AI news archive.
19,861 articles, newest first, from the outlets listed on the sources page.
- arXiv cs.AIresearchReG-SAM: Reference Graph-Driven SAM for 2D Foundational Vessel Segmentation
arXiv:2609.31160v1 Announce Type: cross Abstract: Vessel segmentation in medical images is essential for many clinical tasks, ranging from diagnosis to treatment planning. However, it remains challenging due to complex v…
- arXiv cs.AIresearchSPADE: Escaping the Popularity-Similarity Frontier to Measure Serendipitous Recommendations
arXiv:2609.31164v1 Announce Type: cross Abstract: Recommender systems engineer serendipity to foster active exploration and break predictable consumption cycles. The problem with existing offline beyond-accuracy metrics…
- arXiv cs.AIagentsAgentRecommender: LLM Agents Enable Customizable Recommender Systems on the User Side
arXiv:2609.31166v1 Announce Type: cross Abstract: Recommender systems have traditionally been developed for platforms. However, this has given rise to many phenomena that may be advantageous for platform lock-in but are…
- arXiv cs.AIresearchImproving Visual Sensitivity of LLMs on Multimodal Machine Translation with Metric-based Loss Weighting
arXiv:2609.31169v1 Announce Type: cross Abstract: Multimodal Machine Translation aims to incorporate additional signal from non-textual modalities to improve translations by resolving ambiguities. While models, through m…
- arXiv cs.AIresearchBAT-CLIP: Trimodal Alignment of Brain, Audio and Text
arXiv:2609.31180v1 Announce Type: cross Abstract: Decoding and interpreting naturalistic speech from the brain increasingly relies on alignment to pretrained speech and language representation spaces. However, current CL…
- arXiv cs.AIresearchRethinking Data Quality for AI-Driven Systems: Evidence from Practitioner Interviews
arXiv:2609.31191v1 Announce Type: cross Abstract: Data quality research has usually treated data as an input that is stored, processed, and validated. In AI-driven software-intensive systems, data also shapes model behav…
- arXiv cs.AIresearchAcoustic-to-Text KV Compression for Full-Duplex Speech Models
arXiv:2609.31224v1 Announce Type: cross Abstract: Full-duplex speech language models continuously accumulate acoustic key-value (KV) states, making long-running interactions memory-intensive. During listening, the model…
- arXiv cs.AIresearchGeometric Inconsistency Localization in Multi-View Image Sets
arXiv:2609.31247v1 Announce Type: cross Abstract: Novel view synthesis (NVS) models can produce realistic new views of the same scene from different viewpoints. However, these generated views are not always geometrically…
- arXiv cs.AIagentsAgentic Limit Order Books: Phase Transitions and Market Impact
arXiv:2609.31260v1 Announce Type: cross Abstract: We investigate the systemic macroscopic dynamics emerging from Limit Order Books (LOBs) populated exclusively by autonomous reinforcement-learning agentic traders. By for…
- arXiv cs.AIresearchMoSAR: Mixture of Semantic Attention Regimes for Learning Adaptive and Approximable Attention Geometries
arXiv:2609.31261v1 Announce Type: cross Abstract: The quadratic complexity of dense self-attention remains a central bottleneck for long-context language modeling. Many efficient alternatives address this cost by decidin…
- arXiv cs.AIagentsCognitive Skills in the Age of AI: Computing Students and Experts Perceptions
arXiv:2609.31272v2 Announce Type: replace-cross Abstract: AI is becoming increasingly integrated into daily workflows, especially in computing. We are gradually shifting towards an AI-rich future, an impending yet unknow…
- arXiv cs.AIagentsResource-Optimized and Energy-Aware Agentic AI Framework Anchored on Blockchain for Secure Software Supply Chains
arXiv:2609.31282v1 Announce Type: cross Abstract: This paper proposes a blockchain-backed agentic security framework designed to safeguard the complete software development lifecycle (SDLC) while also securing the agenti…
- arXiv cs.AIresearchSoftmax Reparameterization for Output-Head Quantization
arXiv:2609.31291v2 Announce Type: replace-cross Abstract: Large vocabularies make output heads a substantial inference cost in small language models. We introduce softmax reparameterization, a post-training method that s…
- arXiv cs.AIresearchUniAR: A Unified Framework for Autism Recognition Enhanced by Multi-View Prompt Learning
arXiv:2609.31298v2 Announce Type: replace-cross Abstract: Autism Spectrum Disorder (ASD) is a complex neurodevelopmental disorder for which early and accurate diagnosis is critical to improving long-term developmental ou…
- arXiv cs.AIagentsBeyond Approved Actions: Runtime Validation of Persistent Outcomes in Agent Workflows
arXiv:2609.31301v1 Announce Type: cross Abstract: Large language model agents increasingly act on software systems, no longer merely generating text but also changing databases and online services. However, an approved d…
- arXiv cs.AIresearchTowards VLA-Dreamer: Refining VLA Behavior Using World Models
arXiv:2609.31313v1 Announce Type: cross Abstract: Vision-Language-Action models (VLAs), while showing strong potential for robot control, require massive amounts of high-quality imitation learning data. Moreover, the abs…
- arXiv cs.AIagentsAgentXploit: Autonomous Repository-to-Runtime Red-Teaming for AI Agents
arXiv:2609.31318v1 Announce Type: cross Abstract: AI agents combine language models with external data and tools that can modify files, call APIs, or execute code. Security failures can arise when adversarial content cha…
- arXiv cs.AIagentsCG-HAF: An Interpretable Global-Local Lesion-Burden Fusion Framework for Ordinal Acne Severity Grading in Agentic Skincare Support
arXiv:2609.31326v1 Announce Type: cross Abstract: Ordinal acne severity grading requires distinguishing visually similar neighboring grades while jointly weighing holistic facial appearance and localized lesion burden -…
- arXiv cs.AIresearchDyMD: Preserving Interaction Dynamics through Distribution Matching Distillation in Few-Step Video World Models
arXiv:2609.31349v1 Announce Type: cross Abstract: Large video diffusion models offer expressive priors for embodied prediction and learning, yet their many-step sampling remains costly for interactive downstream use. Dis…
- arXiv cs.AIagentsA Safety-Bounded SDC-to-MCP Gateway for Medical AI Agents
arXiv:2609.31358v1 Announce Type: cross Abstract: The Model Context Protocol (MCP) provides a common interface through which AI applications discover and use external resources and tools. It allows language-model agents…
- arXiv cs.AIresearchHighlight-Then-Summarize: Learning to Compress Evidence for Long-Context Understanding
arXiv:2609.31382v1 Announce Type: cross Abstract: Long-context understanding requires large language models (LLMs) to reason over lengthy documents, conversations, and code, yet task-relevant evidence is often sparse and…
- arXiv cs.AIresearchGuiding End-to-End Driving Models with Endpoint-Constrained Trajectory Optimization
arXiv:2609.31383v1 Announce Type: cross Abstract: End-to-end driving policies are commonly trained through open-loop behavior cloning, yet they must ultimately operate in closed-loop when deployed on a vehicle, creating…
- arXiv cs.AIagentsActKV: Efficient LLM Agents through Action-Guided KV Cache Management
arXiv:2609.31395v1 Announce Type: cross Abstract: Agentic LLM inference accumulates long KV caches across iterative observation-reasoning-action loops, imposing substantial memory overhead and limiting serving throughput…
- arXiv cs.AIresearchIntent2Tc: Automated Intent-to-Traffic Control Translation with Language Models
arXiv:2609.31397v1 Announce Type: cross Abstract: Automated and highly usable Quality-of-Service (QoS) enforcement requires translating high-level service intents into deployable traffic-management policies. Although int…
- arXiv cs.AIresearchSorry Robot, Happy Human: Vision-Language Models Read Only One of Two Legible Typographic Layers
arXiv:2609.31403v1 Announce Type: cross Abstract: Vision-language models (VLMs), despite their success in optical character recognition (OCR) tasks, are vulnerable to typographic attacks and have a fragile structure for…
- arXiv cs.AIagentsTowards Mitigating Fabricated Consensus: The Active Provenance Gate for Multi-Agent Debate Synthesis
arXiv:2609.31422v1 Announce Type: cross Abstract: Large language model-based multi-agent debate (MAD) systems are being increasingly used as complex decision pipelines in distributed processes. However, their final synth…
- arXiv cs.AIresearchImplicit Neural Representation for Hyperspectral Video Compression
arXiv:2609.31435v1 Announce Type: cross Abstract: With the advent of snapshot cameras, hyperspectral video is becoming more readily available. In recent years, new applications have emerged which have led to increasingly…
- arXiv cs.AIresearchViSTA: A Simple Bridge Extends Visual Alignment to Clinical Time-Series Understanding in Multimodal LLMs
arXiv:2609.31448v1 Announce Type: cross Abstract: Clinical prediction models estimate risk from patient measurements, while large language models support medical text understanding and question answering. Yet their langu…
- arXiv cs.AIresearchFrom Reward Signal to Visual Utility: A Controlled Audit of Medical VLM Post-Training
arXiv:2609.31450v1 Announce Type: cross Abstract: Medical vision-language model (VLM) post-training is commonly evaluated through answer accuracy. We examine how changes in accuracy and training objectives relate to imag…
- arXiv cs.AIresearchDifferent Corruptions, Different Signals: Uncertainty and Loss in Federated Data Quality
arXiv:2609.31454v1 Announce Type: cross Abstract: Federated learning (FL) data corruption can affect either inputs or labels, but it remains unclear whether input-conditional uncertainty and prediction-label loss expose…
- arXiv cs.AIresearchUncertainty-Aware Federated Learning for Infant Movement Analysis
arXiv:2609.31463v1 Announce Type: cross Abstract: Infant movement analysis provides valuable biomarkers for the early identification of neurodevelopmental disorders. Recent advances in deep learning have enabled automate…
- arXiv cs.AIagentsPriceBench: A Diagnostic Benchmark for Price, Quality, and Brand Preferences in LLM Booking Agents
arXiv:2609.31468v1 Announce Type: cross Abstract: LLMs increasingly act as purchasing agents, which makes the LLM, not the user, the one choosing among the options that satisfy a request; its preferences quietly fix what…
- arXiv cs.AIresearchEvaluating Cultural Awareness of LLMs for Haitian Creole
arXiv:2609.31506v1 Announce Type: cross Abstract: Large language models (LLMs) exhibit substantial performance disparities between high- and low-resource languages. Beyond lower task performance, they often fail to captu…
- arXiv cs.AIresearchClearGS: Reliability-Aware Gaussian Splatting from Handheld Videos
arXiv:2609.31509v1 Announce Type: cross Abstract: We present ClearGS for 3D Gaussian Splatting (3DGS) from handheld videos with uneven viewpoint coverage and mixed frame quality. Rather than selecting frames with binary…
- arXiv cs.AIresearchCan You Check That? The Checkability Boundary for Local LLM Network Automation
arXiv:2609.31540v1 Announce Type: cross Abstract: Sending every network-automation input to a third-party frontier LLM exports sensitive artifacts such as production configurations, topologies, and logs. Querying small l…
- arXiv cs.AIresearchAdapting for AI: How elementary teachers adjust their practices for an AI-integrated curriculum
arXiv:2609.31569v1 Announce Type: cross Abstract: Conversational AI tools are entering children's everyday experiences, and schools are interested in adopting them. However, successful classroom integration depends not o…
- arXiv cs.AIresearchOC-GS: Gaussian Splatting for Irregular Turntable Capture
arXiv:2609.31572v1 Announce Type: cross Abstract: Uneven rotation and dropped frames make equal-angle assumptions unreliable for turntable reconstruction. We present OC-GS, an object-centric Gaussian splatting that refin…
- arXiv cs.AIagentsCompact Documentation for Coding Agents: A Benchmark, an Optimizer, and Why It Does Not Transfer
arXiv:2609.31587v1 Announce Type: cross Abstract: We investigate whether natural-language documentation helps coding agents resolve software issues, and we build the tools to construct and evaluate it. We introduce a rou…
- arXiv cs.AIresearchStatistical attribute alignment for black-box generative AI via output post-processing
arXiv:2609.31607v1 Announce Type: cross Abstract: Generative AI systems are increasingly used, but aligning their outputs with user requirements poses a continuing challenge. Here, we aim to ensure that the distribution…
- arXiv cs.AIagentsPreference-based opponent shaping in differentiable games
arXiv:2412.03072v2 Announce Type: replace Abstract: Strategy learning in game environments with multi-agent is a challenging problem. Since each agent's reward is determined by the joint strategy, a greedy learning strat…
- arXiv cs.AIagentsSkillFlow: Scalable and Efficient Agent Skill Retrieval System
arXiv:2504.06188v3 Announce Type: replace Abstract: AI agents can extend their capabilities at inference time by loading reusable skills into context, yet equipping an agent with too many skills, particularly irrelevant…
- arXiv cs.AIresearchEvaluation is All You Need: Strategic Overclaiming of LLM Reasoning Capabilities Through Evaluation Design
arXiv:2506.04734v3 Announce Type: replace Abstract: Reasoning models represented by the Deepseek-R1-Distill series have been widely adopted by the open-source community due to their strong performance in mathematics, sci…
- arXiv cs.AIagentsThe Plot Twist: Jailbreaking Unified Multimodal Models with a Three-Act NarrativeAttack
arXiv:2509.26473v2 Announce Type: replace Abstract: Unified Multimodal Understanding and Generation Models (UMMs) increasingly combine visual understanding and image generation within a single interactive workflow, makin…
- arXiv cs.AIresearchFlow Reconstruction from Sparse Measurements in Urban Drainage Networks: An Application and Evaluation of Data-Driven Sparse Sensing
arXiv:2511.04556v3 Announce Type: replace Abstract: Urbanization and increasingly frequent intense storms are placing stress on urban drainage networks. While dense monitoring of urban drainage networks is desirable, pra…
- arXiv cs.AIresearchTesting the Utility of Using Large Language Models to Create Personalized Networks From Therapy Session Transcripts: A Proof of Concept Study
arXiv:2512.05836v2 Announce Type: replace Abstract: Recent advances in psychotherapy have focused on treatment personalization, such as by selecting treatment modules based on individual networks. However, estimating per…
- arXiv cs.AIresearchStepwise Intrinsic Rewards for Reasoning in Large Language Models
arXiv:2602.01034v2 Announce Type: replace Abstract: Reinforcement learning (RL) has become a widely used paradigm for improving the reasoning abilities of large language models (LLMs) and Vision-language models (VLMs). S…
- arXiv cs.AIagentsFlyAOC: Evaluating Agentic Ontology Curation of Drosophila Scientific Knowledge Bases
arXiv:2602.09163v2 Announce Type: replace Abstract: Scientific knowledge bases accelerate discovery by curating findings from primary literature into structured, queryable formats for both human researchers and emerging…
- arXiv cs.AIresearchLatent Generative Solvers for Generalizable Long-Term Physics Simulation
arXiv:2602.11229v3 Announce Type: replace Abstract: Reliable physics simulation demands two capabilities that today's neural PDE solvers do not deliver together: generalization across heterogeneous PDE families, and stab…
- arXiv cs.AIagentsGT-HarmBench: Benchmarking AI Safety Risks Through the Lens of Game Theory
arXiv:2602.12316v3 Announce Type: replace Abstract: Frontier AI systems are increasingly capable and deployed in high-stakes multi-agent environments. However, existing AI safety benchmarks largely evaluate single agents…
- arXiv cs.AIresearchWhen to Think Fast and Slow? AMOR: Adaptive Entropy Gate for Hybrid Models
arXiv:2602.13215v3 Announce Type: replace Abstract: Recurrent-attention hybrids aim to combine the efficiency of recurrence with the contextual recall of attention, but existing approaches typically apply attention unifo…