AI news archive.
19,854 articles, newest first, from the outlets listed on the sources page.
- arXiv cs.AIresearchNumericJev: Jev-like LLM Numerical Decoding with Multiway Decision Trees
arXiv:2609.28587v1 Announce Type: cross Abstract: Large language models can interpret natural lan- guage, yet robust decisions remain challenging. Jev-like models expose structured choices, but these interfaces do not di…
- arXiv cs.AIresearchLearning to Discover Interesting Mathematics
arXiv:2609.28603v1 Announce Type: cross Abstract: Recently, Large Language Models (LLMs) have been increasingly able to solve advanced mathematical problems, including many that have been open for decades. This opens the…
- arXiv cs.AIresearchUO-FIE: Combining Exact-Label Supervision with Graded Utility for Factivity Inference
arXiv:2609.28605v1 Announce Type: cross Abstract: The Factivity Inference Evaluation 2026 (FIE2026) classifies Chinese context-hypothesis pairs into nine ordered factivity intervals. Its evaluation metric rewards both ex…
- arXiv cs.AIagentsDecision Hijacking: Prompt Injection Attacks on Jev's Typed Probabilistic Decisions
arXiv:2609.28613v1 Announce Type: cross Abstract: Most studies of prompt injection focus on generative agents, leaving their effects on models with schema-defined outputs unclear. We examine these effects in Jev, a non-g…
- arXiv cs.AIresearchThe Fellowship of the Query: Learning Retrieval Actions
arXiv:2609.28653v1 Announce Type: cross Abstract: Retrieval-augmented question answering requires control decisions about when to decompose a question, search, reformulate, extract evidence, synthesize facts, verify prog…
- arXiv cs.AIresearchBeyond Static Graph World Models: Learning Stochastic Latent Dynamics over Evolving Topologies
arXiv:2609.28670v1 Announce Type: cross Abstract: Graph-based world models have recently emerged as a means of learning transitions over relational state representations. However, existing approaches are largely limited…
- arXiv cs.AIresearchAn Explainable DistilBERT-BiLSTM-Attention Framework for Binary and Multi-Class Hate Speech Detection
arXiv:2609.28703v1 Announce Type: cross Abstract: Hate speech on social media poses serious risks to social harmony, mental well-being, and public safety, making its timely and accurate detection essential for content mo…
- arXiv cs.AIresearchTemporal Learning for End-Effector Position Estimation under Aerodynamic Disturbances in Aerial Continuum Manipulation
arXiv:2609.28716v1 Announce Type: cross Abstract: This paper investigates temporal neural networks for \mbox{end-effector} position \mbox{estimation} of an aerial continuum manipulator (ACM) operating under aerodynamic e…
- arXiv cs.AIagentsPolicy Complexity, Reaction Time, and Bounded Rationality in Reinforcement Learning
arXiv:2609.28737v1 Announce Type: cross Abstract: Biological agents do not learn under conditions of unlimited computation. For humans, learning and choice are shaped by constraints on perception, attention, and working…
- arXiv cs.AIresearchTechnical Manual for Toolkit for Confidence-Corpus Consistency, Corpus Absorption and Rule Learning via Fine-Tuning on a Fabricated Corpus
arXiv:2609.28747v2 Announce Type: replace-cross Abstract: This manual documents version 2.0.0 of an open toolkit for fine-tuning small causal language models on fabricated and rule-governed arithmetic corpora and measuri…
- arXiv cs.AIresearchKathDB-FAO: Synthesized Query Plans in a Multimodal DBMS
arXiv:2609.28761v1 Announce Type: cross Abstract: We design, implement, and evaluate KathDB-FAO, a new query evaluation subsystem for our KathDB multimodal DBMS. KathDB-FAO takes as input a query in natural language (NL)…
- arXiv cs.AIresearchDrGait: Biomechanically Grounded Visual Reasoning for Interpretable Clinical Gait Analysis
arXiv:2609.28796v1 Announce Type: cross Abstract: Current automated gait analysis for clinical applications relies on uninterpretable black-box classifiers. Although Vision-Language Models (VLMs) offer strong reasoning c…
- arXiv cs.AIresearchA Harness for Synthesizing Diverse Naturalistic Full-Duplex Conversations
arXiv:2609.28806v1 Announce Type: cross Abstract: Full-duplex dialogue systems, which listen while speaking, must distinguish a completed turn from a pause within a turn and an interruption that requests a turn from a br…
- arXiv cs.AIresearchKeyGen: Unsupervised Keypoint based Object-Centric Representations for Category-Level Policy Generalization
arXiv:2609.28818v1 Announce Type: cross Abstract: Generalization in robotic manipulation requires policies to perform tasks across diverse unseen object instances that vary in shape, size, and pose. However, conventional…
- arXiv cs.AIresearchM$^2$PFN: End-to-End Disentangled Alignment for Generalizable Multimodal In-Context Learning in Alzheimer's Disease
arXiv:2609.28836v1 Announce Type: cross Abstract: While various multimodal methods combining imaging and tabular data for Alzheimer's disease (AD) diagnosis were proposed, they are often limited in generalization across…
- arXiv cs.AIagentsBlockchain-Enabled Artificial Intelligence and AI Agents for Secure Data Sharing and Cybersecurity Applications
arXiv:2609.28843v1 Announce Type: cross Abstract: Blockchain and artificial intelligence (AI) are converging into a single infrastructural layer for securing data sharing, model integrity, and autonomous decision-making…
- arXiv cs.AIagentsPersuaded, Not Informed: Incentive-Misaligned Witnesses Defeat In-Context Grounding
arXiv:2609.28854v1 Announce Type: cross Abstract: Language-model agents increasingly answer questions over customer-relationship management (CRM) records, such as whether to qualify a sales lead. We identify a failure mo…
- arXiv cs.AIresearchBroadening Uncertainty Estimation for Audio Question Answering Across Methods, Formats, and Inputs
arXiv:2609.28879v1 Announce Type: cross Abstract: Audio-language models can produce confident answers unsupported by the audio, motivating uncertainty estimates that identify unreliable responses. We compare probability-…
- arXiv cs.AIresearchRobots That Take Initiative: A Framework for Building and Evaluating Proactive Robots
arXiv:2609.28910v1 Announce Type: cross Abstract: Effective robot assistance beyond narrow roles and repetitive tasks requires robots to be proactive - to decide what needs to be done rather than waiting to be told. Whil…
- arXiv cs.AIagentsOn the Effectiveness of Kernel-Level Evidence for Agent Security
arXiv:2609.28915v1 Announce Type: cross Abstract: LLM agents are deployed into infrastructure that grants them broad host authority, yet existing agent-security benchmarks and defenses operate almost exclusively at the a…
- arXiv cs.AIagentsCalibrated Decision Models for Autonomous Penetration-Testing Harnesses: JEV and Laya as System One Decision Layers for LLM-Driven Pentest Agents
arXiv:2609.28940v1 Announce Type: cross Abstract: Autonomous penetration-testing harnesses use large language models (LLMs) for reconnaissance, exploitation, and reporting, but often rely on those same models to confirm…
- arXiv cs.AIresearchCross-Country Code-Mixing for Generative Recommendation
arXiv:2609.28972v1 Announce Type: cross Abstract: Cross-country recommendation on modern e-commerce platforms is typically deployed with disjoint user and item ID spaces across markets, removing the shared anchors that c…
- arXiv cs.AIresearchCrossSafe: Towards Cross-Embodiment Latent Safety Filters
arXiv:2609.28984v2 Announce Type: replace-cross Abstract: Cross-embodiment learning has shown that a single model, such as a vision-language-action (VLA) model, can learn state representations and manipulation skills tha…
- arXiv cs.AIagentsBeneath the Scores: Rethinking Hallucination Evaluation for Video Understanding Models
arXiv:2609.28991v1 Announce Type: cross Abstract: Video understanding is increasingly performed by multi-stage LLM agents that separate temporal grounding, visual observation, and reasoning. Yet these stages are typicall…
- arXiv cs.AIresearchDesign and Evaluation of LLM Chaining-Based Task Planning for General Purpose Service Robots
arXiv:2609.29043v1 Announce Type: cross Abstract: General Purpose Service Robot (GPSR) tasks, as defined in the RoboCup@Home benchmark, require robots to interpret diverse natural language commands and generate multi-ste…
- arXiv cs.AIagentsMulti-Agent Orchestration of 3GPP Channel Estimators
arXiv:2609.29044v1 Announce Type: cross Abstract: Pilot-aided channel estimation is a decisive block in orthogonal frequency-division multiplexing (OFDM) receivers for both 5G New Radio (5G-NR) and Long-Term Evolution (L…
- arXiv cs.AIresearchThe Tokens Remember: When Tokenization Bypasses Knowledge Editing and Unlearning
arXiv:2609.29045v1 Announce Type: cross Abstract: Open-weight LLMs give downstream users control over the inference stack, but this flexibility can undermine post-release guarantees that sensitive knowledge has been modi…
- arXiv cs.AIresearchEmpath: Tracing Multi-Level Emotion Dynamics in Crisis Counseling Dialogues
arXiv:2609.29056v1 Announce Type: cross Abstract: Emotion dynamics are critical for understanding crisis-support conversations, yet most computational work treats emotion as static utterance-level labels. We introduce EM…
- arXiv cs.AIresearchEIB-Net: Entropy-Guided Information Bottleneck for Generalizable AI-Generated Image Detection
arXiv:2609.29064v1 Announce Type: cross Abstract: The proliferation of photorealistic AI-generated images demands robust detection methods that generalize across diverse generative models. While existing approaches targe…
- arXiv cs.AIresearchCan Classical Semantic-Extractive Summarization Be Evaluated in Hindi? A Replication Study
arXiv:2609.29090v1 Announce Type: cross Abstract: We replicate the distributional-semantics extractive summarisation method of Mohd, Jan and Shah (2020) and adapt it to Hindi, substituting a Devanagari-appropriate compon…
- arXiv cs.AIresearchDAWN: Noise-Robust Quadruped Parkour via Depth-Denoising World Models
arXiv:2609.29092v1 Announce Type: cross Abstract: Vision-based legged locomotion methods assume clean depth at training time and rely on hand-tuned post-processing filters at deployment. However, filter parameters are ra…
- arXiv cs.AIagentsWhere Does Exactly-Once Live? Model, Harness, and Tool-Contract Effects on Duplicate Side Effects in LLM Agents
arXiv:2609.29095v1 Announce Type: cross Abstract: When a tool-using agent's write times out or returns a server error, the action may already have taken effect. Retrying blindly duplicates it -- a second charge, a second…
- arXiv cs.AIresearchWildHSR: Metric Feed-Forward 4D People-Scene Reconstruction from a 3D Foundation Model
arXiv:2609.29106v1 Announce Type: cross Abstract: 3D foundation models recover video cameras and geometry in one forward pass, but some of the strongest are up to scale. Joint people-scene reconstruction then requires tw…
- arXiv cs.AIresearchLess is More: Encoder-only Audio-Visual Segmentation
arXiv:2609.29121v1 Announce Type: cross Abstract: Audio-Visual Semantic Segmentation (AVSS) aims to identify, segment, and classify sound-emitting objects in video frames. Previous Transformer-based AVSS approaches large…
- arXiv cs.AIresearchTag-Aware Structured Text Translation: Towards a Systematic Understanding
arXiv:2609.29131v1 Announce Type: cross Abstract: Internet texts are replete with format tags that carry structural, semantic, and functional meaning. Current large language model (LLM)-based translation systems struggle…
- arXiv cs.AIresearchNot Every Token Is Worth Distilling: Selective Supervision for Direct-OPD
arXiv:2609.29142v2 Announce Type: replace-cross Abstract: Direct On-Policy Distillation (Direct-OPD) transfers reinforcement-learning-induced policy improvements from a small model to a larger student by using the token-…
- arXiv cs.AIresearchAI-Moderated Interviews for Market Research and Digital Twins Calibration
arXiv:2609.29143v1 Announce Type: cross Abstract: AI-moderated interviews are emerging as a scalable market-research method for generating consumer insights and building consumer "digital twins." Yet it remains unclear w…
- arXiv cs.AIresearchMed-AR: Autoregressive Vision-Language Pretraining for Long-Tailed Chest X-Ray Classification and Uncertainty-Aware Evaluation
arXiv:2609.29156v1 Announce Type: cross Abstract: Long-tailed chest X-ray classification requires visual representations that capture both common abnormalities and subtle, infrequent findings. We propose Med-AR-8B and Me…
- arXiv cs.AIagentsHarnessPAI: An Evolving Harness for Physical AI
arXiv:2609.29166v2 Announce Type: replace-cross Abstract: Physical AI aims to build embodied agents that perceive the world, understand and reason about it, and decide how to act. Yet the field has focused primarily on t…
- arXiv cs.AIresearchSpot, Separate, and Enhance: Fully Generative Approach for Audio Mixing
arXiv:2609.29169v1 Announce Type: cross Abstract: We introduce Spot, Separate, and Enhance (SSE), the first multimodal, user-guided generative model for audio remixing and enhancement. SSE enhances video content by rebal…
- arXiv cs.AIresearchFB-GDM: Fully-Bayesian Guided Diffusion Models for High-Dimensional Linear Inverse Problems via Unsupervised Variational Inference
arXiv:2609.29216v1 Announce Type: cross Abstract: Diffusion models are powerful priors for linear inverse problems, but the reference guidance methods, Diffusion Posterior Sampling (DPS) and Pseudoinverse-Guided Diffusio…
- arXiv cs.AIresearchPost-Training Leaves Behavioral Shadows on Unrelated Decisions
arXiv:2609.29233v1 Announce Type: cross Abstract: We find that language models can transfer capabilities through task-unrelated text. Post-training typically improves language models using task-specific data. Prior work…
- arXiv cs.AIagentsSARFusion: Scene-Aware Routing Fusion for Robust Camera-LiDAR 3D Object Detection
arXiv:2609.29235v1 Announce Type: cross Abstract: Camera-LiDAR fusion has become a prevailing paradigm for 3D object detection in autonomous driving. However, existing fusion detectors often establish strong inter-modali…
- arXiv cs.AIresearchTOLA: Text-aware One-Step Latent Adaptation for Diffusion-based Text Image Super-Resolution
arXiv:2609.29240v1 Announce Type: cross Abstract: Text image super-resolution (TSR) aims to recover visually faithful and readable text under unknown degradations. Existing diffusion-based methods typically rely on multi…
- arXiv cs.AIresearchNo More Free Lunch: Corpus Task Complexity Matters as Corpora Grow
arXiv:2609.29245v1 Announce Type: cross Abstract: Given a large corpus, the questions one might ask can vary -- from "When was the first human heart transplant?" to "What are all the contradictory claims in this literatu…
- arXiv cs.AIresearchDeep learning of longitudinal visual fields predicts glaucoma progression rate and identifies fast progressors
arXiv:2609.29256v1 Announce Type: cross Abstract: Glaucoma is the leading cause of irreversible blindness, and timely identification of fast progressors is essential to prevent disability. Current practice estimates prog…
- arXiv cs.AIresearchTP-CRIV: A Framework for Third-Party Challenge-Response Identity Verification of AI Models
arXiv:2609.29264v1 Announce Type: cross Abstract: Artificial intelligence (AI) models are increasingly deployed through remote services, making model misappropriation a growing concern. Existing approaches, including wat…
- arXiv cs.AIresearchReasoning Instructions Can Break Answer Decoding in Vision--Language Models
arXiv:2609.29278v1 Announce Type: cross Abstract: Chain-of-thought (CoT) instructions can distort multiple-choice VLM evaluation when a scorer appends a reasoning cue but reads answer-label logits before the model genera…
- arXiv cs.AIagentsDocuTeam: Mixed-Initiative Multi-Agent Discussions around Evolving Documents
arXiv:2609.29309v1 Announce Type: cross Abstract: In open-ended problem solving, collaborators often rely on discussion to surface concerns, challenge perspectives, and refine shared work as it evolves. While AI agents a…
- arXiv cs.AIresearchNeuralized Multi-Wavelet Decomposition for Time Series Classification and Forecasting
arXiv:2609.29317v1 Announce Type: cross Abstract: Time series analysis is fundamental in domains such as finance, healthcare, and meteorology. Real-world time series often exhibit multiscale characteristics shaped by div…