AI news archive.
19,864 articles, newest first, from the outlets listed on the sources page.
- arXiv cs.AIresearchBrain Vascular Age Prediction Using Cerebral Blood Flow Velocity and Machine Learning Algorithms
arXiv:2605.16969v3 Announce Type: replace Abstract: Defining vascular age in terms of physiological function has become one focal point of the extensive studies to categorize and track chronological age. Transcranial Dop…
- arXiv cs.AIresearchHyperPersona: A Multi-Level Hypergraph Framework for Text-Based Automatic Personality Prediction
arXiv:2605.17355v2 Announce Type: replace Abstract: As a modern commodity, language has become a vast repository of socially and psychologically significant traits and concepts, reflecting the ways people encode pattern…
- arXiv cs.AIresearchExploration and Experimentation with a Misspecified Simulator
arXiv:2605.21458v2 Announce Type: replace Abstract: Randomized experiments are the standard for measuring causal effects that guide decisions, but are costly. Simulators calibrated to historical data offer a cheaper alte…
- arXiv cs.AIresearchECPO: Evidence-Coupled Policy Optimization for Verifier-Audited Candidate Ranking
arXiv:2605.21993v2 Announce Type: replace Abstract: Ranking systems used for decision support should expose evidence that can be audited independently of the model's ranking scores. We study a closed-roster setting in wh…
- arXiv cs.AIagentsATWL: A Formal Language for Representing, Comparing, and Reusing Visual Analytics Workflows
arXiv:2605.25489v2 Announce Type: replace Abstract: Visual analytics (VA) workflows combine data transformation, feature computation, visual representation, and human interpretation, but they are usually described in pro…
- arXiv cs.AIagentsPrompt Codebooks: Discrete Compositional Optimization for Language Model Instruction Refinement
arXiv:2605.28360v3 Announce Type: replace Abstract: Automatic prompt optimization (APO) has driven significant gains in LLM-based agentic workflows. However, most existing methods treat each task's prompt as a monolithic…
- arXiv cs.AIresearchLearning to Reason About Implicit Multimodal Harm: From Diagnosis to Generalization
arXiv:2605.29951v2 Announce Type: replace Abstract: A benign image paired with a benign caption can become harmful only in combination, making detection fundamentally a cross-modal reasoning problem. Existing multimodal…
- arXiv cs.AIresearchWho Can Change Course? An Integrative Review of AI Sovereignty and Collective Learning Capacity
arXiv:2606.00729v4 Announce Type: replace Abstract: AI sovereignty is commonly associated with control over data, infrastructure and technological dependencies. This integrative review examines how institutions convert t…
- arXiv cs.AIresearchLarge Language Models in Transportation Systems Management and Operations: From Text Reasoning to Multi-modal Decision Support
arXiv:2606.00991v2 Announce Type: replace Abstract: Transportation systems management and operations (TSMO) increasingly depends on timely interpretation of heterogeneous data, from various sensor streams, incident repor…
- arXiv cs.AIagentsBeyond Semantic Organization: Memory as Execution State Management for Long-Horizon Agents
arXiv:2606.06090v2 Announce Type: replace Abstract: LLM-based agents increasingly tackle long-horizon tasks with interdependent decisions, where each action reshapes future constraints and intermediate errors can cascade…
- arXiv cs.AIagentsAPeB: Benchmarking Personalization Ability of Large Language Model Agents
arXiv:2607.03162v3 Announce Type: replace Abstract: LLM-powered agents struggle with personalization when users issue raw, underspecified queries. In this setting, agents must infer latent intent, extract preferences fro…
- arXiv cs.AIagentsAlign AI to Dynamic Human-AI Workflows
arXiv:2607.14240v2 Announce Type: replace Abstract: Current alignment approaches typically focus on emulating human behavior using static representations of human preferences, failing to capture the dynamic, context-depe…
- arXiv cs.AIresearchCross-Dialect Generalization Without Retraining: Benchmarks and Evaluation of Schema-Derived Constrained Decoding for MLIR
arXiv:2607.18254v2 Announce Type: replace Abstract: Multi-Level Intermediate Representation (MLIR) underlies modern ML compiler infrastructure (TensorFlow, JAX/StableHLO, PyTorch Inductor, IREE), yet appears only in trac…
- arXiv cs.AIresearchSTAIF: A Stage-wise Optimization for Complex Instruction Following
arXiv:2607.22649v2 Announce Type: replace Abstract: Following complex instructions with multiple explicit constraints remains a fundamental challenge for large language models (LLMs). Existing alignment methods, such as…
- arXiv cs.AIresearchCDAE: Enhancing Perturbation Robustness in Pretrained Language Models with Contrastive Denoising
arXiv:2607.28236v2 Announce Type: replace Abstract: Pre-trained language models have significantly improved sentence representation learning, yet their embeddings remain sensitive to textual perturbations such as synonym…
- arXiv cs.AIagentsQ-Reflector: Learning GUI Action Reflection with Generated Conditions
arXiv:2608.05587v2 Announce Type: replace Abstract: Mobile GUI agents require accurate action reflection for reliable long-horizon execution, assessing whether each action was successfully executed and whether its outcom…
- arXiv cs.AIresearchPoli-Bias: Understanding and Measuring Large Language Model Biases in International Political Conflicts
arXiv:2608.06123v3 Announce Type: replace Abstract: Measuring political bias in large language models (LLMs) remains challenging as it can manifest through subtle differences in framing, argumentation, and legal reasonin…
- arXiv cs.AIresearchLocating Failure in Multi-Page Visually Rich Document Understanding Systems: An Empirical Attribution
arXiv:2608.07943v2 Announce Type: replace Abstract: Multi-page visually rich document understanding (MP-VRDU) systems can fail when evidence is not faithfully represented, not selected, or not used correctly, yet final a…
- arXiv cs.AIagentsTeach the Magnitude, Not the Direction: Verifier-Anchored Credit Assignment for Multi-Turn Multi-Step LLM Agents
arXiv:2608.13179v2 Announce Type: replace Abstract: Reinforcement learning with verifiable rewards (RLVR) directly optimizes verifier-defined outcomes for multi-turn tool-use agents, yet its trajectory-level credit assig…
- arXiv cs.AIagentsBeyond Uncertainty Reduction: Calibrated Planning for Interactive Diagnosis
arXiv:2608.27847v2 Announce Type: replace Abstract: Interactive medical diagnosis requires an agent to gather patient evidence through sequential questions before committing to a diagnosis. Large language models (LLMs) n…
- arXiv cs.AIresearchHarnessing Trust in Directed Graphs: Redefining Robustness of Graph Learning
arXiv:2306.02002v2 Announce Type: replace-cross Abstract: Existing research on robust Graph Neural Networks (GNNs) focuses predominantly on undirected graphs, overlooking the trustworthiness inherent in the link directio…
- arXiv cs.AIresearchPluvio: Assembly Clone Search for Out-of-domain Architectures and Libraries through Transfer Learning and Conditional Variational Information Bottleneck
arXiv:2307.10631v2 Announce Type: replace-cross Abstract: The practice of code reuse is crucial in software development for a faster and more efficient development lifecycle. In reality, however, code reuse practices lac…
- arXiv cs.AIresearchBeyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems
arXiv:2311.11796v3 Announce Type: replace-cross Abstract: Transferable attacks allow adversarial manipulations or learned attack mechanisms constructed in one setting to compromise other AI systems, potentially reducing…
- arXiv cs.AIresearchVietMed: A Dataset and Benchmark for Automatic Speech Recognition of Vietnamese in the Medical Domain
arXiv:2404.05659v4 Announce Type: replace-cross Abstract: Due to privacy restrictions, there's a shortage of publicly available speech recognition datasets in the medical domain. In this work, we present VietMed - a Viet…
- arXiv cs.AIresearchHarmful YouTube Video Detection: A Taxonomy of Online Harm and MLLMs as Alternative Annotators
arXiv:2411.05854v2 Announce Type: replace-cross Abstract: Video platforms, used by billions globally, are criticized for exposing users to harmful content. Yet, detecting online harm remains challenging due to inconsiste…
- arXiv cs.AIresearchPaint Outside the Box: Synthesizing and Selecting Training Data for Visual Grounding
arXiv:2412.00684v3 Announce Type: replace-cross Abstract: Visual grounding aims to localize the image regions based on a textual query. Given the difficulty of large-scale data curation, we investigate how to effectively…
- arXiv cs.AIresearchRethinking Negative Prompting for Concept Suppression: Unconditional Anchoring and Localized Guidance
arXiv:2412.07658v3 Announce Type: replace-cross Abstract: Text-to-image diffusion models have rapidly transitioned from research prototypes to widely deployed tools. Along with their impressive capabilities, these models…
- arXiv cs.AIresearchWhat is causal about causal models and representations?
arXiv:2501.19335v3 Announce Type: replace-cross Abstract: Causal Bayesian networks are often described as causal because they support reasoning about interventions. Yet interventions are defined in the mathematical model…
- arXiv cs.AIresearchLeanTTA: A Backpropagation-Free and Stateless Approach to Quantized Test-Time Adaptation on Edge Devices
arXiv:2503.15889v2 Announce Type: replace-cross Abstract: While there are many advantages to deploying machine learning models on edge devices, the resource constraints of mobile platforms, the dynamic nature of the envi…
- arXiv cs.AIagentsCollaborating with AI Agents: Field Experiments on Teamwork, Productivity, and Performance
arXiv:2503.18238v4 Announce Type: replace-cross Abstract: We examined the mechanisms underlying productivity and performance gains from AI agents using a large-scale experiment on Pairit, a platform we developed to study…
- arXiv cs.AIresearchA Gradient-Optimized TSK Fuzzy Framework for Explainable Phishing Detection
arXiv:2504.18636v2 Announce Type: replace-cross Abstract: Phishing attacks represent an increasingly sophisticated and pervasive threat to individuals and organizations, causing significant financial losses, identity the…
- arXiv cs.AIresearchTwo Minds Better Than One: Collaborative Reward Modeling for LLM Alignment
arXiv:2505.10597v3 Announce Type: replace-cross Abstract: Reward models (RMs) are central to aligning large language models (LLMs) with human values, yet noisy preference feedback can induce reward misgeneralization thro…
- arXiv cs.AIresearchSafety Alignment via Constrained Knowledge Unlearning
arXiv:2505.18588v2 Announce Type: replace-cross Abstract: Despite significant progress in safety alignment, large language models (LLMs) remain susceptible to jailbreak attacks. Existing defense mechanisms have not fully…
- arXiv cs.AIresearchGPT, But Backwards: Exactly Inverting Language Model Outputs
arXiv:2507.01693v3 Announce Type: replace-cross Abstract: Recent work shows that distinct inputs produce distinct hidden representations in LLMs, so the input can in principle be recovered from them. Yet, no existing met…
- arXiv cs.AIresearchMissing value imputation with adversarial random forests - MissARF
arXiv:2507.15681v2 Announce Type: replace-cross Abstract: Handling missing values is a common challenge in biostatistical analyses, typically addressed by imputation methods. We propose a novel, fast, and easy-to-use imp…
- arXiv cs.AIresearchCross-Layer Attention Probing for Fine-Grained Hallucination Detection
arXiv:2509.09700v2 Announce Type: replace-cross Abstract: With the large-scale adoption of Large Language Models (LLMs) in various applications, there is a growing reliability concern due to their tendency to generate in…
- arXiv cs.AIresearchRep2Text: Decoding Full Text from a Single LLM Token Representation
arXiv:2511.06571v4 Announce Type: replace-cross Abstract: Large language models represent text as hidden numerical patterns, but what information these representations actually contain remains a mystery. Can we recover t…
- arXiv cs.AIagentsOperon: Incremental Construction of Ragged Data via Named Dimensions
arXiv:2511.16080v3 Announce Type: replace-cross Abstract: Modern data processing workflows frequently encounter ragged data: multidimensional collections whose inner lengths vary and are revealed only at runtime. Ragged…
- arXiv cs.AIresearchAQUA-Net: Adaptive Frequency Fusion and Illumination Aware Network for Underwater Image Enhancement
arXiv:2512.05960v2 Announce Type: replace-cross Abstract: Underwater images often suffer from severe color distortion, low contrast, and a hazy appearance due to wavelength-dependent light absorption and scattering. Simu…
- arXiv cs.AIresearchAI-exposed jobs deteriorated before ChatGPT
arXiv:2601.02554v2 Announce Type: replace-cross Abstract: Public debate links worsening job prospects for AI-exposed occupations to the release of ChatGPT in late 2022. Using monthly U.S. unemployment insurance records,…
- arXiv cs.AIresearchPro-AI Bias in Large Language Models
arXiv:2601.13749v2 Announce Type: replace-cross Abstract: Large language models (LLMs) are increasingly employed for decision-support across multiple domains. We ask whether these models favor artificial intelligence (AI…
- arXiv cs.AIagentsVeri-Sure: Multi-Agent RTL Code Generation with Temporal Tracing, Slicing and Formal Verification
arXiv:2601.19747v2 Announce Type: replace-cross Abstract: In the rapidly evolving field of Electronic Design Automation (EDA), the deployment of Large Language Models (LLMs) for Register-Transfer Level (RTL) code generat…
- arXiv cs.AIresearchHappy Young Women, Grumpy Old Men? Emotion-Driven Demographic Biases in Synthetic Face Generation
arXiv:2602.00032v4 Announce Type: replace-cross Abstract: Synthetic faces from text-to-image (T2I) models pervade digital media, yet their demographic biases under emotionally conditioned prompts remain poorly understood…
- arXiv cs.AIresearchInter- and Intra-Subject Variability in EEG: A Systematic Survey
arXiv:2602.01019v2 Announce Type: replace-cross Abstract: Electroencephalography (EEG) underpins neuroscience, clinical neurophysiology, and brain-computer interfaces (BCIs), yet pronounced inter- and intra-subject varia…
- arXiv cs.AIagentsA Theoretical Analysis of Test-Driven Code Generation
arXiv:2602.06098v4 Announce Type: replace-cross Abstract: Code assistants are increasingly utilized in test-driven software development, yet the theoretical mechanisms behind their environment-interaction strategies rema…
- arXiv cs.AIresearchScalable Adaptation of 3D Geometric Foundation Models via Weak Supervision from Internet Video
arXiv:2602.07891v2 Announce Type: replace-cross Abstract: Geometric foundation models show promise in 3D reconstruction. However, their progress is severely constrained by the scarcity of diverse, large-scale 3D annotati…
- arXiv cs.AIresearchOMEGA-Avatar: One-shot Modeling of 360{\deg} Gaussian Avatars
arXiv:2602.11693v2 Announce Type: replace-cross Abstract: Creating high-fidelity, animatable 3D avatars from a single image remains a formidable challenge. We identified three desirable attributes of avatar generation: 1…
- arXiv cs.AIresearchHydroShear: Hydroelastic Shear Simulation for Tactile Sim-to-Real Reinforcement Learning
arXiv:2603.00446v2 Announce Type: replace-cross Abstract: In this paper, we address the problem of tactile sim-to-real policy transfer for contact-rich tasks. Existing methods primarily focus on vision-based sensors and…
- arXiv cs.AIagentsLanguage Model Goal Selection Differs from Humans' in a Self-Directed Learning Task
arXiv:2603.03295v3 Announce Type: replace-cross Abstract: Whether in agentic workflows, social studies, or chat settings, large language models (LLMs) are increasingly being asked to replace humans in choosing which goal…
- arXiv cs.AIagentsAOI: Turning Failed Trajectories into Training Signals for Autonomous Cloud Diagnosis
arXiv:2603.03378v4 Announce Type: replace-cross Abstract: Large language model (LLM) agents offer a promising data-driven approach to automating Site Reliability Engineering (SRE), yet their enterprise deployment is cons…