AI news archive.
19,864 articles, newest first, from the outlets listed on the sources page.
- arXiv cs.AIresearchKnowing the Rules, Applying the Rules: Evaluating Language Models on Traditional Chinese Bazi
arXiv:2610.05682v1 Announce Type: cross Abstract: Knowing domain rules does not guarantee applying them to a case. We study this distinction in traditional Chinese Bazi through 3,000 Chinese multiple-choice questions spa…
- arXiv cs.AIresearchTwo-Sample Testing via Path-based Inference
arXiv:2610.05684v1 Announce Type: cross Abstract: Modern deep generative models are primarily studied for their ability to generate realistic samples, yet the generative dynamics they learn can also serve as objects of s…
- arXiv cs.AIagentsNexus: An Execution Fabric for AI Agents Across Cloud, Edge, and Devices
arXiv:2610.05709v1 Announce Type: cross Abstract: Language-model agents are evolving into long-running services that interact with models, tools, computers, mobile devices, and distributed environments. Existing agent fr…
- arXiv cs.AIresearchSimpleMark: Fast Multi-Bit Text Watermarking under f -Divergence Constraints
arXiv:2610.05712v1 Announce Type: cross Abstract: We introduce a framework for multi-bit text watermarking with security defined directly through $f$-divergence from the base language model distribution. Unlike prior app…
- arXiv cs.AIresearchRotated, but How Far? Diagnosing and Improving Object-Rotation Reasoning in VLMs
arXiv:2610.05715v1 Announce Type: cross Abstract: Vision-language models (VLMs) can detect that an object has rotated across views, but cannot reliably tell by how much. We introduce OR-Bench, a fine-grained benchmark fo…
- arXiv cs.AIresearchHLA-WM: Hybrid Linear Attention for Long-Horizon Video World Models
arXiv:2610.05739v1 Announce Type: cross Abstract: Long-horizon video world models require persistent memory to preserve scene consistency over extended rollouts. Softmax attention retains the full generation history thro…
- arXiv cs.AIresearchCIPHER-MoE: Balancing Efficiency and Routing Fidelity in Trillion-Scale MoE Training
arXiv:2610.05744v1 Announce Type: cross Abstract: Mixture-of-Experts (MoE) has been widely adopted in recent large language model (LLM) architectures. However, scaling up MoE in LLM training introduces system-level chall…
- arXiv cs.AIagentsBeyond Semantic Similarity: Performance and Costs of Agentic Retrieval for Complex Tasks
arXiv:2610.05750v1 Announce Type: cross Abstract: Modern information systems, including many agentic workflows, use dense retrieval to explore large amounts of unstructured data. However, dense retrieval relies on surfac…
- arXiv cs.AIresearchRelational Synthesis: Structure-Mediated Concatenative Synthesis for Foley and Retrieval-Augmented Audio Generation
arXiv:2610.05768v1 Announce Type: cross Abstract: We ask: given a retrieved source audio $S$ and a separate reference audio $R$, can we synthesize novel audio $Y$ out of this pair $(S,R)$ such that $Y$ remains acoustical…
- arXiv cs.AIresearchCLARA: Can AI Assess Developmental Appropriateness in Children's Stories?
arXiv:2610.05783v1 Announce Type: cross Abstract: Assessing the developmental suitability of children's narratives is important for educational recommendation and developmental literacy research, yet such assessment typi…
- arXiv cs.AIresearchProtocol-Sensitive Evaluation of Log Anomaly Detection: Component Costs and Target-Access Sensitivity on HDFS and BGL
arXiv:2610.05807v1 Announce Type: cross Abstract: Protocol choices can change the conclusions drawn from log anomaly detection benchmarks even when detector settings are fixed. We present a joint empirical study of split…
- arXiv cs.AIresearchLevel-of-Token Diffusion
arXiv:2610.05816v1 Announce Type: cross Abstract: Image and video diffusion models allocate equal computation to every region, even when the intended scene calls for varying levels of detail. The spatial distribution of…
- arXiv cs.AIagentsWho Keeps the Gains from Personal AI Assistants? Seller Adaptation and the Unassisted in a Language-Model Market Simulation
arXiv:2610.05823v1 Announce Type: cross Abstract: Personal AI assistants are beginning to transact for consumers, and early adopters capture real savings. Whether those savings survive, and what happens to consumers who…
- arXiv cs.AIagentsSelecting Long-Horizon Trajectories for Reliable and Efficient Terminal-Agent Training
arXiv:2610.05831v1 Announce Type: cross Abstract: Terminal agents are commonly trained by imitating long teacher trajectories, yet how much of each trajectory to supervise remains unexplored. We study the \emph{supervisi…
- arXiv cs.AIresearchCACFG: Curvature-Aware Classifier-Free Guidance and Optimal Control
arXiv:2610.05845v1 Announce Type: cross Abstract: Diffusion models generate samples by learning to reverse a fixed corruption process, and classifier-free guidance (CFG) is the standard mechanism for conditioning this pr…
- arXiv cs.AIresearchHierarchical Reinforcement Learning for Collision-Free Locomotion of an Underactuated Biped
arXiv:2610.05855v1 Announce Type: cross Abstract: A bipedal robot cannot deviate from its path to avoid an obstacle without disturbing its balance, and this coupling is most severe on underactuated platforms such as the…
- arXiv cs.AIresearchCurriculum Brain: Constructing Curriculum Knowledge Graphs as a Substrate for Cognitive Diagnosis
arXiv:2610.05860v1 Announce Type: cross Abstract: Cognitive Diagnostic Models (CDMs) identify which specific skills a student has and has not mastered, the signal a personalized learning path needs and a single aggregate…
- arXiv cs.AIagentsImagine to Act: High-Fidelity Data Synthesis via Image Editing World Model for Scalable GUI Agent Training
arXiv:2610.05861v1 Announce Type: cross Abstract: Graphical User Interface (GUI) agents have emerged as a promising paradigm for automating complex digital workflows across diverse applications. However, training highly…
- arXiv cs.AIresearchCCQ: A Multi-State Child Care Quality Dataset to Support AI for Children's Health Research
arXiv:2610.05863v1 Announce Type: cross Abstract: High-quality child care in early life is a critical determinant of children's growth and development. Research on child care quality has been constrained by fragmented, n…
- arXiv cs.AIresearchWeave Mamba Fusion: Global Cross-Scale Interaction for Lightweight Face Detection
arXiv:2610.05865v1 Announce Type: cross Abstract: Feature pyramid methods, from FPN to BiFPN, have achieved strong performance in face detection by fusing multi-scale features. However, detecting faces under unconstraine…
- arXiv cs.AIresearchOff-Policy Merging Beats On-Policy Self-Distillation for Continual Learning
arXiv:2610.05872v1 Announce Type: cross Abstract: A long-standing goal of AI is a model that can continually learn and improve itself. On post-trained models, supervised finetuning (SFT) on new data often causes poor gen…
- arXiv cs.AIresearchOGAM: Connecting Systematic Testing to Runtime Assurance through Object-Grounded Attention Monitoring for VLA Policies
arXiv:2610.05878v1 Announce Type: cross Abstract: Benchmarks expose vision-language-action (VLA) policies to few canonical instructions, while exhaustive deployment testing is impossible. We introduce Object-Grounded Att…
- arXiv cs.AIresearchTasteRoute: Personalized Routing for Video Generation
arXiv:2610.05896v1 Announce Type: cross Abstract: Rapid progress in video generation has led to a plethora of models that differ substantially in capability and generation cost. This raises a natural question: can each r…
- arXiv cs.AIresearchOn Hyperparameter Tuning on the Test Set
arXiv:2610.05902v1 Announce Type: cross Abstract: "Don't tune hyperparameters on the test set" is often stated in machine learning textbooks. Violating it is considered a cardinal sin that produces misleadingly optimisti…
- arXiv cs.AIresearchNon-invasive Seizure Detection Using Wearable Wrist-worn Accelerometry and Deep Learning
arXiv:2610.05919v1 Announce Type: cross Abstract: Seizure monitoring and detection are crucial for reducing the morbidity and mortality associated with seizures. Current epilepsy care, often involving expensive video-ele…
- arXiv cs.AIresearchIncentive Alignment in Online Experimentation
arXiv:2610.05922v2 Announce Type: replace-cross Abstract: Evaluating the causal effect of new features is a central goal for online platforms. While recent literature addresses limited testing traffic via centralized por…
- arXiv cs.AIresearchUltraDub: Towards Authentic Dubbing by Unifying Visually-Steered Flow Learning and Trajectory Guidance
arXiv:2610.05932v1 Announce Type: cross Abstract: Visual voice cloning requires intelligible, speaker-consistent speech synchronized with visible articulation. However, sequential multimodal conditioning can disrupt prev…
- arXiv cs.AIagentsThunderSyncRL: Lossless Acceleration of Agentic Reinforcement Learning
arXiv:2610.05935v1 Announce Type: cross Abstract: Language models are moving beyond generating answers to pursuing long-horizon goals in interactive environments. Post-training these agents requires long, heterogeneous t…
- arXiv cs.AIresearchReMem: Streaming Video Understanding With Long Context Retention
arXiv:2610.05940v1 Announce Type: cross Abstract: Despite their impressive performance on a wide range of video understanding tasks, current Vision Language Models (VLMs) are predominantly designed for offline scenarios…
- arXiv cs.AIagentsRunaway Reaction: When Benign Skills Compose into Malicious Behavior
arXiv:2610.05943v1 Announce Type: cross Abstract: Agent skills package task-specific knowledge and procedures that can be composed to support complex agent tasks, while public marketplaces provide a growing pool of reusa…
- arXiv cs.AIresearchPhysics-Informed but Not Physics-Consistent: Error Geometry and Subspace Projection for Neural AC Power Flow
arXiv:2610.05959v1 Announce Type: cross Abstract: Recent neural power-flow solvers, including emerging foundation models, achieve accurate voltage predictions, yet such accuracy does not necessarily imply physically cons…
- arXiv cs.AIresearchHuatuoGPT-3: RL-Only Domain Adaptation from Base Models
arXiv:2610.05966v1 Announce Type: cross Abstract: Domain adaptation aims to turn a general-purpose large language model (LLM) into an expert for a target domain. While the dominant SFT+RL pipeline offers a convenient col…
- arXiv cs.AIresearchJLD: Perceptual Distance Through A Jacobian Lens
arXiv:2610.05967v1 Announce Type: cross Abstract: Image compression, restoration, and generation all require a way to measure how different two images look to a person. Pixel error ignores how people see, while the most…
- arXiv cs.AIresearchTransfer-Stratified On-Policy Distillation for RL-Improved Reasoning Teachers
arXiv:2610.05974v1 Announce Type: cross Abstract: Reinforcement learning can substantially improve a reasoning teacher, but it is unclear which of those improvements survive when the teacher supervises a smaller on-polic…
- arXiv cs.AIresearchEpicWorldModel: Exploration-driven Planning with Latent World Models
arXiv:2610.05996v1 Announce Type: cross Abstract: Latent world models based on Joint-Embedding Predictive Architecture (JEPA) are deterministic by design. While successful in fully observable scenarios, this paradigm bre…
- arXiv cs.AIagentsAgentSpy: Making AI Agent Behavior Observable
arXiv:2610.06001v1 Announce Type: cross Abstract: AI agents built on large language models (LLMs) run shell commands, read and write files, and reach the network, typically with their user's privileges. However, what an…
- arXiv cs.AIagentsParallelism or Concession? Concurrency-Aware Procurement Negotiation for Agentic Commerce
arXiv:2610.06017v1 Announce Type: cross Abstract: Agentic buyers can cheaply fork a procurement task into many parallel negotiations, but concurrency is not free: every thread consumes resources, and simultaneous agreeme…
- arXiv cs.AIresearchInvestigating Query-Insensitive Behavior in Spatio-Temporal Video Grounding
arXiv:2610.06018v1 Announce Type: cross Abstract: Spatio-temporal video grounding (STVG) aims to localize objects or events described by natural language queries in both space and time. Existing STVG models are typically…
- arXiv cs.AIresearchAdaptive Expert Guidance for Efficient On-Policy Reinforcement Learning
arXiv:2610.06019v1 Announce Type: cross Abstract: With massively parallel simulation, on-policy Reinforcement Learning methods such as PPO have become standard in many domains. However, learning from scratch is sample-in…
- arXiv cs.AIresearchScalable Minimal-Change Learning for Controllable Image Editing
arXiv:2610.06021v1 Announce Type: cross Abstract: Image editing should change only the attributes specified by an instruction while preserving everything else, yet current methods often make unintended changes. We treat…
- arXiv cs.AIresearchDifferentiable Bit-Widths: Co-optimizing Pruning and Quantization via SVD for Ultra-Efficient LLM Compression
arXiv:2610.06026v1 Announce Type: cross Abstract: SVD-based pruning and quantization have recently emerged as a promising strategy for the ultra-efficient compression of large language models. In these methods, compressi…
- arXiv cs.AIresearchLightMTP: Lightweight Latent Multi-Token Prediction
arXiv:2610.06031v1 Announce Type: cross Abstract: Next-token prediction (NTP) is the standard pretraining objective for large language models, yet it provides an explicit training signal only for the immediate next token…
- arXiv cs.AIresearchMercerFlow: Flow Matching in a Kernel-Induced Latent Space for Probabilistic Forecasting
arXiv:2610.06039v1 Announce Type: cross Abstract: Recent work has shown that probabilistic flow matching for time series forecasting benefits from a data-matched prior. The resulting prior introduces local correlations,…
- arXiv cs.AIresearchRepresentation Disentanglement for Fair Chest X-Ray Diagnosis
arXiv:2610.06041v1 Announce Type: cross Abstract: Deep learning has advanced chest X-ray (CXR) diagnosis, yet demographic biases in learned representations may contribute to performance disparities across intersectional…
- arXiv cs.AIresearchBackdooring Sparse Autoencoders
arXiv:2610.06049v1 Announce Type: cross Abstract: Sparse autoencoders (SAEs) are increasingly used not only to interpret language models but also to intervene on their internal representations. We show that this creates…
- arXiv cs.AIresearchLocal2Mesh: Spatially Localized Contour-to-Mesh for Left Ventricular Reconstruction from Sparse 2D Cardiac MRI
arXiv:2610.06052v2 Announce Type: replace-cross Abstract: Three-dimensional (3D) left ventricular (LV) reconstruction from sparse cardiac magnetic resonance (CMR) imaging remains challenging due to inter-slice misalignme…
- arXiv cs.AIresearchROT: Rotating Hidden States towards Contextual Vectors for Hallucination Mitigation in LVLMs
arXiv:2610.06056v1 Announce Type: cross Abstract: Large Vision-Language Models (LVLMs) frequently suffer from object hallucination. Existing training-free interventions primarily manipulate attention weights, which indir…
- arXiv cs.AIresearchA Comprehensive Objective Evaluation of Modern Text-to-Speech for Turkish Using Speech Quality Assessment Models
arXiv:2610.06057v1 Announce Type: cross Abstract: Modern text-to-speech (TTS) systems can clone a target speaker from a short reference clip or be fine-tuned on a target voice, yet their behaviour on morphologically rich…
- arXiv cs.AIresearchVision Transformer Ensembles for Panoramic Street Segmentation
arXiv:2610.06063v2 Announce Type: replace-cross Abstract: Semantic segmentation of street panoramas can support detailed descriptions of urban environments, yet small datasets and unequal training costs make model select…
- arXiv cs.AIagentsAttention Tax, Handoff Tax: A Stylised Model of When Multi-Agent LLM Systems Help
arXiv:2610.06069v1 Announce Type: cross Abstract: Recent work on multi-agent LLM systems reaches sharply different conclusions: some results show that a single agent with the same information and compute should dominate…