AI news archive.
19,861 articles, newest first, from the outlets listed on the sources page.
- arXiv cs.AIagentsRS-Claw-Evolution: Environment-Feedback-Driven Evolution for Lightweight Remote Sensing Agents in Long-Horizon Tasks
arXiv:2609.22258v1 Announce Type: cross Abstract: Large language model-driven remote sensing (RS) agents offer a promising approach to automating geospatial analysis. However, lightweight RS agents based on compact langu…
- arXiv cs.AIagentsWhich Part of the Context Layer Does the Work? Separating Semantic Content from Retrieval Scaffolding in Text-to-SQL Agents
arXiv:2609.22259v1 Announce Type: cross Abstract: Context layers, curated documentation that an analytics agent fetches at query time, produce large accuracy gains on text-to-SQL benchmarks. A with/without comparison can…
- arXiv cs.AIresearchUsed, Mentioned, or Condemned? A Controlled Contrast-Set Diagnostic for the Use-Mention Distinction in Code-Mixed Hinglish Misogyny Detection
arXiv:2609.22261v1 Announce Type: cross Abstract: Lexicon-driven misogyny detectors cannot, by construction, distinguish a slur used against a woman from the same slur mentioned in counter-speech ("don't call her that")…
- arXiv cs.AIresearchLarge language models in medical time series analysis
arXiv:2609.22262v1 Announce Type: cross Abstract: Medical time series (MedTS), including electrocardiograms (ECG), electroencephalograms (EEG), photoplethysmography (PPG), and vital-sign recordings, are central to clinic…
- arXiv cs.AIresearchHi-Singers: A Comprehensive High-Quality Dataset for Expressive Audio-Driven Singing Head Synthesis
arXiv:2609.22264v1 Announce Type: cross Abstract: State-of-the-art models for audio-driven digital human generation have achieved photo-realistic results in talking-head synthesis. However, extending these models to sing…
- arXiv cs.AIresearchEnabling Vision and Cross-Modal Learning for Multimodal Stroke Recurrence Prediction: An Interpretable Two-Step Framework
arXiv:2609.22271v1 Announce Type: cross Abstract: Multimodal stroke recurrence prediction requires effective integration of heterogeneous clinical and imaging data, yet modality imbalance often causes models to over-rely…
- arXiv cs.AIresearchPerformance vs Consistency: Evaluating a Foundation Model in Lung-RADS Screening
arXiv:2609.22281v1 Announce Type: cross Abstract: Foundation models have recently demonstrated strong capabilities across a wide range of medical imaging tasks. However, their performance in structured clinical interpret…
- arXiv cs.AIresearchBrain-to-Image Generation: Reconstructing Visual Stimuli from EEG using Generative Adversarial Networks
arXiv:2609.22282v1 Announce Type: cross Abstract: Reconstructing visual stimuli from electroencephalography (EEG) is difficult because scalp measurements have high temporal but limited spatial resolution, and paired EEG-…
- arXiv cs.AIresearchRethinking Streaming Video Diffusion Model: Context, Execution, and Training
arXiv:2609.22283v1 Announce Type: cross Abstract: Understanding the design space of streaming video diffusion is essential to exploring its potential for generation quality and computational efficiency. We develop a unif…
- arXiv cs.AIresearchComplementary rPPG-Derived and Lip-Region Frequency Cues for Talking-Face Deepfake Detection
arXiv:2609.22284v1 Announce Type: cross Abstract: Talking-face (TF) deepfakes are detected unevenly by rPPG-based methods across generators. We study two lightweight visual-only cues, rPPG-derived waveforms extracted by…
- arXiv cs.AIresearchORDER: A Fictitious-World Benchmark for Domain-Adaptive Embodied AI
arXiv:2609.22285v1 Announce Type: cross Abstract: Adapting language models to new domains via continual pre-training raises a basic evaluation problem: if the training corpus overlaps with what the model already knows, p…
- arXiv cs.AIresearchValidating, Not Sampling: Region-Level Robustness of Vision-Language and Vision-Language-Action Models
arXiv:2609.22293v1 Announce Type: cross Abstract: Vision-language models (VLMs) and vision-language-action models (VLAs) are increasingly deployed in real-world applications. There, a small perturbation to the recorded c…
- arXiv cs.AIresearchOn The Robustness-Resolution Tradeoff In Temporal Quantization Of Event Streams
arXiv:2609.22295v2 Announce Type: replace-cross Abstract: Event pipelines often discretize asynchronous timestamps before learning. This step looks harmless, but its stability depends directly on temporal resolution. We…
- arXiv cs.AIagentsAuthority-Preserving Evaluation of Medical Vision-Language Assistants
arXiv:2609.22302v1 Announce Type: cross Abstract: Medical vision-language models can propose how urgently a skin lesion should be reviewed, but the local service retains authority to accept or replace that proposal under…
- arXiv cs.AIagentsGameReplica: A Benchmark for Black-Box Visual Game Replication by Vision-Language Agents
arXiv:2609.22308v1 Announce Type: cross Abstract: Coding-agent benchmarks usually evaluate implementation after the target behavior has been specified in text, code, or demonstrations. Existing research has extensively e…
- arXiv cs.AIresearchVisual Graph Reasoning via Knowledge Compilation
arXiv:2609.22327v1 Announce Type: cross Abstract: Visual graph reasoning requires answering graph-theoretic questions directly from graph images, where graph topology and state are conveyed visually rather than given in…
- arXiv cs.AIresearchArtificial Neural Networks as Surrogate Models in Black Box Optimization
arXiv:2609.22329v1 Announce Type: cross Abstract: Black-Box Optimization (BBO) is often applied in several engineering fields and can utilize an advancement of numerical measure- ments and simulation technologies. It dea…
- arXiv cs.AIresearchAffordanceWAM: Affordance-Aware Joint World-Action Modeling for Robot Manipulation
arXiv:2609.22332v3 Announce Type: replace-cross Abstract: Generalizable robot manipulation requires predicting how a scene will evolve, identifying where interactions are feasible, and determining how to act. Action-labe…
- arXiv cs.AIresearchDimensionality reduction for AI based hyperspectral image classification based on XAI
arXiv:2609.22333v1 Announce Type: cross Abstract: This research addresses the challenge of limited material recycling in wood recycling processes by leveraging artificial intelligence (AI)-based dimensionality reduction.…
- arXiv cs.AIresearchResist, Update, Reject: Preference Optimization Installs a Prior-Dependent Reliability Switch
arXiv:2609.22359v1 Announce Type: cross Abstract: An aligned model asked to hold its answer against a manipulative source must still update on a reliable one and reject an unreliable one: resistance, reliable-update, and…
- arXiv cs.AIagentsInitial Evaluation of Potential Bias in Coverage of Humans in Wikidata
arXiv:2609.22375v2 Announce Type: replace-cross Abstract: Introduction. Open collaborative knowledge graphs such as Wikidata increasingly ground agentic artificial intelligence, information retrieval, and language modeli…
- arXiv cs.AIresearchForecasting Brain Tracer Distribution from Pre-Contrast MRI: A Comparison of Direct Regression and Flow Matching
arXiv:2609.22377v2 Announce Type: replace-cross Abstract: Intrathecal contrast-enhanced MRI shows how a tracer injected into the cerebrospinal fluid spreads through the brain, but requires repeated scans over 24--48\,h.…
- arXiv cs.AIresearchMarsRecon: Self-Supervised and Multimodal Surface Representations for Mars
arXiv:2609.22379v1 Announce Type: cross Abstract: High-resolution orbital imagery offers a rich record of the Martian surface, but sparse geological labels limit supervised representation learning. We present MarsRecon,…
- arXiv cs.AIresearchContextual Causality with Large Language Models: A Survey
arXiv:2609.22409v1 Announce Type: cross Abstract: Understanding contextual causality is critical for large language models (LLMs), as it enables them to accurately identify causal relations in specific situations and sup…
- arXiv cs.AIresearchToward Personalized Sleep Guidance from Wearable Data Using Language Models
arXiv:2609.22463v2 Announce Type: replace-cross Abstract: Sleep monitoring using wearable data has shown promise for personal health, yet large language model (LLM)-based summarization and question answering remain insuf…
- arXiv cs.AIagentsA Governance-Aware Large Language Model Orchestrated Agentic Digital Twin for Transmission System Operator Control Room Decision Support
arXiv:2609.22476v1 Announce Type: cross Abstract: Transmission system operators face rising complexity from renewable integration, reduced inertia, and tighter security margins. Large language models offer natural-langua…
- arXiv cs.AIresearchFRAMES: Failure Recovery And Monitoring of Embodied Skills for Humanoid Loco-Manipulation
arXiv:2609.22538v1 Announce Type: cross Abstract: Large language model (LLM) planners can decompose natural-language instructions and select reusable robot skills, but choosing the correct skill does not guarantee succes…
- arXiv cs.AIresearchThe Ups and Downs of Backprop Weights
arXiv:2609.22554v2 Announce Type: replace-cross Abstract: Backpropagation (BP) has driven the remarkable success of modern deep learning by enabling large hierarchical networks to learn complex functions end-to-end. Yet…
- arXiv cs.AIresearchDo Student LLMs Inherit OOD Robustness? Invariance-Weighted Distillation for Reliable Knowledge Transfer
arXiv:2609.22566v1 Announce Type: cross Abstract: Knowledge distillation (KD) aims to compress high-performance teacher LLMs into lightweight students. However, distilled students often exhibit substantial performance de…
- arXiv cs.AIagentsZero-Trust Authorization and Discovery for Enterprise MCP
arXiv:2609.22573v1 Announce Type: cross Abstract: LLM agents translate natural-language context, which may include attacker-controlled text, into privileged tool calls, so authorization must remain effective even when an…
- arXiv cs.AIresearchBeyond the Leaderboard: Counterfactual Diagnosis of End-to-End and VLA Driving Policies Under Domain Shift
arXiv:2609.22582v1 Announce Type: cross Abstract: End-to-end and vision-language-action (VLA) driving policies are compared by leaderboard rank, but a rank reports an outcome, not the behaviour behind it, so it predicts…
- arXiv cs.AIresearchSEABED: SouthEast Asian Benchmark for Evaluating Audio Reasoning
arXiv:2609.22586v1 Announce Type: cross Abstract: Modern audio-language models are no longer judged only on what words they can transcribe, but on whether they can reason over what they hear: recovering meaning that live…
- arXiv cs.AIresearchSeeing is not Enough: Vision-Language Models Perceive Evidence but Fail to Act
arXiv:2609.22588v1 Announce Type: cross Abstract: Vision-language models (VLMs) perform strongly on visual question answering benchmarks, yet often make decisions that contradict visual evidence they have already identif…
- arXiv cs.AIagentsFairly Compensated Distributed Information Retrieval and Augmentation for AI Agents
arXiv:2609.22601v1 Announce Type: cross Abstract: The increasing reliance of autonomous AI agents on external and distributed knowledge sources introduces a fundamental challenge for decentralized information marketplace…
- arXiv cs.AIresearchPreserving What Matters: Semantic Scaffolds Beyond Saturation in Summarization Evaluation
arXiv:2609.22603v3 Announce Type: replace-cross Abstract: Summarization ships in countless production systems, making model selection a routine decision that depends on measuring summary quality. Existing metrics struggl…
- arXiv cs.AIresearchFrom Documented Strengths to Force Limits: Material-Informed Robotic Insertion for Construction Assembly
arXiv:2609.22609v1 Announce Type: cross Abstract: Insertion is a fundamental operation in robotic construction assembly, where variations in material properties and assembly conditions make it difficult to select contact…
- arXiv cs.AIresearchHIGenNTO: Scalable Humanoid Interaction Generation via Noise-Space Trajectory Optimization
arXiv:2609.22611v1 Announce Type: cross Abstract: Humanoid robots can acquire complex skills by imitating kinematic humanoid motion references, yet reliable references for contact-rich interactions remain difficult to ob…
- arXiv cs.AIresearchMath2Visual-X: A Modular Framework for Pedagogically Aligned Lower-Primary Math Visuals Generation
arXiv:2609.22647v1 Announce Type: cross Abstract: Visual representations can help lower-primary learners understand Math Word Problems, but generating classroom-usable visuals remains difficult. Existing symbolic systems…
- arXiv cs.AIagentsFrom Capability to Assurance in Autonomous Penetration-Testing Harnesses: A Framework and Reference Implementation
arXiv:2609.22664v1 Announce Type: cross Abstract: Research on large language model agents for penetration testing is evaluated almost entirely by capability: whether the agent captures a flag or reproduces a proof of con…
- arXiv cs.AIagentsDIP-CAD: A Design-Intent-Preserving Agent Harness for Parametric CAD Modeling
arXiv:2609.22688v3 Announce Type: replace-cross Abstract: Parametric CAD modeling requires not only matching the target shape, but also preserving design intent under parameter edits. However, most existing methods focus…
- arXiv cs.AIresearchLLaDA-PRM: A Bidirectional Step-Level Reasoning Evaluator
arXiv:2609.22700v1 Announce Type: cross Abstract: Step-level reasoning evaluators are commonly based on autoregressive language models, whose causal attention restricts each step representation to the problem, previous s…
- arXiv cs.AIresearchAnalyzing Public Discourse on Urbanism: Topic Clustering, Sentiment Analysis and Retrieval-Augmented Generation using YouTube Comments
arXiv:2609.22705v1 Announce Type: cross Abstract: Online discourse about urban issues - walkability, cycling infrastructure, public transit, housing density, and street safety - is voluminous but unstructured, and existi…
- arXiv cs.AIagentsFrom Code to Requirements: Agentic Reverse Engineering of Business Rules at Enterprise Scale
arXiv:2609.22719v1 Announce Type: cross Abstract: Business requirements for enterprise software systems are rarely captured in structured form; the logic resides instead in source code, configuration files, and instituti…
- arXiv cs.AIagentsMATE: Policy-Aware Security Auditing for Mobile Agents via Synthesis-Driven Trajectory Learning
arXiv:2609.22724v1 Announce Type: cross Abstract: Mobile agents powered by foundation models now automate complex, multi-step workflows on real devices, but their trajectories can violate app-specific security policies.…
- arXiv cs.AIresearchBeyond Raw Engagement: A Counterfactual Observability Framework for Recommender Systems at Netflix
arXiv:2609.22747v1 Announce Type: cross Abstract: Understanding the performance of large-scale recommender systems remains an underexplored challenge, especially for content creators and model developers. The raw engagem…
- arXiv cs.AIresearchParameterized Dense-Sparse Fusion for Hybrid Retrieval: Tuning a Rank-Score Mix on BEIR SciFact with Qdrant
arXiv:2609.22770v2 Announce Type: replace-cross Abstract: We study a parameterized hybrid ranker that fuses a dense embedding list and a sparse lexical list. The method has a small, explicit parameter vector: a dense pri…
- arXiv cs.AIresearchParA-LLM: A Unified Approach to Paralinguistic and Acoustic Speech Understanding
arXiv:2609.22771v1 Announce Type: cross Abstract: Recent advances in Audio LLMs have achieved human-level speech recognition, yet existing systems struggle to capture paralinguistic aspects such as speaker traits, expres…
- arXiv cs.AIagentsSelfOp: An Optimization Algorithm for Self-Improving Security Agents
arXiv:2609.22792v1 Announce Type: cross Abstract: LLM agents are increasingly used for security tasks: vulnerability discovery, exploit reproduction, and patch generation. Improving them at the model level demands expert…
- arXiv cs.AIresearchDiagnose, Then Repair: A Two-Stage MQM-Guided Post-Editing Framework for Domain-Specific Machine Translation
arXiv:2609.22793v1 Announce Type: cross Abstract: LLM-based machine translation evaluation can closely match human judgments, but in practice it remains largely diagnostic, with the signals rarely translating into direct…
- arXiv cs.AIresearchAlexandriaX 2026: The First Shared Task on Dialectal Arabic Machine Translation
arXiv:2609.22796v1 Announce Type: cross Abstract: Dialectal Arabic machine translation (MT) remains challenging despite recent progress in Arabic language technologies, particularly because effective translation requires…