AI news archive.
19,861 articles, newest first, from the outlets listed on the sources page.
- arXiv cs.AIresearchHow Do Novice Describers Edit AI Drafts? The Role of Draft Quality in Audio Description Authoring
arXiv:2605.05348v2 Announce Type: replace-cross Abstract: Audio description (AD) narrates visual elements in video for blind and low-vision audiences. Recent work has shown that giving novice describers an AI-generated d…
- arXiv cs.AIresearchXL-SafetyBench: A Country-Grounded Cross-Cultural Benchmark for LLM Safety and Cultural Sensitivity
arXiv:2605.05662v2 Announce Type: replace-cross Abstract: Current LLM safety benchmarks are predominantly English-centric and often rely on translation, failing to capture country-specific harms. Moreover, they rarely ev…
- arXiv cs.AIresearchSelective Successor Eligibility Traces for RLVR
arXiv:2605.05965v2 Announce Type: replace-cross Abstract: Reinforcement Learning with Verifiable Rewards (RLVR) has become a key approach for improving the reasoning abilities of large language models. However, widely us…
- arXiv cs.AIresearchAdaGamma: State-Dependent Discounting for Temporal Adaptation in Reinforcement Learning
arXiv:2605.06149v2 Announce Type: replace-cross Abstract: The discount factor in reinforcement learning controls both the effective planning horizon and the strength of bootstrapping, yet most deep RL methods use a singl…
- arXiv cs.AIresearchMultimodal synthesis of MRI and tabular data with diffusion in a joint latent space via cross-attention
arXiv:2605.06699v2 Announce Type: replace-cross Abstract: We propose a multimodal latent diffusion model that jointly synthesizes volumetric magnetic resonance imaging (MRI) and tabular clinical data within a shared late…
- arXiv cs.AIresearchHIMMEL: Hierarchical Interleaved Multi-stream Motion Encoding for Long Video Understanding
arXiv:2605.08158v3 Announce Type: replace-cross Abstract: Long video understanding with multimodal language models suffers from three compounding bottlenecks: heavy decode cost to obtain dense RGB frames, token growth wi…
- arXiv cs.AIresearchDiscrete Flow Matching for Offline-to-Online Reinforcement Learning
arXiv:2605.12379v2 Announce Type: replace-cross Abstract: Many reinforcement learning (RL) tasks have discrete action spaces, but most generative policy methods based on diffusion and flow matching are designed for conti…
- arXiv cs.AIresearchBeyond GRPO and On-Policy Distillation: An Empirical Sparse-to-Dense Reward Principle for Language-Model Post-Training
arXiv:2605.12483v5 Announce Type: replace-cross Abstract: In settings where labeled verifiable training data is the binding constraint, each checked example should be allocated to the model and reward density where it is…
- arXiv cs.AIresearchDiscrete MeanFlow: One-Step Generation via Conditional Transition Kernels
arXiv:2605.12805v2 Announce Type: replace-cross Abstract: MeanFlow enables one-step generation in continuous spaces by learning an average velocity over a time interval rather than the instantaneous velocity field of flo…
- arXiv cs.AIresearchRevealing the Gap in Human and VLM Scene Description through Counterfactual Semantic Saliency
arXiv:2605.13047v3 Announce Type: replace-cross Abstract: Evaluating whether large vision-language models (VLMs) align with human perception for high-level semantic scene comprehension remains a challenge. Traditional wh…
- arXiv cs.AIagentsTowards Long-horizon Embodied Agents with Tool-Aligned Vision-Language-Action Models
arXiv:2605.13119v2 Announce Type: replace-cross Abstract: Vision-language-action (VLA) models are effective robot action executors, but they remain limited on long-horizon tasks due to the dual burden of extended closed-…
- arXiv cs.AIagentsConcurrency without Model Changes: Future-based Asynchronous Function Calling for LLMs
arXiv:2605.15077v2 Announce Type: replace-cross Abstract: Function calling, also known as tool use, is a core capability of modern LLM agents but is typically constrained by synchronous execution semantics. Under these s…
- arXiv cs.AIresearch$\alpha$-TCAV: A Unified Framework for Testing with Concept Activation Vectors
arXiv:2605.15688v2 Announce Type: replace-cross Abstract: Concept Activation Vectors (CAV) and the Testing with CAVs (TCAV) method are fundamental tools for concept-based explainability in deep learning, yet their practi…
- arXiv cs.AIresearchConditioned in Training, Dispensable at Inference: Typological Conditioning for Multilingual Speech Translation
arXiv:2605.16026v2 Announce Type: replace-cross Abstract: Multilingual speech translation frontends built on speech large language models typically condition on language identity, as a learned embedding or a prompted lan…
- arXiv cs.AIresearchLoopQ: Quantization for Looped Language Models
arXiv:2605.16343v2 Announce Type: replace-cross Abstract: Looped language models (LoopLMs) increase effective computational depth by repeatedly applying shared Transformer blocks without increasing the parameter count. H…
- arXiv cs.AIresearchThe Impact of AI Search on the Online Content Ecosystem: Evidence from Google and Reddit
arXiv:2605.16428v4 Announce Type: replace-cross Abstract: Search engines traditionally complement online content platforms by directing users seeking information to external websites. The emergence of generative AI searc…
- arXiv cs.AIresearchGlobal Automation Atlas
arXiv:2605.17086v3 Announce Type: replace-cross Abstract: Automation can displace or complement labour, but this need not be constant across economies. Existing exposure measures typically assign fixed scores to tasks or…
- arXiv cs.AIresearchLearning Higher-Order Interactions from Incomplete Spatiotemporal Data with Mixtures of Hypergraph Laplacians
arXiv:2605.17316v2 Announce Type: replace-cross Abstract: Traffic sensor data exhibit strong temporal and cross-sensor dependencies, yet long gaps erase both a sensor's local history and the joint observations needed to…
- arXiv cs.AIresearch$\boldsymbol{f}$-OPD: Stabilizing Long-Horizon On-Policy Distillation with Freshness-Aware Control
arXiv:2605.17862v2 Announce Type: replace-cross Abstract: Scaling on-policy distillation (OPD) for large language models (LLMs) confronts a fundamental tension: asynchronous execution is necessary for system efficiency,…
- arXiv cs.AIresearchTraining data attribution in diffusion models via mirrored unlearning and noise-consistent skew
arXiv:2605.17938v2 Announce Type: replace-cross Abstract: Training data attribution (TDA) should enable generative model interpretability and foster a variety of related downstream tasks. Nonetheless, current TDA approac…
- arXiv cs.AIresearchExact Symmetry as Algebra: Group-Structured Tensors that Enforce Physical Selection Rules
arXiv:2605.20440v3 Announce Type: replace-cross Abstract: Symmetry determines which physical responses of molecules and crystals are allowed and underlies many models used throughout the physical sciences. Yet several wi…
- arXiv cs.AIresearchStdlib or Third-Party? Empirical Performance and Correctness of LLM-Assisted Zero-Dependency Python Libraries
arXiv:2605.21405v2 Announce Type: replace-cross Abstract: Third-party Python libraries introduce dependency-management overhead, supply-chain risk, and deployment friction. We study when eliminating a dependency preserve…
- arXiv cs.AIresearchCTI2TTP: Evidence-Grounded TTP Extraction from Cyber Threat Intelligence via Diverge-then-Converge Verification
arXiv:2605.25836v2 Announce Type: replace-cross Abstract: Extracting MITRE ATT&CK techniques from cyber threat intelligence (CTI) reports is an open-set, multi-label problem requiring both high recall (not missing techni…
- arXiv cs.AIresearchGAC: Noise-Aware Adaptive Mixing for Hybrid SFT-RL Post-Training
arXiv:2605.26184v2 Announce Type: replace-cross Abstract: Hybrid post-training combining supervised fine-tuning (SFT) and reinforcement learning (RL) is the standard paradigm for aligning large language models, yet fixed…
- arXiv cs.AIresearchBeyond Questions: Evaluating the Stated Knowledge of LLMs
arXiv:2605.26937v5 Announce Type: replace-cross Abstract: Parametric knowledge in large language models (LLMs) is a cornerstone of their success, yet remains poorly understood. Existing knowledge benchmarks typically rel…
- arXiv cs.AIresearchHow Do Uncertainty Estimators Align with Hallucination Occurrence in LLMs?
arXiv:2605.27016v2 Announce Type: replace-cross Abstract: Large language models (LLMs) can hallucinate, but do model uncertainty estimators reliably reveal when they do? Although uncertainty estimators are increasingly u…
- arXiv cs.AIresearchWhen LLM Reward Design Fails: Diagnostic-Driven Refinement for Sparse Structured RL
arXiv:2605.28918v2 Announce Type: replace-cross Abstract: For sparse, structured reinforcement-learning tasks with semantic reward-function interfaces, LLM-generated reward shaping is better framed as debugging than one-…
- arXiv cs.AIresearchGEO-Bench: Benchmarking Ranking Manipulation in Generative Engine Optimization
arXiv:2605.29107v3 Announce Type: replace-cross Abstract: Large language models (LLMs) increasingly rank products, documents, and recommendations for user queries, which makes manipulating these rankings a growing concer…
- arXiv cs.AIagentsEvolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems
arXiv:2605.29790v2 Announce Type: replace-cross Abstract: LLM-based multi-agent systems (MAS) have emerged as an effective paradigm for complex and long-horizon tasks. However, in real-world tasks, MAS often exhibit vari…
- arXiv cs.AIresearchidSCD: Identifying Training Datasets through Semantic Correlation Descriptors
arXiv:2605.30462v2 Announce Type: replace-cross Abstract: Can a dataset be recognized from the spurious correlations it induces during training? We argue that datasets leave dataset-specific traces in a model's learned s…
- arXiv cs.AIresearchHoeffding Concept Bottleneck Models with Applications to Overhead Images
arXiv:2606.00082v2 Announce Type: replace-cross Abstract: Explainability of deep learning algorithms is critical for computer-vision applications with high-stakes decisions. Concept bottleneck models (CBM) have recently…
- arXiv cs.AIresearchReal2SAM2Real: Generative 3D Caches as Complementary Context for Video Diffusion
arXiv:2606.00299v2 Announce Type: replace-cross Abstract: Video Diffusion Models (VDMs) synthesize high-quality videos, but precise camera and motion control remains challenging when large viewpoint shifts, changing occl…
- arXiv cs.AIresearchShape Your Body: Value Gradients for Multi-Embodiment Robot Design
arXiv:2606.00702v2 Announce Type: replace-cross Abstract: We propose to turn generalist multi-embodiment value functions into reusable models for robot design. Instead of running a new reinforcement learning co-design lo…
- arXiv cs.AIresearchHow Much Can Repeated Running Buy? A Measured Variance Ceiling for LLM Code Evaluation
arXiv:2606.00920v2 Announce Type: replace-cross Abstract: A benchmark score is a measurement whose uncertainty has two sources: an aleatoric component from stochastic decoding and an epistemic component from the finite p…
- arXiv cs.AIresearchThe Value of Spike Timing: A Leakage-Resistant Benchmark of SNN Design Choices for Network Intrusion Detection
arXiv:2606.01442v3 Announce Type: replace-cross Abstract: Spiking neural networks (SNNs) are increasingly studied for network intrusion detection, but comparative evidence on how neuron models and spike encodings affect…
- arXiv cs.AIresearchLearning When to Translate for Multilingual Reasoning
arXiv:2606.02465v2 Announce Type: replace-cross Abstract: Reasoning language models (RLMs) achieve strong performance on complex reasoning tasks, but still exhibit substantial multilingual reasoning gaps, largely due to…
- arXiv cs.AIagentsEconomy of Minds: Emerging Multi-Agent Intelligence with Economic Interactions
arXiv:2606.02859v2 Announce Type: replace-cross Abstract: How can a population of agents self-orchestrate and self-adapt into stronger collective intelligence without centralized control? Inspired by Friedrich Hayek's ec…
- arXiv cs.AIagentsOpenAgenet / OAN White Paper: Open Infrastructure for Trusted Agent Interconnection
arXiv:2606.03161v5 Announce Type: replace-cross Abstract: OpenAgenet, abbreviated as OAN, is an open infrastructure project for trusted Agent interconnection. It addresses a problem that becomes visible when Agents move…
- arXiv cs.AIagentsOpenAgenet / OAN Yellow Paper: Technical Architecture for Trust-Governed Resource Identity and Discovery
arXiv:2606.03163v5 Announce Type: replace-cross Abstract: This yellow paper describes the technical architecture of OpenAgenet / OAN. OAN is a protocol-neutral trust layer for open Agent interconnection and discoverable…
- arXiv cs.AIresearchAdaptive Patching Is Harder Than It Looks For Time-Series Forecasting
arXiv:2606.04074v2 Announce Type: replace-cross Abstract: Adaptive patching has been proposed for time-series forecasting: allocate finer patches where the sequence looks locally informative. We compare three adaptive pa…
- arXiv cs.AIresearchInstant-Fold: In-Context Imitation Learning for Deformable Object Manipulation
arXiv:2606.04269v2 Announce Type: replace-cross Abstract: Deformable object manipulation (DOM) is challenging due to high-dimensional, partially observable states that evolve through long-horizon, topology-changing inter…
- arXiv cs.AIagentsNoRA: Evaluating Grounded Reasonableness in Visual First-person Normative Action Reasoning
arXiv:2606.04806v2 Announce Type: replace-cross Abstract: LLMs and agentic systems are increasingly deployed in social environments, making normative competence critical for safe and appropriate behavior. However, existi…
- arXiv cs.AIagentsPlan, Watch, Recover: A Benchmark and Architectures for Proactive Procedural Assistance
arXiv:2606.04970v2 Announce Type: replace-cross Abstract: Proactive multimodal assistants must decide when guidance is needed and what to say, while tracking progress through extended procedures and helping users recover…
- arXiv cs.AIresearchImproving Heart-Focused Medical Question Answering in LLMs via Variance-Aware Rubric Rewards with GRPO
arXiv:2606.05174v2 Announce Type: replace-cross Abstract: Large language models can support medical question answering, but privacy, cost, and reliability still limit their clinical use in focused domains. Can rubric-bas…
- arXiv cs.AIresearchTAM: Torque Adaptation Module for Robust Motion Transfer in Manipulation
arXiv:2606.06218v3 Announce Type: replace-cross Abstract: A policy tuned for one robot often behaves differently on another, whether due to the sim-to-real gap, unknown payloads, or the differing dynamics of two instance…
- arXiv cs.AIresearchThe Geography of Algorithmic Judgment: LLM Intermediaries, Place Identity, and Racial Steering in Housing Search
arXiv:2606.06694v2 Announce Type: replace-cross Abstract: Large language models (LLMs) are rapidly assuming an intermediary role in housing search through the integration of listing platforms within conversational interf…
- arXiv cs.AIresearchDataEvolver: Automatic Data Preparation for Large Language Models through Multi-Level Self-Evolving
arXiv:2606.07001v3 Announce Type: replace-cross Abstract: High-quality training data is essential to large language models (LLMs) and typically requires extensive and costly manual curation. Automatic data preparation sy…
- arXiv cs.AIagentsOne Skill, Two Masters: Serving Users and Attackers through Skill Injection
arXiv:2606.07943v3 Announce Type: replace-cross Abstract: Large language model agents use skills that package reusable instructions, code, and resources. Existing skill-injection attacks exploit trust in these packages b…
- arXiv cs.AIresearchFiberTune: Preserving Action-Fiber Visual Residuals in Vision-Language-Action Fine-Tuning
arXiv:2606.08653v4 Announce Type: replace-cross Abstract: Action-supervised fine-tuning of vision-language-action (VLA) policies can compress visual structure that is weakly constrained by the action objective. We formal…
- arXiv cs.AIagentsBeyond Locality: Feature-Boundary Auditing for OS-Integrated AI
arXiv:2606.10173v2 Announce Type: replace-cross Abstract: On-device inference reduces exposure to remote infrastructure, but it does not establish privacy for an operating-system assistant that aggregates cross-applicati…