AI news archive.
19,861 articles, newest first, from the outlets listed on the sources page.
- 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…
- arXiv cs.AIresearchHyperbolic Multimodal Continual Learning: A Closest-Admissible Solution
arXiv:2609.29329v1 Announce Type: cross Abstract: Existing continual-learning methods protect parameters, replayed examples, or Euclidean feature subspaces. When applied to hyperbolic multimodal models, they do not expli…
- arXiv cs.AIresearchWhere LLM Graders Succeed and Break: Evidence from Two Computer-Science Exams
arXiv:2609.29333v1 Announce Type: cross Abstract: One long-form exam in a large course costs hundreds of grader-hours, and qualified graders are scarce; LLM graders are a tempting alternative. To show its pitfalls we gra…
- arXiv cs.AIresearchArGuard Shared Task: Harmful Content Detection in Arabic Memes and LLM Prompts
arXiv:2609.29349v2 Announce Type: replace-cross Abstract: ArGuard is a shared task on harmful content detection in Arabic memes and LLM prompts. It includes two tracks: Track A focuses on multimodal hate detection in Ara…
- arXiv cs.AIresearchDomain Recentering and Confidence-Weighted Prior Calibration for Vision-Language Models
arXiv:2609.29358v1 Announce Type: cross Abstract: Vision-language models such as CLIP achieve strong zero-shot classification, yet under distribution shift, visual embeddings drift from fixed text embeddings. Training-fr…
- arXiv cs.AIresearchFrom Policy Documents to Structured Survey Responses: Evaluating Large Language Models for Policy Monitoring
arXiv:2609.29370v1 Announce Type: cross Abstract: Science, technology, and innovation policies are crucial for competitiveness, yet their diversity and scale make them difficult to map and monitor consistently. Existing…
- arXiv cs.AIresearchWST-Graph: Topology-Preserving Wavelet Scattering Front-End for Speech Deepfake Detection
arXiv:2609.29372v1 Announce Type: cross Abstract: The acoustic front-end determines which forensic cues a speech deepfake detector can exploit. The wavelet scattering transform (WST) provides stable multiscale coefficien…
- arXiv cs.AIresearchSegment-Level Risk Discovery in Online Handwriting for Alzheimer's Disease Detection
arXiv:2609.29384v2 Announce Type: replace-cross Abstract: Online handwriting provides a non-invasive and low-cost behavioral biomarker for Alzheimer's disease (AD) detection, as it reflects both cognitive planning and fi…
- arXiv cs.AIresearchRufus-Air: An Open LLM Post-Training Recipe
arXiv:2609.29421v2 Announce Type: replace-cross Abstract: Rufus-Air is an open and reproducible post-training recipe on GLM-4.5-Air-Base (106B-A12B), organized as a serial pipeline of eight stages: SFT, Reasoning RL, Cod…
- arXiv cs.AIagentsagentic-ger: terminology recovery in long-form speech using global context
arXiv:2609.29428v1 Announce Type: cross Abstract: Recent advances in speech language models have improved automatic speech recognition (ASR) for long-form audio. However, accurately and consistently transcribing domain-s…
- arXiv cs.AIresearchDetecting Glaucoma Across Multi-ethnic Myopic and Non-Myopic Populations Using an Uncertainty-Aware Vision Transformer: A Multicentre Model Development and Validation Study
arXiv:2609.29433v2 Announce Type: replace-cross Abstract: Background: Artificial intelligence (AI)-based glaucoma detection from colour fundus photographs (CFP) offers scalable screening, but performance may decline on e…
- arXiv cs.AIagentsIterSynth: Rethinking Deep Search Agents via Role-Decoupled Iterative Synthesis
arXiv:2609.29444v1 Announce Type: cross Abstract: Deep search requires LLM agents to decompose complex queries, search for evidence, and synthesize grounded answers, yet existing ReAct-style agents suffer from two limita…
- arXiv cs.AIresearchFrame-to-Panorama Localization and Context-Aware Sampling for Scene-Specific Ship Detection in a Smart Marina Testbed
arXiv:2609.29447v1 Announce Type: cross Abstract: Smart maritime infrastructures provide continuous access to heterogeneous sensing streams, enabling repeated experimentation, digital-twin development, and AI-based marit…
- arXiv cs.AIresearchAgriCountDINO: Parameter-Efficient Exemplar-Guided Counting and Localization in Agriculture
arXiv:2609.29460v1 Announce Type: cross Abstract: Accurate counting and localization of plants and their organs support phenotyping and yield estimation, yet target appearance, scale, and density vary widely across speci…
- arXiv cs.AIresearchDirect Message Approximation (DMA): A Consistency-Based Framework for Tractable Approximate Inference on Factor Graphs
arXiv:2609.29466v1 Announce Type: cross Abstract: Approximate message passing on factor graphs underlies two dominant families of probabilistic inference algorithms: expectation propagation (EP) and variational message p…
- arXiv cs.AIresearchRoboLDA: A Probabilistic Generative Model for Uncovering Embodied Hierarchical Structures in Voxel-based Soft Robots
arXiv:2609.29490v1 Announce Type: cross Abstract: Recent advances in robotics highlight hierarchical configurations of robot morphology, where multiple levels of functional substructures synergize to facilitate intellige…
- arXiv cs.AIresearchGenerative Evolutionary Design of Voxel-Based Soft Robots with Provable Optimality
arXiv:2609.29491v1 Announce Type: cross Abstract: Voxel-based soft robots (VSRs) present a promising avenue for developing artificial organisms with lifelike intelligence. However, the vast design spaces and expensive ev…
- arXiv cs.AIresearchWho Put the I in AI? Provenance and the Admissibility of Machine Self-Report
arXiv:2609.29494v1 Announce Type: cross Abstract: Large language models make statements concerning their own "minds". When asked whether or not they are conscious, they usually say that they are not; if they are prompted…
- arXiv cs.AIresearchPROOF: Profiling Reliability of Object-Level Facts in Large Language Models
arXiv:2609.29504v1 Announce Type: cross Abstract: Aggregate factuality scores hide where a language model succeeds, which relations it confuses, and whether an answer survives innocuous changes to the question or decoder…
- arXiv cs.AIresearchCoSWA-YOLOv12: Scale-Invariant Tiny Object Detection and Segmentation of Malaria Parasites
arXiv:2609.29527v1 Announce Type: cross Abstract: Automated microscopy could widen access to malaria diagnosis in low-resource settings, but the deadliest species, P. falciparum, presents in its early ring stage as an ob…
- arXiv cs.AIresearchGeoRefer-Bench: A Benchmark from Referring Pixels to Verifiable Geospatial Reasoning
arXiv:2609.29541v2 Announce Type: replace-cross Abstract: Referring segmentation in overhead imagery is inherently relational: a query may ask for the buildings north of the road or the pond closest to a residential area…
- arXiv cs.AIresearchGeneralized Graph Variational Autoencoders: Bounded Divergences Control Posterior Collapse
arXiv:2609.29546v1 Announce Type: cross Abstract: The variational graph autoencoder (VGAE) regularizes its posterior toward the prior with the Kullback-Leibler divergence, a choice inherited from the variational autoenco…
- arXiv cs.AIagentsWhen Agents Act Unwatched: The Reduced-Supervision Paradox in Agentic AI
arXiv:2609.29547v1 Announce Type: cross Abstract: Agentic AI is sold on a simple promise: the system keeps acting when the user stops watching. That promise creates an accountability inversion. As stepwise supervision re…
- arXiv cs.AIresearchUNWIND: Any-Length Facial Video for Stress Detection without Temporal Windowing
arXiv:2609.29553v1 Announce Type: cross Abstract: Automatic stress recognition from facial video provides a non-contact approach for affective monitoring. However, most existing video-based methods divide complete record…
- arXiv cs.AIresearchCATCH: Counterfactual Anatomical Tissue Inpainting with Conditional Haar Diffusion
arXiv:2609.29591v1 Announce Type: cross Abstract: BraTS local synthesis replaces masked regions in T1-weighted brain MRI with plausible tumor-free tissue while preserving observed anatomy. We present CATCH, conditional 3…
- arXiv cs.AIresearchQINA: Quantum-Inspired Nonlinear Adapters for Pretrained Vision Models
arXiv:2609.29592v1 Announce Type: cross Abstract: Adapting large pretrained vision models under limited data and frozen-backbone constraints remains a central challenge in transfer learning. While lightweight adapters an…
- arXiv cs.AIresearchEvidence-Driven Differential Diagnosis of Malignant Melanoma
arXiv:2609.29613v1 Announce Type: cross Abstract: We present a modular and multi-level framework for the differential diagnosis of malignant melanoma. Our framework integrates contextual information and evidence at the l…
- arXiv cs.AIresearchAn Exploratory Ablation of a Small MLA--SSM Hybrid Language Model
arXiv:2609.29618v1 Announce Type: cross Abstract: We report an exploratory, single-seed ablation of TALH (Adaptive Latent Hybrid), a decoder-only language model with parallel Multi-head Latent Attention (MLA) and a custo…
- arXiv cs.AIresearchA Manifold-Aware Topic Modeling Approach via Rank-Based Prototypes
arXiv:2609.29630v1 Announce Type: cross Abstract: Recent topic models leverage pretrained embeddings, but neural architectures produce latent representations without grounding in specific texts, and clustering-based pipe…
- arXiv cs.AIresearchTTLab at AlexandriaX-2026: A Fine-Tuned Surface Tagger for Arabic Machine-Translation Error-Span Detection and Classification
arXiv:2609.29633v1 Announce Type: cross Abstract: We present TTLab's submission to the AlexandriaX-2026 Subtask~3 on Arabic MT error span detection and classification. Our system frames the task as token-level classifica…
- arXiv cs.AIresearchOperator Packages, Proposer Strength, and Construction-Family Plateaus in Office-Scale Verified Search
arXiv:2609.29636v2 Announce Type: replace-cross Abstract: Verified search, in which a language model proposes programs, a hard evaluator scores them, and selection keeps the best, has recently moved mathematical records;…
- arXiv cs.AIagentsAgentKernel: The Trust-Native Agentic Operating System
arXiv:2609.29647v1 Announce Type: cross Abstract: Modern AI agents routinely cross trust boundaries: they ingest untrusted content, combine it with privileged instructions, persist intermediate beliefs in long-term memor…
- arXiv cs.AIresearchInvestigating White Blood Cells as a Source of False-Positive Malaria Parasite Detection in African Blood-Smear Images
arXiv:2609.29663v1 Announce Type: cross Abstract: White blood cells (WBCs) present on every Giemsa-stained thick blood smear share visual properties with early-stage Plasmodium falciparum ring-form trophozoites: small si…
- arXiv cs.AIagentsGraph, Loop, and Harness Engineering for Zero-Trust Agentic Data Engineering and Analytical Processing
arXiv:2609.29668v1 Announce Type: cross Abstract: Large language model agents increasingly automate data workflows, but end-to-end cloud data engineering and analytical execution require reliable coordination across code…
- arXiv cs.AIresearchDo World Models Make Better Robots? A Survey of Evaluation Benchmarks for Predictive Embodied Intelligence
arXiv:2609.29669v1 Announce Type: cross Abstract: Robot learning now advances along two tracks that rarely meet. On one side, direct Vision-Language-Action (VLA) policies map observations to actions and are scored by clo…
- arXiv cs.AIresearchThe Sequential Price of Continual Learning
arXiv:2609.29674v2 Announce Type: replace-cross Abstract: Sequential task updates are fundamental to continual learning, but their recency bias can impose a lasting performance cost. We study this cost in an overparamete…
- arXiv cs.AIresearchReCalMatch:Reliability-Calibrated Semantic Guidance for Semi-Supervised Fine-Grained Recognition
arXiv:2609.29678v1 Announce Type: cross Abstract: Semi-supervised fine-grained visual recognition is highly vulnerable to overconfident pseudo-label errors: visually similar categories frequently produce high-confidence…
- arXiv cs.AIagentsUnderstanding and Exploiting Initialization Anchoring Weakness in Feedback-Based Agent Planning
arXiv:2609.29697v1 Announce Type: cross Abstract: Feedback-based planning improves agent reliability by incorporating tool observations and corrective feedback. However, its protection may not be distributed uniformly ac…
- arXiv cs.AIresearchDecoupling Knowledge and Privacy: Post-Task Self-Distillation Replay for LLM Continual Learning
arXiv:2609.29711v1 Announce Type: cross Abstract: Privacy-preserving continual learning (PPCL) must reduce the reproduction of sensitive content while retaining useful knowledge across sequential tasks. Formal privacy gu…
- arXiv cs.AIresearchRevalidation Beats Stateful Routing for Scientific Surrogates Under Distribution Shift
arXiv:2609.29715v1 Announce Type: cross Abstract: Surrogate models are often chosen during development and then left in place as new measurements arrive. That practice becomes risky when noise, input support, or physical…
- arXiv cs.AIagentsPPTBench: Can Coding Agents Reconstruct the Visual World through Structured, Editable Slides
arXiv:2609.29718v2 Announce Type: replace-cross Abstract: Coding agents are increasingly moving beyond text-based software tasks to reconstruct visual targets through code. This capability, visual coding, requires agents…
- arXiv cs.AIresearchTopU-LBVS: A Realistic Multi Target Benchmark for Ligand Based Virtual Screening
arXiv:2609.29740v1 Announce Type: cross Abstract: Ligand-based virtual screening (LBVS) is a practical first-pass tool in early-stage drug discovery, but existing benchmarks can overestimate performance through random ne…
- arXiv cs.AIresearchBetween the Commits: Process, Error, and Claim Reliability in a Wholly AI-Authored Codebase
arXiv:2609.29744v1 Announce Type: cross Abstract: We present: (i) a new dataset consisting of the full development history of a 21,000-line Python tool built entirely by Claude AI, with no human-authored code or tests, (…
- arXiv cs.AIresearchAnatomy-aware cross-speaker adaptation of complete vocal-tract acoustic-to-articulatory inversion
arXiv:2609.29766v1 Announce Type: cross Abstract: Cross-speaker acoustic-to-articulatory inversion requires accounting for anatomical differences between speakers. We propose a geometric adaptation framework that uses an…