AI news archive.
19,861 articles, newest first, from the outlets listed on the sources page.
- arXiv cs.AIresearchThink Right: Learning to Mitigate Under-Over Thinking via Adaptive, Attentive Compression
arXiv:2510.01581v2 Announce Type: replace-cross Abstract: Recent thinking models are capable of solving complex reasoning tasks by scaling test-time compute, but this scaling should be allocated in line with task difficu…
- arXiv cs.AIresearchInstruction Retrieval at Inference Time for Small Language Models
arXiv:2510.13935v3 Announce Type: replace-cross Abstract: The facts a language model stores are tied to its parameter count, so small models that fit on edge devices fail on expert problems, which need specialized knowle…
- arXiv cs.AIresearchFrom Charts to Code: A Hierarchical Benchmark for Multimodal Models
arXiv:2510.17932v5 Announce Type: replace-cross Abstract: We introduce Chart2Code, a new benchmark for evaluating the chart understanding and code generation capabilities of large multimodal models (LMMs). Chart2Code is…
- arXiv cs.AIresearchMedRECT: A Bilingual Medical Reasoning Benchmark for Error Correction in Clinical Texts
arXiv:2511.00421v2 Announce Type: replace-cross Abstract: Large language models (LLMs) show promise in medical applications, but their ability to detect and correct errors in clinical texts remains under-evaluated, parti…
- arXiv cs.AIresearchFoCLIP: A Feature-Space Misalignment Framework for CLIP-Based Image Manipulation and Detection
arXiv:2511.06947v2 Announce Type: replace-cross Abstract: The well-aligned attribute of CLIP-based models enables its effective application like CLIPscore as a widely adopted image quality assessment metric. However, suc…
- arXiv cs.AIresearchEDGC: Entropy-driven Dynamic Gradient Compression for Efficient LLM Training
arXiv:2511.10333v2 Announce Type: replace-cross Abstract: Training large language models (LLMs) at scale incurs substantial communication overhead, while static gradient compression cannot adapt to gradient evolution and…
- arXiv cs.AIresearchFast Generalized Neural Tangent Kernel Statistics via Trace Estimation
arXiv:2511.10796v2 Announce Type: replace-cross Abstract: The empirical state-space Neural Tangent Kernel (NTK) describes the local learning geometry of a finite-width neural network, but computing it explicitly is almos…
- arXiv cs.AIresearchGraphToxin: Reconstructing Full Unlearned Graphs from Graph Unlearning
arXiv:2511.10936v3 Announce Type: replace-cross Abstract: Graph unlearning (GU) has emerged as a promising solution to comply with "the right to be forgotten" regulations by enabling the removal of sensitive information…
- arXiv cs.AIresearchGenerative AI Purpose-built for Social and Mental Health: A Real-World Pilot
arXiv:2511.11689v4 Announce Type: replace-cross Abstract: Generative AI chatbots built for mental health could extend access to care, but evidence from real-world use is limited. We report a single-arm, naturalistic pilo…
- arXiv cs.AIresearchFrom Compound Figures to Medical Multi-image Reasoning: Scaling Multimodal Large Language Models with Biomedical Literature
arXiv:2511.22232v2 Announce Type: replace-cross Abstract: Multimodal large language models (MLLMs) are increasingly capable in medical imaging, yet most focus on single-image settings. Clinical interpretation often requi…
- arXiv cs.AIresearchProvable Benefit of SignGD: A Minimal Model Under Heavy-Tailed Class Imbalance
arXiv:2512.00763v2 Announce Type: replace-cross Abstract: Adaptive and non-Euclidean optimizers often outperform Euclidean methods such as stochastic gradient descent (SGD) in language modeling by a large margin. Existin…
- arXiv cs.AIresearchDiffusion-Augmented Markov Decision Processes for Maximum Entropy Reinforcement Learning
arXiv:2512.02019v4 Announce Type: replace-cross Abstract: Diffusion models provide an expressive framework for sampling from complex, unnormalized distributions. In this work, we extend Maximum Entropy Reinforcement Lear…
- arXiv cs.AIresearchActive Learning with Imperfect Labels: Optimal Labeler Assignment and Sample Selection
arXiv:2512.12870v2 Announce Type: replace-cross Abstract: Active Learning (AL) is commonly used in applications where labeling data is expensive or time-consuming. In practice, however, labels are often noisy due to vary…
- arXiv cs.AIresearchEdge-Aware and Content-Adaptive Infrared Gas Leak Detection for Industrial Safety Monitoring
arXiv:2512.23234v4 Announce Type: replace-cross Abstract: Infrared gas leak detection is important for industrial safety and environmental monitoring, but automatic detection remains challenging because gas plumes are of…
- arXiv cs.AIresearchContext-Aware Classification and Grading of Sensitive Information in Online Conversational Health Data
arXiv:2601.09717v2 Announce Type: replace-cross Abstract: Online medical consultations contain sensitive health information whose privacy implications depend not only on the entities mentioned but also on how those entit…
- arXiv cs.AIresearchSpace Filling Curves is All You Need: Communication-Avoiding Matrix Multiplication Made Simple
arXiv:2601.16294v3 Announce Type: replace-cross Abstract: General Matrix Multiplication (GEMM) is the cornerstone of HPC workloads and Deep Learning. State-of-the-art (SOTA) vendor libraries tune tensor layouts, parallel…
- arXiv cs.AIresearchART for Diffusion Sampling: A Reinforcement Learning Approach to Timestep Schedule
arXiv:2601.18681v3 Announce Type: replace-cross Abstract: We consider time discretization for score-based diffusion models to generate samples from a learned reverse-time dynamic on a finite grid. Uniform and hand-crafte…
- arXiv cs.AIresearchFunctional Subspace, where language models can use vector algebra to solve problems
arXiv:2602.01687v3 Announce Type: replace-cross Abstract: Large language models (LLMs) were invented for natural language tasks such as translation, but they have proved that they can perform highly complex functions acr…
- arXiv cs.AIresearchResidualKV: Residual-Based KV Cache Compression for Efficient Long-Context Inference
arXiv:2602.08005v2 Announce Type: replace-cross Abstract: Efficient long-context inference faces two coupled bottlenecks: KV-cache memory grows linearly with context length, while attention computation grows quadraticall…
- arXiv cs.AIresearchPISCO: Precise Video Instance Insertion with Sparse Control
arXiv:2602.08277v3 Announce Type: replace-cross Abstract: The landscape of AI video generation is undergoing a pivotal shift: moving beyond general generation - which relies on exhaustive prompt-engineering and "cherry-p…
- arXiv cs.AIresearchSemantic Chunking and the Entropy of Natural Language
arXiv:2602.13194v3 Announce Type: replace-cross Abstract: Humans and large language models can predict next letter or word from its prior context much better than random guessing, indicating strong redundancy of language…
- arXiv cs.AIresearchUniST-Pred: A Robust Unified Framework for Spatio-Temporal Traffic Forecasting in Transportation Networks Under Disruptions
arXiv:2602.14049v3 Announce Type: replace-cross Abstract: Spatio-temporal traffic forecasting is a core component of intelligent transportation systems, supporting various downstream tasks such as signal control and netw…
- arXiv cs.AIresearchITO: Multi-View Alignment and Training-Time Fusion for Image-Text Pretraining
arXiv:2603.02767v5 Announce Type: replace-cross Abstract: Image--text contrastive pretraining has become a dominant paradigm for visual representation learning, yet existing methods often yield representations that remai…
- arXiv cs.AIresearchMoEless: Efficient MoE LLM Serving with Serverless Experts
arXiv:2603.06350v2 Announce Type: replace-cross Abstract: Large Language Models (LLMs) increasingly adopt Mixture-of-Experts (MoE) architectures to scale efficiently under stringent resource constraints. However, MoE's s…
- arXiv cs.AIresearchDelta-K: Boosting Multi-Instance Generation via Cross-Attention Augmentation
arXiv:2603.10210v2 Announce Type: replace-cross Abstract: While Diffusion Models excel in text-to-image synthesis, they frequently suffer from catastrophic concept omission when generating complex multi-instance scenes.…
- arXiv cs.AIresearchExpertGen: Scalable Sim-to-Real Expert Policy Learning from Imperfect Behavior Priors
arXiv:2603.15956v4 Announce Type: replace-cross Abstract: Learning generalizable and robust behavior cloning policies requires large volumes of high-quality robotics data. While human demonstrations (e.g., through teleop…
- arXiv cs.AIresearchLanguage-Conditioned World Modeling for Visual Navigation
arXiv:2603.26741v2 Announce Type: replace-cross Abstract: Goal-conditioned visual navigation has been a long-standing testbed for embodied AI. We study a natural language-conditioned variant, language-conditioned visual…
- arXiv cs.AIagentsKill-Chain Canaries: Stage-Level Tracking of Prompt Injection Across Attack Surfaces and Five Production LLMs
arXiv:2603.28013v4 Announce Type: replace-cross Abstract: Multi-agent LLM systems now read documents, web pages and tool results on behalf of users, yet their resistance to prompt injection is usually reported as one num…
- arXiv cs.AIresearchTensorHub: Scalable and Elastic Weight Transfer for LLM RL Training
arXiv:2604.09107v2 Announce Type: replace-cross Abstract: Modern LLM reinforcement learning (RL) workloads require a high-performance weight transfer system to scale training across heterogeneous compute resources. Howev…
- arXiv cs.AIresearchVisionFoundry: Teaching VLMs Visual Perception with Synthetic Images
arXiv:2604.09531v2 Announce Type: replace-cross Abstract: Vision-language models (VLMs) still struggle with visual perception tasks such as spatial understanding and viewpoint recognition, largely because natural image d…
- arXiv cs.AIresearchGrounded World Model: Latent Planning with Language Goals
arXiv:2604.11751v2 Announce Type: replace-cross Abstract: World models such as DINO-WM and LeWM specify the goal with an image, which is difficult to obtain in advance for novel tasks. We present the Grounded World Model…
- arXiv cs.AIresearchFinetuning-Free Diffusion Model with Adaptive Constraint Guidance for Inorganic Crystal Structure Generation
arXiv:2604.13354v4 Announce Type: replace-cross Abstract: Generative diffusion models have emerged as powerful tools for the discovery of inorganic crystal structures, yet steering their sampling process toward user-defi…
- arXiv cs.AIagentsFederation over Text: Insight Sharing for Multi-Agent Reasoning
arXiv:2604.16778v3 Announce Type: replace-cross Abstract: Modern agents specialize in varying domains while there is no clear approach combining different domain skills. We propose a federated learning-like framework, Fe…
- arXiv cs.AIresearchNeuroAI and Beyond: Bridging Between Advances in Neuroscience and Artificial Intelligence
arXiv:2604.18637v3 Announce Type: replace-cross Abstract: Neuroscience and Artificial Intelligence (AI) have made impressive progress in recent years but remain only loosely interconnected. Based on a workshop convened b…
- arXiv cs.AIagentsBimanual Robot Manipulation via Multi-Agent In-Context Learning
arXiv:2604.20348v3 Announce Type: replace-cross Abstract: Large Language Models (LLMs) have emerged as powerful reasoning engines for embodied control. In particular, In-Context Learning (ICL) enables off-the-shelf, text…
- arXiv cs.AIresearchBeyond LoRA vs. Full Fine-Tuning: Gradient-Guided Optimizer Routing for LLM Adaptation
arXiv:2605.07111v3 Announce Type: replace-cross Abstract: Recent literature on fine-tuning Large Language Models highlights a fundamental debate. While Full Fine-Tuning (FFT) provides greater representational plasticity,…
- arXiv cs.AIresearchVideo Understanding Reward Modeling: A Robust Benchmark and Performant Reward Models
arXiv:2605.07872v2 Announce Type: replace-cross Abstract: Multimodal reward models have advanced substantially in text and image domains, yet progress in video understanding reward modeling remains severely limited by th…
- arXiv cs.AIresearchThe Cartesian Shortcut: Re-evaluate Vision Reasoning in Polar Coordinate Space
arXiv:2605.09883v3 Announce Type: replace-cross Abstract: As current Multimodal Large Language Models rapidly saturate canonical visual reasoning benchmarks, a key question emerges: do these strong scores genuinely refle…
- arXiv cs.AIresearchSpeech-based Psychological Crisis Assessment using LLMs
arXiv:2605.10027v2 Announce Type: replace-cross Abstract: Psychological support hotlines provide critical support for individuals experiencing mental health emergencies, yet current assessments largely rely on human oper…
- arXiv cs.AIresearchImage AID via continuous-time reinforcement learning
arXiv:2605.13010v2 Announce Type: replace-cross Abstract: We study image inpainting with generative diffusion models. Existing methods typically either train dedicated task-specific models, or adapt a pretrained diffusio…
- arXiv cs.AIresearchDiagnosing Training Inference Mismatch in LLM Reinforcement Learning via a Zero-Mismatch Reference
arXiv:2605.14220v2 Announce Type: replace-cross Abstract: Modern LLM RL systems separate rollout generation from policy optimization. These two stages are expected to produce token probabilities that match exactly. Howev…
- arXiv cs.AIresearchNeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces
arXiv:2605.14698v2 Announce Type: replace-cross Abstract: Foundation models (FMs) promise to extract unified representations that generalize across downstream tasks. They have emerged across fields, including electroence…
- arXiv cs.AIresearchLatent Video Prediction for World Modeling: An Evaluation Uncovering Intriguing Favorable Evidence
arXiv:2605.15618v2 Announce Type: replace-cross Abstract: Self-supervised video models are increasingly framed as world models, yet they are still evaluated almost entirely on clean video and reported as a final task sco…
- arXiv cs.AIagentsWASIL: In-the-Wild Arabic Spoken Interactions with LLMs
arXiv:2605.16364v3 Announce Type: replace-cross Abstract: Large Language Models (LLMs) voice assistants are commonly built as cascaded Automatic Speech recognition (ASR) to LLM systems, where recognition errors can disto…
- arXiv cs.AIagentsCHI-Bench: Can AI Agents Automate End-to-End, Long-Horizon, Policy-Rich Healthcare Workflows?
arXiv:2605.16679v4 Announce Type: replace-cross Abstract: End-to-end automation of realistic healthcare operations stresses three capabilities underrepresented in current benchmarks: policy density, decisions must be gro…
- arXiv cs.AIagentsDexHoldem: An Agentic Robotics Benchmark for Dexterous Manipulation in Texas Hold'em
arXiv:2605.18727v3 Announce Type: replace-cross Abstract: Evaluating embodied systems with real dexterous hardware requires more than isolated motor-skill tests: an agent must perceive a changing scene (e.g. a tabletop),…
- arXiv cs.AIresearchWhen Does Self-Supervised Learning Transfer to Time-Series Tasks?
arXiv:2605.19462v2 Announce Type: replace-cross Abstract: Self-supervised learning (SSL) assumes that solving pretext tasks on unlabeled data yields representations that transfer effectively across downstream application…
- arXiv cs.AIresearchTrusted Weights, Treacherous Optimizations? Optimization-Triggered Backdoor Attacks on LLMs
arXiv:2605.20641v2 Announce Type: replace-cross Abstract: Inference optimization aims to minimize the latency and resource consumption of LLM inference while preserving output quality, making large-scale deployment pract…
- arXiv cs.AIresearchRethinking Cross-Layer Information Routing in Diffusion Transformers
arXiv:2605.20708v4 Announce Type: replace-cross Abstract: Diffusion Transformers (DiTs) have become a de facto backbone of modern visual generation, and nearly every major axis of their design -- tokenization, attention,…
- arXiv cs.AIresearchUnderstanding Multimodality in Generative Behavioral Cloning
arXiv:2605.22493v2 Announce Type: replace-cross Abstract: Behavioral cloning becomes challenging when the same observation admits several valid actions. We study how generative behavioral-cloning policies represent such…