AI news archive.
19,864 articles, newest first, from the outlets listed on the sources page.
- arXiv cs.AIresearchKoAGE: Do Large Language Models Know, Learn, and Coin Korean Neologisms?
arXiv:2610.19399v1 Announce Type: cross Abstract: Korean neologisms arise through diverse mechanisms, a demanding test of language models beyond lexical memorization. To enable systematic evaluation, we introduce NeoTrac…
- arXiv cs.AIresearchScaling LLM Inference via Parallelism: Throughput-Latency Trade-off
arXiv:2610.19405v1 Announce Type: cross Abstract: Large Language Model (LLM) serving systems must balance latency and throughput while efficiently utilizing distributed GPU resources. This challenge arises because infere…
- arXiv cs.AIresearchVision-Language Models Integrate Conflicting Evidence Like Biased Bayesian Observers
arXiv:2610.19407v1 Announce Type: cross Abstract: Vision-language models must reconcile conflicting text and images. Prior work has characterized the resulting behavior in terms of modality biases--e.g., a "blind faith i…
- arXiv cs.AIresearchRecursive Formation and First-Class Reuse of Compositional Capabilities
arXiv:2610.19414v1 Announce Type: cross Abstract: We introduce FormCraft, a framework for representing acquired operations as first-class capabilities that can be recursively composed, directly invoked, and selectively r…
- arXiv cs.AIagentsFrom Failures to Learnable Worlds: Policy-Conditioned Environment Generation for Navigation Agents
arXiv:2610.19420v1 Announce Type: cross Abstract: Simulated environments enable scalable training data generation for embodied agents, but more data does not necessarily provide what a particular agent needs to learn. Ex…
- arXiv cs.AIresearchVideoHarness-SRSI: Structured Recursive Self-Improvement for Video Understanding Harness
arXiv:2610.19424v2 Announce Type: replace-cross Abstract: LLM system capabilities depend not only on model parameters but also on the executable harnesses that organize information acquisition, tool use, reasoning, and m…
- arXiv cs.AIresearchHow Do LLMs Understand Legal Philosophy? Diagnosing Legal-Philosophical Reasoning in LLMs
arXiv:2610.19427v1 Announce Type: cross Abstract: Legal reasoning is a fundamental capability for large language models (LLMs) to complete legal AI tasks such as legal judgment prediction. In legal practice, this reasoni…
- arXiv cs.AIresearchMIPS: Mitigating Mode Collapse in Reinforcement Learning for Large Outcome Spaces
arXiv:2610.19457v1 Announce Type: cross Abstract: Expected-reward maximization in reinforcement learning concentrates probability mass on a few outcomes, even in tasks that require many distinct, high-quality solutions,…
- arXiv cs.AIresearchIMU-Bench: Benchmarking Wrist IMU Representations Across Kinematic, Semantic and Clinical Tasks
arXiv:2610.19481v1 Announce Type: cross Abstract: Wrist-worn inertial measurement units (IMUs) provide a common sensing modality for tasks ranging from activity and gesture recognition to pose estimation, inertial odomet…
- arXiv cs.AIresearchRobust Real-Time Monocular Human Pose Estimation with Insole-Based Sensor Fusion
arXiv:2610.19494v1 Announce Type: cross Abstract: Real-time monocular human pose estimation is an important sensing component for human-centered intelligent systems. While recent camera-based methods have achieved impres…
- arXiv cs.AIresearchStructure-Preserving Document-Level Data Augmentation via Discourse Parsing
arXiv:2610.19497v1 Announce Type: cross Abstract: Data augmentation (DA) plays a vital role in improving model performance in low-resource or limited-supervision scenarios within Natural Language Processing (NLP). Existi…
- arXiv cs.AIagentsRetrieve What Helps, Only When It Helps: Agentic Reinforcement Learning for Selective Retrieval-Augmented Machine Translation
arXiv:2610.19528v1 Announce Type: cross Abstract: Retrieving external knowledge can improve large language model (LLM) translation by providing supplementary information such as idiom interpretations and terminology. How…
- arXiv cs.AIresearchTyped Decision Models on Tabular Data
arXiv:2610.19536v1 Announce Type: cross Abstract: Typed decision models are language models that answer a question with a fixed set of possible answers by returning a probability for each answer instead of generating tex…
- arXiv cs.AIresearchEvidence-Anchored Overdose Death Prediction from Death Investigation Reports
arXiv:2610.19556v1 Announce Type: cross Abstract: Confirmation of overdose deaths in the United States is often delayed due to the complexities of certifying drug-involved deaths. Death investigation reports represent a…
- arXiv cs.AIresearchTEX-MEX: Similarity-Guided Temporal Contrastive Learning for Time Series
arXiv:2610.19557v1 Announce Type: cross Abstract: Contrastive learning for time series depends on deciding which pairs of inputs should be treated as similar and dissimilar. Because few augmentations reliably preserve me…
- arXiv cs.AIresearchREWIND: Uncertainty-Guided Trajectory Repair for Test-Time Reasoning
arXiv:2610.19561v1 Announce Type: cross Abstract: An early mistake in the generated reasoning can constrain all subsequent reasoning. Repeated-generation methods, like MCMC-based approaches, attempt to improve output qua…
- arXiv cs.AIresearchFrame Evidence:A Benchmark for Reference Frames and Visual Evidence in Multi-Image Spatial Reasoning
arXiv:2610.19564v2 Announce Type: replace-cross Abstract: A spatial answer depends on the reference frame specified in language and its supporting visual evidence. Item accuracy alone obscures whether correctness persist…
- arXiv cs.AIresearchLearning Across Temporal Graph Representation Silos
arXiv:2610.19576v1 Announce Type: cross Abstract: Temporal graph data are recorded in different representations, but whether these differences also determine the scope of learned knowledge reuse remains unclear. This stu…
- arXiv cs.AIagentsXferAgent: Cross-Agent Experience Transfer for Self-Improving LLM Agents
arXiv:2610.19581v1 Announce Type: cross Abstract: Large language model (LLM) agents can reuse experience from prior task executions to improve performance on subsequent tasks. Although existing methods enable cross-agent…
- arXiv cs.AIagentsJevCoder: When Does Decision Delegation Pay Off in Code Repair?
arXiv:2610.19596v1 Announce Type: cross Abstract: A coding agent repeatedly makes decisions as it repairs code. These decisions shape repair trajectories and affect the token cost of successive model requests. We ask whi…
- arXiv cs.AIresearchBeyond Static Positional Encoding: Bayesian Time-aware Attention for Non-Stationary Long-term Time Series Forecasting
arXiv:2610.19603v1 Announce Type: cross Abstract: Transformers have demonstrated strong performance in long-term time series forecasting (LTSF), yet modeling non-stationary temporal dependencies remains challenging. In t…
- arXiv cs.AIagentsDivergent Paths: Learning an Outcome-Predictive Representation of LLM Agent Trajectories
arXiv:2610.19614v1 Announce Type: cross Abstract: In this work, we reframe agentic trajectories as paths through a shared embedding space of actions and environmental observations. We show that successful and failed roll…
- arXiv cs.AIresearchInstruction-Conditioned Motion Control for Robotic Arms: Language-to-Code Decomposition and Reinforcement Learning
arXiv:2610.19617v1 Announce Type: cross Abstract: Instruction-Conditioned Motion Control (ICMC) separates parameter specification, instruction generation, and code synthesis for language-driven robot control, making exec…
- arXiv cs.AIresearchDAGFormer: Global Topology Prediction for Transformer Cross-Layer Connections
arXiv:2610.19625v1 Announce Type: cross Abstract: We propose DAGFormer, a Transformer language model whose cross-layer connections are planned by a jointly trained topology predictor. Beyond the residual connections in a…
- arXiv cs.AIresearchEye, Robot: Learning Expressive Gaze Dynamics via a VLM-Guided Transformer-VAE
arXiv:2610.19635v1 Announce Type: cross Abstract: Gaze coordinates attention in human interaction through coupled eye, head, and eyelid motion. A humanoid robot must choose where to look while generating a suitable movem…
- arXiv cs.AIresearchSparse Autoencoders Are a Shared Coordinate System for Symbolic Matching
arXiv:2610.19636v1 Announce Type: cross Abstract: Large language models (LLMs) hold broad knowledge in one set of weights, but lack interpretability and trustworthy reasoning, especially in high-stakes use cases. A neuro…
- arXiv cs.AIresearchAWARE-RG: Abstraction Aware Explanation of Resiliency Graphs for Cyber Physical Systems
arXiv:2610.19650v1 Announce Type: cross Abstract: Understanding the security posture of cyber physical systems (CPS) requires reasoning across both information technology (IT) and operational technology (OT). However, a…
- arXiv cs.AIresearchHACHIMI-II: From Role-Play to Learner Behavior Modeling for Faithful Student Simulation
arXiv:2610.19654v1 Announce Type: cross Abstract: Simulated students let researchers test tutoring systems and teaching strategies before real learners are available, but only if the simulation reproduces where a particu…
- arXiv cs.AIagentsMeasuring and Reducing Unusable Replies of LLM Agents
arXiv:2610.19659v1 Announce Type: cross Abstract: People delegate multi-step work to LLM agents and read only the reply that the agent hands back. Current evaluation scores task completion and the faithfulness of reports…
- arXiv cs.AIagentsInterlock: From Local Correctness to Task Completion in Long-Horizon Agents
arXiv:2610.19686v1 Announce Type: cross Abstract: Large language model agents increasingly undertake long-horizon tasks in complex environments characterized by fragmented evidence, partially completed states, and depend…
- arXiv cs.AIresearchFunction-Space Temporal Self-Distillation for Policy Optimization
arXiv:2610.19687v1 Announce Type: cross Abstract: Reinforcement Learning with Verifiable Rewards (RLVR) improves reasoning in language models, but scalar outcomes provide coarse supervision over response trajectories. Se…
- arXiv cs.AIresearchPPAD-Completeness of Contiguous Envy-Free Cake Cutting with Additive Valuations
arXiv:2610.19690v1 Announce Type: cross Abstract: We prove that computing a complete contiguous $\varepsilon$-envy-free cake allocation is PPAD-complete for normalized rational piecewise-constant additive valuations. The…
- arXiv cs.AIresearchSceneAE: Scene Generation and Reconstruction in Queryable 3D-Anchored Latent Space
arXiv:2610.19708v1 Announce Type: cross Abstract: Recent video world models have increasingly adopted 3D memory mechanisms to integrate historical observations into a lightweight and persistent scene representation. This…
- arXiv cs.AIagentsNew Model, Old Habits: Behavior Transfer under Model Swapping in Multi-Session LLM Agents
arXiv:2610.19712v1 Announce Type: cross Abstract: Multi-session agents can switch between LLMs to balance performance and inference cost. Such switches require transferring a history for continuity, yet their effects on…
- arXiv cs.AIagentsUncertainty-Driven Self-Play for Robust Multi-Agent Driving Policies
arXiv:2610.19714v1 Announce Type: cross Abstract: Learning robust driving policies that generalize beyond their training domain remains a central challenge in motion planning. We propose an uncertainty-driven self-play s…
- arXiv cs.AIresearchONCship: A Large-Scale Underwater Acoustic Corpus for Ship Recognition
arXiv:2610.19722v1 Announce Type: cross Abstract: Recent advances in deep learning have significantly improved underwater acoustic vessel recognition. However, existing publicly available datasets are typically limited i…
- arXiv cs.AIresearchRecognizing Dialogue Ambiguity via Candidate Set Visual Grounding
arXiv:2610.19723v1 Announce Type: cross Abstract: Interpreting an ambiguous utterance in real-world interactions often requires context beyond a single utterance. When the utterance refers to objects in a visual scene, i…
- arXiv cs.AIresearchMitigating Video Hallucinations via Attention-Guided Representation Perturbation
arXiv:2610.19728v1 Announce Type: cross Abstract: Video large language models (Video LLMs) often generate responses unsupported by the input video. Contrastive decoding (CD) can mitigate these hallucinations, but its eff…
- arXiv cs.AIagentsWhat Happens to the Goal? Distinct Failures of Policy Alignment in Goal Misgeneralization
arXiv:2610.19731v2 Announce Type: replace-cross Abstract: Goal misgeneralization is a common failure mode in which an agent behaves competently out of distribution but pursues a proxy that coincided with the intended goa…
- arXiv cs.AIagentsExact Cut Complexity of Equal-Length Proportional Cake Cutting
arXiv:2610.19733v1 Announce Type: cross Abstract: We study proportional cake cutting under an equal-length constraint, where each of $n$ agents must receive a bundle of length exactly $1/n$ that is worth at least $1/n$ t…
- arXiv cs.AIresearchProtModernBERT: Compute-Efficient Protein Language Modeling
arXiv:2610.19738v1 Announce Type: cross Abstract: Large protein language models provide a powerful framework for learning sequence-function relationships and guiding experimental design. However, architectural improvemen…
- arXiv cs.AIresearchDoes the Linguistic Register of Thinking Matter? Wenyan as a Compact Reasoning Register for Chinese LLMs
arXiv:2610.19741v1 Announce Type: cross Abstract: Visible reasoning traces of Chinese reasoning-oriented LLMs are typically written in modern vernacular Chinese, which may be verbose under limited decoding budgets. We as…
- arXiv cs.AIagentsPRISMATIC : Prescription Risk Inspection System for Multi-Agent Treatment Interaction in Clinical Decision-Making
arXiv:2610.19762v1 Announce Type: cross Abstract: Medical prescribing errors for multimorbid patients, who require complex drug regimens, are a major patient safety concern. These errors often stem from fragmented decisi…
- arXiv cs.AIresearchLiFi: LiDAR Generation from Multi-View Images via Geometric and Semantic Collaborative Guidance
arXiv:2610.19786v1 Announce Type: cross Abstract: Generating LiDAR point clouds from multi-view camera images is a valuable task with applications in controllable data synthesis, cross-modal simulation and various percep…
- arXiv cs.AIagentsOne Agent per Zone: Decentralised Active Inference under Partial Observability for Multi-Zone HVAC Control on Edge Hardware
arXiv:2610.19790v1 Announce Type: cross Abstract: Multi-zone HVAC control is a shared-resource problem: zones on a floor share one fan and cooling coil, so each zone's demand affects its neighbours and the building's pea…
- arXiv cs.AIresearchStateCraft: Augmenting Video World Models with Abstract-State Reasoning
arXiv:2610.19795v1 Announce Type: cross Abstract: Video world models aim to simulate complex environments with realistic appearance and dynamics. Maintaining consistency over long interactions requires tracking past acti…
- arXiv cs.AIresearchVaryST: Generalizable Spatio-Temporal Forecasting Beyond the Closed-World Setting
arXiv:2610.19813v1 Announce Type: cross Abstract: Spatio-temporal forecasting is fundamental to many real-world systems, yet deployment environments are inherently varying: temporal distributions may evolve, spatial doma…
- arXiv cs.AIresearchMemory-Efficient Subspace Optimization with Residual Correction: From Momentum SGD to Muon
arXiv:2610.19844v1 Announce Type: cross Abstract: Memory-efficient subspace optimization has emerged as a practical approach to reducing the memory cost of LLM training while preserving optimization performance. Previous…
- arXiv cs.AIagentsDeltaStreamer: Towards Human-Like Agentic Streaming Video Understanding
arXiv:2610.19849v1 Announce Type: cross Abstract: We propose DeltaStreamer, a novel agentic framework for streaming video understanding inspired by how humans observe, remember, and investigate. Streaming video understan…
- arXiv cs.AIresearchLost in the Fallback: How Reliably Do Typed Decision Models Use Fallback Options?
arXiv:2610.19856v1 Announce Type: cross Abstract: Typed decision models (TDMs) are increasingly used in applications such as request routing and model selection, making reliable decisions critical to system performance.…