AI news archive.
19,861 articles, newest first, from the outlets listed on the sources page.
- arXiv cs.AIagentsAsynchrony Is Nearly Free for Evolution Strategies on Long-Horizon LLM Agentic Tasks
arXiv:2610.04196v2 Announce Type: replace Abstract: Synchronous policy updates can limit the efficiency of post-training for long-horizon LLM agents. When trajectories span multiple interaction turns, completion times ca…
- arXiv cs.AIresearchALoDLM: Adaptively Looped Diffusion Language Models
arXiv:2610.04198v1 Announce Type: new Abstract: Diffusion language models (DLMs) enable fast generation by predicting multiple tokens in parallel, but their practical adoption remains limited by a persistent quality gap…
- arXiv cs.AIresearchFine-Tuning VLM for Enhancing AI's Spatial Intelligence: Understanding 3D and 2D Rotations
arXiv:2610.04206v3 Announce Type: replace Abstract: Spatial intelligence is a fundamental skill in multiple domains, such as Science, Technology, Engineering, and Mathematics (STEM), Medicine, Architecture, and Construct…
- arXiv cs.AIresearchTCMClinicalReason-Bench: Can Language Models Reason from Pathogenesis to Prescription over Real-World Clinical Cases?
arXiv:2610.04215v1 Announce Type: new Abstract: Large language models (LLMs) can generate clinical narratives that are insufficiently grounded in patient-specific evidence. In traditional Chinese medicine (TCM), errors c…
- arXiv cs.AIresearchOn the Steering Dimensionality of Refusal in Language Models
arXiv:2610.04245v1 Announce Type: new Abstract: Existing activation steering methods often assume that a high-level concept can be mediated by a single steering direction. To support this, two complementary interventions…
- arXiv cs.AIresearchSpec2Game: Can LLMs Generate Complete Playable Games from Detailed Specifications?
arXiv:2610.04253v1 Announce Type: new Abstract: Generating an executable program does not necessarily mean that it correctly implements the behavioral requirements specified in natural language. To evaluate large languag…
- arXiv cs.AIagentsCADForge: Agentic Single-View CAD Reconstruction with Explicit Geometry Reasoning
arXiv:2610.04262v1 Announce Type: new Abstract: Reconstructing editable parametric CAD models from a single-view image is of great practical value for modern manufacturing, yet remains challenging due to incomplete geome…
- arXiv cs.AIresearchDense Neuro-Symbolic Reasoning in a Unified Geometry State
arXiv:2610.04280v1 Announce Type: new Abstract: Geometry reasoning is naturally stateful: solving a problem repeatedly alternates between structural proposals and exact deductions. We formulate this process as dense neur…
- arXiv cs.AIagentsVIGIL: Verifier-Informed Gated Improvement Loop for Spreadsheet Question Answering
arXiv:2610.04287v1 Announce Type: new Abstract: Enterprise agents should improve from delayed feedback without allowing every correction to rewrite system behavior. We study continual harness learning for corpus-level sp…
- arXiv cs.AIagentsLMBuild: Evaluating LLM Agents for Generating Buildable and Functional Structures
arXiv:2610.04292v1 Announce Type: new Abstract: LLM-based agents are increasingly capable of generating complex 3D structures, with the potential to reshape how objects are designed and realized in the physical world. Ye…
- arXiv cs.AIresearchLanguage-Conditioned Token and Reasoning Efficiency in Large Language Models: A Paired Cross-Lingual Study Protocol
arXiv:2610.04295v1 Announce Type: new Abstract: Large language models incur language-dependent representation and inference costs, but existing comparisons often conflate input language, assigned observable-trace languag…
- arXiv cs.AIresearchEnvDreamer: Large-Scale Multimodal-to-Environment Generation for Embodied AI
arXiv:2610.04301v1 Announce Type: new Abstract: Large datasets and high capacity models have accelerated progress in vision and language. This work introduces a platform aimed at bringing comparable gains to embodied lea…
- arXiv cs.AIresearchMOIRA: Mass-Oriented Indexing with Ragged Attention for Long-Context Decoding
arXiv:2610.04313v1 Announce Type: new Abstract: Long-context decoding is limited by memory bandwidth, because every output token reads the KV cache of every layer. Sparse decoding reduces this cost by reading only part o…
- arXiv cs.AIresearchFrom Latent Space to Jacobian Space: Measuring, Evading, and Training Against Safety-Content Accessibility
arXiv:2610.04316v1 Announce Type: new Abstract: Output-only safety monitoring sees only the end of a model's computation, yet the model computes its answer before emitting it: what it is internally poised to say is safet…
- arXiv cs.AIresearchBidirectional Preference Synthesis: Learning Prompt-Conditioned Preferences from Boundary Failures
arXiv:2610.04328v1 Announce Type: new Abstract: Correction-based offline preference pipelines commonly treat model failures only as rejected responses under the original prompt. This supervision is incomplete for boundar…
- arXiv cs.AIresearchSuppressing Pressure, Amplifying Evidence: Self-Guided Attention Steering to Mitigate Sycophancy and Stubbornness
arXiv:2610.04329v1 Announce Type: new Abstract: Reliable language models should resist unsupported user pressure while effectively using objective contextual information. However, models may exhibit sycophancy by yieldin…
- arXiv cs.AIresearchShadowMiner v1 - An Experience Report on Implementing and Measuring a Problem-and-Hypothesis Discovery Engine
arXiv:2610.04339v1 Announce Type: new Abstract: ShadowMiner v1 is a system that automatically discovers research problems and generates hypotheses from AI papers. It is a nine-stage pipeline. It structures documents into…
- arXiv cs.AIresearchFunctionally Equivalent or Not? Graph-Grounded Differential Surrogate Execution for Code Equivalence
arXiv:2610.04371v1 Announce Type: new Abstract: Determining whether two programs are functionally equivalent is central to code modernization, patch validation, refactoring, and code-generation evaluation. Yet the usual…
- arXiv cs.AIagentsDo Tool Calls Execute as Intended? Measuring and Repairing Intent-Execution Correspondence in LLM Agents
arXiv:2610.04375v1 Announce Type: new Abstract: Agents built on large language models (LLMs) build and run software through tool calls. A call reaches its program through several hops, and any hop can change the call wit…
- arXiv cs.AIagentsAgentPersonaBench: Benchmarking Persona-Driven User Simulation
arXiv:2610.04379v1 Announce Type: new Abstract: We introduce AgentPersonaBench (APB), a benchmark evaluating whether persona conditioning faithfully steers downstream agent behavior. While language models are increasingl…
- arXiv cs.AIresearchTrustMed-RL: Long-Horizon Reinforcement Learning for Evidence-Grounded Clinical Diagnosis
arXiv:2610.04387v1 Announce Type: new Abstract: Medical language models can produce correct diagnoses despite incomplete investigations and unsupported reasoning. To support long-horizon, evidence-grounded diagnosis, we…
- arXiv cs.AIresearchTimeNet: An Extensible Unified Data Infrastructure for Next-Generation Temporal Foundation Models
arXiv:2610.04407v1 Announce Type: new Abstract: Temporal Foundation Models (TFMs) aim to generalize across domains, datasets, and tasks. Yet, their development remains constrained by fragmented, task-specific data format…
- arXiv cs.AIagentsCORE-RL: Confidence-Oriented Reliability Evaluation of Black-Box Reinforcement Learning Policies
arXiv:2610.04418v1 Announce Type: new Abstract: The deployment of Reinforcement Learning (RL) agents in critical domains must be preceded with a pipeline to evaluate the alignment of the RL agent with complex multi-objec…
- arXiv cs.AIagentsAsking Earns Nothing: Scoring the Decision to Act in BFCL Multi-Turn
arXiv:2610.04429v1 Announce Type: new Abstract: An agent that lacks the information it needs should ask rather than act, and the task definitions of agent leaderboards say so. BFCL multi-turn builds two of its four categ…
- arXiv cs.AIagentsMERCI Cards: An LLM Evaluation and Deployment Framework for High-Stakes Domains
arXiv:2610.04430v1 Announce Type: new Abstract: As LLMs are increasingly deployed in high-stakes professional workflows, engineers and researchers require principled protocols to systematically track, monitor, and improv…
- arXiv cs.AIagentsWhat Does a Harness Buy? Tokens, Mostly
arXiv:2610.04433v1 Announce Type: new Abstract: A coding agent is a language model wrapped in a harness: the system prompt, the tool set, and the context management that turn a chat model into something that can work ins…
- arXiv cs.AIagentsCRAFT: An Agentic Spreadsheet Form Filling System with Template Awareness
arXiv:2610.04437v1 Announce Type: new Abstract: Spreadsheet form filling requires agents to consolidate external evidence, ground values to precise cells, and preserve irregular template structure. Errors in early edits…
- arXiv cs.AIresearchRAGrasp: Geometry-Semantic Template Retrieval and Grasp Transfer
arXiv:2610.04438v1 Announce Type: new Abstract: We present RAGrasp, a retrieval-augmented pipeline for planar parallel-jaw grasping from a compact set of locally collected, grasp-annotated RGB-D (color and depth) templat…
- arXiv cs.AIresearchCausally Fair Generation with Large Language Models
arXiv:2610.04444v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used to generate, complete, and transform information in settings where their outputs can shape consequential decisions, raisi…
- arXiv cs.AIagentsUnderstanding Generative AI Use in Programming MOOCs: The Role of Course Context and Learner Characteristics
arXiv:2610.04447v1 Announce Type: new Abstract: The increasing availability of generative artificial intelligence (GenAI) tools, such as ChatGPT and code-completion assistants, raises questions about how learners integra…
- arXiv cs.AIagentsTrinity: Self-Evolving Vision-Language Models with a Self-Verifier
arXiv:2610.04469v1 Announce Type: new Abstract: Self-evolving vision-language models (VLMs), a form of self-improvement in which a model generates its own training data from unlabeled images, are a promising route toward…
- arXiv cs.AIresearchReactivating Alignment: Defending LLMs from Jailbreaks via Intention-Aware Input-Output Matching
arXiv:2610.04470v1 Announce Type: new Abstract: Large language models (LLMs) remain vulnerable to jailbreak attacks that conceal harmful intent within complex adversarial prompts. Existing defenses primarily rely on inpu…
- arXiv cs.AIresearchSemantic Causal-Factor Inference from Aviation Incident Narratives Using A Variational Autoencoder with Cosine-Similarity-Based Reconstruction
arXiv:2610.04472v1 Announce Type: new Abstract: Aviation accident and incident investigations generate extensive unstructured textual information containing evidence relevant to the causes and contributing factors of saf…
- arXiv cs.AIresearchInferOpt: Constrained Multi-Objective Search for LLM Inference Configurations
arXiv:2610.04473v1 Announce Type: new Abstract: Serving an LLM means setting dozens of inference-time knobs, from per-layer KV retention to per-layer expert counts. Practice sets them with mechanism-specific heuristics t…
- arXiv cs.AIresearchVCLMU: Mechanism-Centric Virtual Cell World Modeling for Perturbation Response
arXiv:2610.04475v1 Announce Type: new Abstract: Predicting cellular responses to genetic perturbations is a central capability for virtual cells and a key step toward computational modeling of biological interventions. M…
- arXiv cs.AIresearchManifoldCache: Training-Free Diffusion Acceleration via Constraint Manifold Caching
arXiv:2610.04510v2 Announce Type: replace Abstract: Diffusion models for structured scientific generation must produce samples satisfying hard geometric constraints imposed by physics, chemistry, or biology, yet inferenc…
- arXiv cs.AIagentsTowards Credible Agent-Based Policy Simulations: Disentangling Opportunities and Preferences in a Financial Inclusion Case Study of Egypt
arXiv:2610.04515v1 Announce Type: new Abstract: Credibility is a central topic for agent-based models intended to support policy-making. Simulations must not only represent the target scenarios and their core dynamics bu…
- arXiv cs.AIagentsEvoCast: Reliable Autonomous Research Agents for Iterative Forecasting Architecture Evolution
arXiv:2610.04517v1 Announce Type: new Abstract: Deep time-series forecasting models have rapidly diversified, yet adapting them to a specific task still requires extensive expert effort in model selection, mechanism diag…
- arXiv cs.AIresearchAction-Consequence Alignment for Reliable Planning and Self-Improving in Latent World Models
arXiv:2610.04539v1 Announce Type: new Abstract: Latent world models learn to predict observed transitions, yet low prediction error alone does not guarantee reliable planning. Inspired by self tickling experiments in neu…
- arXiv cs.AIagentsAutonomous Structuring of Radiology Reports Across Modalities at Archive Scale Using an Open-Weight Large Language Model
arXiv:2610.04541v1 Announce Type: new Abstract: Purpose: To develop and evaluate an open-weight large language model (LLM) pipeline that converts an entire archive of free-text radiology reports into structured reports w…
- arXiv cs.AIagentsDecide, Ask, or Defer: Clinical LLMs under Incomplete Evidence
arXiv:2610.04542v2 Announce Type: replace Abstract: Clinical LLMs must decide not only what diagnosis to produce, but also whether the available evidence is sufficient for autonomous decision making. Binary DECIDE/ABSTAI…
- arXiv cs.AIagentsLabel Agreement Does Not Measure Authorization
arXiv:2610.04544v1 Announce Type: new Abstract: Many groups now delegate label ontology and metadata harmonization to agentic LLM pipelines. We built one and audited it. Our aggregate scores looked healthy, but the pipel…
- arXiv cs.AIagents$\mathrm{TRIZ}^{a}$: Guiding Agent Evolution from Pattern Recognition to Solution Invention
arXiv:2610.04555v1 Announce Type: new Abstract: We propose $\mathrm{TRIZ}^{a}$ (TRIZ exponentiated by an agent), a general R\&D automation paradigm that combines TRIZ inventive theory with LLM-driven agent evolutionary s…
- arXiv cs.AIresearchRecursive Improvement of a Differentiable Scientific Software Ecosystem
arXiv:2610.04561v2 Announce Type: replace Abstract: Differentiable programming connects scientific computation with gradient-based inference, learning and design. Extending these capabilities across a heterogeneous softw…
- arXiv cs.AIresearchStrong Helps Weak: Directional Cross-Modal Alignment Transfer in Multi-modal LLMs
arXiv:2610.04580v1 Announce Type: new Abstract: Multi-modal large language models (MLLMs) achieve strong modality understanding by pairing a large language model (LLM) with an encoder for a target modality such as vision…
- arXiv cs.AIresearchBounds, Decompositions and Null Behaviour of KRATOS: A Mathematical Specification of a Recognition-Comparability Diagnostic
arXiv:2610.04592v1 Announce Type: new Abstract: KRATOS is a group-structured bibliometric diagnostic that compares the distribution of documents (participation) with the distribution of citation weight (recognition) over…
- arXiv cs.AIresearchLatentIndex: Cross-Layer Sharing with Layer-Specific Selection for Sparse Attention
arXiv:2610.04635v1 Announce Type: new Abstract: Sparse attention reduces core-attention computation, but its indexers still incur repeated selection work and per-layer key-cache storage. Reusing selected indices across l…
- arXiv cs.AIresearchSEIS: Self-Evolving Inference Systems
arXiv:2610.04646v1 Announce Type: new Abstract: Inference systems determine how fast and how cheaply language models can be served, so making them faster has direct practical value. However, prior work focuses mostly on…
- arXiv cs.AIresearchPermVLA: Factorization Order as a Regularizer for VLA Learning
arXiv:2610.04659v1 Announce Type: new Abstract: Vision-language-action (VLA) policies commonly learn action chunks through a fixed left-to-right (LTR) factorization, although the same expert trajectory distribution admit…
- arXiv cs.AIresearchEfficient Neural Surrogates for Linear Radiation Transport on the Lattice and Hohlraum benchmarks
arXiv:2610.04665v1 Announce Type: new Abstract: Linear radiation transport equations (RTEs) form the simulation foundations underpinning design and analysis tasks in nuclear engineering, inertial confinement fusion, medi…