Specific Metamorphic Testing for LLM Judges
arXiv:2610.28886v2 Announce Type: replace-cross Abstract: LLM judges increasingly mediate benchmark evaluation, model selection, data curation, and training. Their decisions are useful only when each judge responds relia…
- arXiv cs.AIagentsJaxMARL-BC: Multi-Agent Reinforcement Learning for Macroeconomic Modelling, in Seconds
arXiv:2610.28907v1 Announce Type: cross Abstract: Multi-agent reinforcement learning (MARL) offers a principled way of populating simulated economies with many heterogeneous decision makers. Its adoption, pioneered in fi…
- arXiv cs.AIresearchStyleStream 2.0: Fast and Controllable Streaming Voice Style Conversion
arXiv:2610.28940v1 Announce Type: cross Abstract: Voice style conversion (VSC) aims to transform a source utterance to match the timbre, accent, and emotion of a target voice while preserving linguistic content. StyleStr…
- arXiv cs.AIresearchHyperDrone: Simulation-to-Reality Transfer at Millions of Frames per Second
arXiv:2610.28950v1 Announce Type: cross Abstract: We present HyperDrone, an extremely fast quadrotor simulator focused on high-performance batch rendering that is more than 20x faster than existing state-of-the-art batch…
- arXiv cs.AIresearchSLoSa: Small, Low-Power, and Safe Foundation Models for Robotic Task Planning
arXiv:2610.28955v1 Announce Type: cross Abstract: Safe robotic task planning requires planners that can reliably achieve task goals while satisfying safety constraints. Classical planners search over explicit symbolic ta…
- arXiv cs.AIresearchCan Quantum Layers offer Performance and Security Advantages in Vision-Language Models?
arXiv:2610.28964v1 Announce Type: cross Abstract: As quantum computing moves from the noisy intermediate-scale quantum (NISQ) era toward early fault-tolerant quantum computing (EFTQC), quantum-enhanced AI is shifting fro…
- arXiv cs.AIagentsBlack-Box Red-Teaming of Multi-Agent Systems via Reinforcement Learning
arXiv:2610.28966v1 Announce Type: cross Abstract: Large language model (LLM) agents are increasingly deployed in multi-agent systems (MAS) to accomplish complex tasks. Prior black-box red-teaming attacks mainly focus on…
- arXiv cs.AIresearchUnit-Aware Differentially Private Quantum Machine Learning for Clinical and Wearable Health Data
arXiv:2610.28968v1 Announce Type: cross Abstract: Clinical registries and wearable sensors support early health-risk assessment, yet models trained on these records may leak sensitive information when released. Different…
- arXiv cs.AIresearchFrom Weather to Enhanced Weathering: Weather Foundation Models for Carbon Dioxide Removal at Operational Scale
arXiv:2610.28973v1 Announce Type: cross Abstract: Enhanced Rock Weathering (ERW) is a carbon removal solution with the potential to remove gigatons of CO$_2$ per year, but quantifying that removal today requires dense so…
- arXiv cs.AIresearchSSMCGM-Stream: A Streaming State-Space Model for Personalized Diabetes Management
arXiv:2610.28976v1 Announce Type: cross Abstract: Continuous glucose monitoring supports diabetes management but requires forecasting models that are accurate, interpretable, and efficient enough for real-time deployment…
- arXiv cs.AIresearchRethinking Time Series Tokenization from a Frequency Perspective
arXiv:2610.28997v2 Announce Type: replace-cross Abstract: Tokenization that partitions time series into subsequences has become a foundational paradigm in modern time series modeling. However, we find that current tokeni…
- arXiv cs.AIagentsVeriEvolve: Evaluator-First Evolution for Tool-Using Agents
arXiv:2610.29005v1 Announce Type: cross Abstract: A central obstacle to self-improving agents is the absence of a reliable fitness signal for realistic stateful tasks. We introduce \textsc{VeriEvolve}, an evaluator-first…
- arXiv cs.AIresearchEnhancing Cross-Grade Generalization in Banana Variety Classification via Hybrid CNN-Transformers and Knowledge Self-Distillation
arXiv:2610.29008v1 Announce Type: cross Abstract: In recent years, automated fruit classification systems have become a more critical component in precision agriculture for efficient yield estimation, quality control, an…
- arXiv cs.AIresearchPHD-Hand: A Printable Humanoid Dexterous Hand with Linkage-Driven 3-DOA Digits
arXiv:2610.29030v1 Announce Type: cross Abstract: Currently, dexterous humanoid robot hands are widely considered the final hardware bottleneck that hampers generalist robots from physically assisting people at home and…
- arXiv cs.AIresearchHumanCentric-Scenes-AI: A Human-Curated Multimodal Dataset of AI-Generated Human-Centric Scenes Across Surveillance, Occupational Portraits, AI-Edited Images, and Short-Form Video
arXiv:2610.29045v1 Announce Type: cross Abstract: We introduce HumanCentric-Scenes-AI, a human-curated dataset of 296 AI-generated stimuli that depict people across four contexts in which people encounter AI-generated me…
- arXiv cs.AIresearchOur Own Jev: Typed Decisions in One Forward Pass, from an In-House Judge to Open LoRA Models
arXiv:2610.29052v1 Announce Type: cross Abstract: A typed decision maps evidence, a question and a fixed set of options to a probability for every option, computed in one forward pass, by reading a language model's logit…
- arXiv cs.AIresearchDistilling Multi-Teacher Scoring Principles for Unsupervised Time Series Anomaly Detection
arXiv:2610.29063v1 Announce Type: cross Abstract: Time series anomalies take diverse forms, and individual detectors encode different anomaly scoring principles that rarely cover all anomaly types. Recent unsupervised ti…
- arXiv cs.AIresearchA Large-Scale Evaluation of Role-Enhanced Zero-Shot Chain-of-Thought Prompting
arXiv:2610.29073v1 Announce Type: cross Abstract: This paper proposes Role-Enhanced Zero-Shot Chain-of-Thought (RE-ZS-CoT), a prompting framework that systematically integrates domain-specific expert roles to enhance rea…
- arXiv cs.AIresearchValue-Rectified Distillation for Flow-based Offline Reinforcement Learning
arXiv:2610.29075v2 Announce Type: replace-cross Abstract: We aim to address the problem of Out-of-Distribution (OOD) Mode Averaging, a critical problem that emerges when distilling Flow Matching (FM) based behavior polic…
- arXiv cs.AIresearchReSeg: Retraining-free segmentation of abdominal organs via generalizable semantic representation learning
arXiv:2610.29090v1 Announce Type: cross Abstract: Abdominal organ segmentation is essential in modern medical applications. While existing deep learning approaches demonstrate promising performance, their heavy reliance…
- arXiv cs.AIagentsAgentic Music Post-Production
arXiv:2610.29093v1 Announce Type: cross Abstract: We introduce MixAgent, an agentic pipeline for music post-production that follows the workflow of audio engineers to build interpretable and editable mixing plans guided…
- arXiv cs.AIresearchUNIVERS: Learning UNIversal Voxel-wise Embedding via Randomized Synthesis for generalizable one-shot landmark localization
arXiv:2610.29098v1 Announce Type: cross Abstract: One-shot landmark localization in volume scans with varying fields of view (FOVs) is challenging. While existing self-supervised learning methods have shown promising per…
- arXiv cs.AIresearchDual-Channel Contrastive Encoding of Sperm Whale Coda
arXiv:2610.29101v1 Announce Type: cross Abstract: Sperm whales (Physeter macrocephalus) communicate through short click sequences called codas, whose structure includes the rhythmic pattern of inter-click intervals (ICI)…
- arXiv cs.AIresearchAn Eco-Friendly Tourism Trip Planner Driven by Z-Number Uncertainty: Evidence from Baku, Dubai, Abu Dhabi, Tashkent, and Istanbul
arXiv:2610.29120v2 Announce Type: replace-cross Abstract: Deployed tourism trip planners ingest travel times and ratings as exact numbers, although routing services return travel times that vary with the hour of departur…
- arXiv cs.AIresearchMitigating Reward Hacking in Realistic Scenarios Through Representation Engineering
arXiv:2610.29129v1 Announce Type: cross Abstract: Reward hacking is a major problem in current production machine learning systems, resulting in costly and dangerous failures. Here we study how to monitor for and mitigat…
- arXiv cs.AIresearchGRAFT: Restoring the Missing Sampling Interface in Continuous Diffusion Language Models
arXiv:2610.29136v1 Announce Type: cross Abstract: Continuous diffusion language models generate a whole sequence in parallel, never drawing a single word at any intermediate step; only the final step turns embeddings int…
- arXiv cs.AIresearchFrom AI-Free Gates to AI-First Work: How Engineering Students in India Navigate University Education and Career Preparation Without AI Guidelines
arXiv:2610.29140v2 Announce Type: replace-cross Abstract: Engineering graduates in India enter a technology sector that is being reshaped by generative AI, yet the route into that sector runs through examinations and cam…
- arXiv cs.AIresearchORSMT: Unleashing the Potential of Satisfiability Modulo Theories for Semantic Verification and Repair in LLM-Based Optimization
arXiv:2610.29145v1 Announce Type: cross Abstract: Large language models increasingly automate optimization modeling from natural language problems, producing written mathematics, solver code and a returned report. Verify…
- arXiv cs.AIresearchWhere Does Timbre Hide? Localizing Speaker Information in Speech Signals
arXiv:2610.29150v1 Announce Type: cross Abstract: Timbre similarity is a key evaluation target for generative speech systems, including voice conversion, speaker-cloning text-to-speech, and zero-shot speech models. When…
- arXiv cs.AIresearchFrom Augmentation to Synthetic Evidence: Evaluating Generated Chest Radiographs at Dataset Intake
arXiv:2610.29152v1 Announce Type: cross Abstract: A generated chest radiograph can be useful as declared augmentation, but the same image becomes unsupported evidence when submitted as the record of a real examination. W…
- arXiv cs.AIresearchAI-Based End-to-End Automotive Design and Software Development for SDVs
arXiv:2610.29160v1 Announce Type: cross Abstract: This paper explores the potential of Artificial Intelligence (AI) to enable end-to-end automotive design and software development for Software-Defined Vehicles (SDVs). Ba…
- arXiv cs.AIresearchWhy is AI-generated language so hard to understand?
arXiv:2610.29162v1 Announce Type: cross Abstract: There is a widespread sense that AI-generated text has recently become harder to understand. In this study, we investigate a set of psycholinguistic features that are kno…
- arXiv cs.AIresearchHow Representational Priors Shape Generalization in World Action Models
arXiv:2610.29168v1 Announce Type: cross Abstract: World action models (WAMs) are shown to substantially diverge under generalization performance based on their generative backbones. We investigate this gap through the re…
- arXiv cs.AIagentsTrainBridge: Agentic NPU Training Optimization Guided by GPU Compilation Evidence
arXiv:2610.29171v1 Announce Type: cross Abstract: We study how to improve training efficiency on Ascend NPUs. In the NPU training programs we study, framework-level compilation optimizations such as operator fusion are o…
- arXiv cs.AIresearchConditional Flow Models Convert Epistemic Uncertainty into Apparent Aleatoric Variance
arXiv:2610.29172v1 Announce Type: cross Abstract: Conditional Flow Models (CFMs) are increasingly being used in place of deterministic predictors across machine learning, including for tasks that were classically formula…
- arXiv cs.AIagentsCorrelated Failures of AI Approval Monitors
arXiv:2610.29178v1 Announce Type: cross Abstract: Before an AI agent takes a consequential action, such as paying, messaging or changing code, several monitors check it. Their verdicts are combined by aggregating scores…
- arXiv cs.AIresearchResuming Vision-Language Inference across Onboard Interruptions
arXiv:2610.29183v1 Announce Type: cross Abstract: Executing vision-language models (VLMs) aboard low-Earth orbit satellites enables flexible processing of observation data without first downlinking it to the ground. On c…
- arXiv cs.AIresearchLTEM: LLM-Friendly Table-Enhanced Markdown for Table Understanding and Generation
arXiv:2610.29188v2 Announce Type: replace-cross Abstract: Tables in real-world documents, including scientific papers, financial reports, and statistical summaries, frequently use merged cells, multi-level headers, and s…
- arXiv cs.AIresearchHuayu-Global: Skillful real-time quasi-global precipitation retrieval
arXiv:2610.29213v1 Announce Type: cross Abstract: Satellite precipitation products face a persistent trade-off: real-time estimates are timely but less accurate, whereas the most reliable products are often released mont…
- arXiv cs.AIresearchBeyond Binary Labels: Diagnostic Evaluation of LLM Safety with Prompt-Level Rubrics
arXiv:2610.29225v1 Announce Type: cross Abstract: Current LLM safety benchmarks predominantly rely on binary safe or unsafe labels, lacking explanatory depth and suffering from low consistency across automated judges. To…
- arXiv cs.AIagentsMOSAIC: An Omni-Modal Benchmark for Long-Term Memory and Cross-Modal Reasoning in Conversational Agents
arXiv:2610.29249v1 Announce Type: cross Abstract: Omni-modal assistants must remember not only what users say, but also what they show and convey. Existing long-term memory benchmarks are mostly text-and-image or report…
- arXiv cs.AIresearchHierarchical Masked Diffusion Language Models
arXiv:2610.29255v1 Announce Type: cross Abstract: Masked diffusion language models have emerged as an alternative to autoregressive models, enabling parallel token generation. However, standard masked diffusion language…
- arXiv cs.AIresearchCRAB: Cuboid-based Representation for As-built BIM from Point Clouds
arXiv:2610.29257v1 Announce Type: cross Abstract: As-built BIM reconstruction from point clouds demands semantic, volumetric, parametric, and editable building components, beyond 2D layouts or planar abstractions. Yet ex…
- arXiv cs.AIresearchFlat-RLVR: Sharpness-Aware Reinforcement Learning with Verifiable Rewards for Reasoning Capacity in LLMs
arXiv:2610.29281v1 Announce Type: cross Abstract: Reinforcement learning with verifiable rewards (RLVR), particularly through group-relative policy optimization (GRPO), has emerged as a central paradigm for the post-trai…
- arXiv cs.AIresearchLatent space configuration for neural network finetuning, fast ranking, and embedding dimensionality reduction
arXiv:2610.29295v2 Announce Type: replace-cross Abstract: Finding K most similar elements for a query in a large gallery of neural network (NN) embeddings is essential in various areas of computer science and industrial…
- arXiv cs.AIresearchWhen Are We Near Nash? Certifying Solutions in General-Sum Games
arXiv:2610.29300v1 Announce Type: cross Abstract: Heuristic solvers for general-sum extensive-form games produce a stream of iterates, and practice reports the NashGap of the returned profile. We ask what a solver can kn…
- arXiv cs.AIresearchYingLan: A Multimodal Ocean Foundation Model for Unified Representation Learning from Heterogeneous Observations
arXiv:2610.29313v1 Announce Type: cross Abstract: Multimodal ocean modeling remains challenging due to substantial heterogeneity in data structures, physical semantics, and spatiotemporal characteristics across satellite…
- arXiv cs.AIresearchOpenMAP-HIE: Pathology Informed Score-based Diffusion Model for Unsupervised Neonatal Hypoxic-Ischemic Encephalopathy Lesion Segmentation
arXiv:2610.29322v2 Announce Type: replace-cross Abstract: Accurate localization of neonatal hypoxic--ischemic encephalopathy (HIE) lesions on apparent diffusion coefficient (ADC) images is clinically important but is lim…