AI news archive.
19,861 articles, newest first, from the outlets listed on the sources page.
- arXiv cs.AIagentsJagarin: A Three-Layer Architecture for Hibernating Personal Duty Agents on Mobile
arXiv:2603.05069v3 Announce Type: replace Abstract: Personal AI agents face a deployment paradox on mobile: persistent background execution drains the battery and conflicts with platform background limits, yet purely rea…
- arXiv cs.AIagentsCombee: Scaling Prompt Learning for Self-Improving Language Model Agents
arXiv:2604.04247v2 Announce Type: replace Abstract: Recent advances in prompt learning allow large language model agents to acquire task-relevant knowledge from inference-time context without parameter changes. For examp…
- arXiv cs.AIresearchAttribution Bias in Large Language Models
arXiv:2604.05224v2 Announce Type: replace Abstract: As Large Language Models (LLMs) are increasingly used to support search and information retrieval, it is critical that they accurately attribute content to its original…
- arXiv cs.AIresearchReasonAudio: A Benchmark for Evaluating Reasoning Beyond Matching in Text-Audio Retrieval
arXiv:2605.03361v3 Announce Type: replace Abstract: Existing audio retrieval benchmarks primarily assess semantic matching, lacking comprehensive evaluation of the logical reasoning capabilities required by complex queri…
- arXiv cs.AIresearchThe Scaling Properties of Implicit Deductive Reasoning in Transformers
arXiv:2605.04330v3 Announce Type: replace Abstract: We investigate the scaling properties of implicit deductive reasoning over Horn clauses in depth-bounded Transformers. By discouraging the reliance on statistical short…
- arXiv cs.AIresearchReward-Decomposed Reinforcement Learning for Immersive Video Role-Playing
arXiv:2605.04733v3 Announce Type: replace Abstract: Text-based role-playing models can imitate character styles, but often fail to capture scene atmosphere and evolving tension, which are crucial for immersive applicatio…
- arXiv cs.AIagentsDetecting Time Series Anomalies Like an Expert: A Multi-Agent LLM Framework with Specialized Analyzers
arXiv:2605.05725v2 Announce Type: replace Abstract: Time-series anomaly detection often returns scores or intervals, while analysts need to understand the abnormal behavior and the evidence supporting it. We introduce SA…
- arXiv cs.AIresearchHaM-World: Soft-Hamiltonian World Models with Selective Memory for Planning
arXiv:2605.05951v2 Announce Type: replace Abstract: World models support model-based planning through learned latent dynamics, but imagined rollouts can become unstable as the planning horizon grows or the dynamics distr…
- arXiv cs.AIagentsAgentick: A Unified Benchmark for General Sequential Decision-Making Agents
arXiv:2605.06869v3 Announce Type: replace Abstract: AI agent research spans a wide spectrum: from RL agents that learn from scratch to foundation model agents that leverage pre-trained knowledge, yet no unified benchmark…
- arXiv cs.AIresearchAcuityBench: Evaluating Clinical Acuity Identification and Uncertainty Alignment
arXiv:2605.11398v2 Announce Type: replace Abstract: We introduce AcuityBench, a benchmark for evaluating whether language models identify the appropriate urgency of care from user medical presentations. Existing health b…
- arXiv cs.AIresearchSelective Off-Policy Reference Tuning with Plan Guidance
arXiv:2605.11505v3 Announce Type: replace Abstract: Reinforcement learning with verifiable rewards helps reasoning, but GRPO-style methods stall on hard prompts where all sampled rollouts fail. SORT adds a repair update…
- arXiv cs.AIresearchNice Fold or Hero Call: Learning Budget-Efficient Thinking under Policy-Dependent Solvability
arXiv:2605.11625v2 Announce Type: replace Abstract: Large reasoning models (LRMs) improve problem solving through extended reasoning, but often misallocate test-time compute. Existing efficiency methods reduce cost by co…
- arXiv cs.AIagentsCODESKILL: Learning Self-Evolving Skills for Coding Agents
arXiv:2605.25430v2 Announce Type: replace Abstract: Coding agents produce rich trajectories while solving software-engineering tasks. To enable agent self-evolution, these trajectories can be distilled into reusable proc…
- arXiv cs.AIagentsStatistical Priors for Implicit Preferences: Decoupling Skill Selection as a Local Harness in Personal Agents
arXiv:2606.05828v2 Announce Type: replace Abstract: As Large Language Model (LLM) capabilities advance, locally deployed personal agents relying on API-based remote models and external skills have emerged as a novel para…
- arXiv cs.AIresearchSciR: A Controllable Benchmark for Scientific Reasoning in LLMs
arXiv:2606.13020v3 Announce Type: replace Abstract: Three paradigmatic forms of inference recur across scientific reasoning: deduction, induction, and causal abduction. Reliably evaluating LLMs on these in scientific set…
- arXiv cs.AIresearchDo Neural Networks Preserve Case Structure? Case-Based Decomposition, Interpretation, and Decision Consistency
arXiv:2607.11347v2 Announce Type: replace Abstract: Neural networks increasingly inform consequential decisions, making their reliability increasingly important. Yet their internal mechanisms provide little evidence of w…
- arXiv cs.AIresearchEnergy Efficiency of Locally Deployed LLMs: A Preliminary Quantitative GPU Power Benchmark on Consumer Hardware
arXiv:2608.00008v2 Announce Type: replace Abstract: The local deployment of large language models (LLMs) is gaining traction due to privacy concerns and the desire for on-premise inference. However, the energy costs on c…
- arXiv cs.AIresearchState Propagation Also Satisfies: A Complex-Valued State-Space Model for Deterministic State Tracking
arXiv:2608.03425v3 Announce Type: replace Abstract: Despite the dominance of massive language models, leading paradigms like Transformers and Mamba fundamentally falter at continuous deterministic state tracking, sufferi…
- arXiv cs.AIagentsAgentic AI-driven Immersive Simulation: A Knowledge-Aware Virtual Training Platform for High Dose Rate (HDR) Brachytherapy
arXiv:2608.08163v2 Announce Type: replace Abstract: The convergence of the Metaverse and Large Language Model (LLM)-based AI agent is catalyzing a shift toward autonomous, immersive, and personalized pedagogical framewor…
- arXiv cs.AIagentsGovernance Records as Supervision: Verifier-Selected Self-Training for Structured Workflow Repair
arXiv:2608.18324v2 Announce Type: replace Abstract: Machine-verifiable workflows produce governance records linking a task contract, model attempt, verifier decision, accepted output, and target origin. We test whether v…
- arXiv cs.AIresearchPhysElite: How Far Are LLMs from Solving Olympiad-Level Physics Problems?
arXiv:2608.25097v3 Announce Type: replace Abstract: Understanding how (multimodal) large language models perform on physics problems requires benchmarks that reflect the difficulty and breadth of expert-level physical re…
- arXiv cs.AIagentsCalibrated Enough to Know, Not Calibrated to Act: Fabricated Evidence Makes LLM Agents Commit to the Unknowable
arXiv:2608.27167v2 Announce Type: replace Abstract: An LLM agent shown a professional-looking market panel commits to a directional call on a provably unpredictable question far more often than one asked the bare questio…
- arXiv cs.AIresearchT-LoopFormer: Token-Level Elastic-Depth Looped Transformers with Dynamic Routing
arXiv:2609.15160v3 Announce Type: replace Abstract: Looped Transformers have recently demonstrated strong performance in both reasoning and language tasks by reusing a shared set of parameters across multiple iterations,…
- arXiv cs.AIresearchLEAD: An EEG Foundation Model for Alzheimer's Disease Detection
arXiv:2502.01678v5 Announce Type: replace-cross Abstract: Electroencephalography (EEG) provides a non-invasive, highly accessible, and cost-effective approach for detecting Alzheimer's disease (AD). However, existing met…
- arXiv cs.AIresearchNaijaNLP: A Survey of Nigerian Low-Resource Languages
arXiv:2502.19784v3 Announce Type: replace-cross Abstract: With over 500 languages in Nigeria, three languages - Hausa, Yor\`ub\'a and Igbo spoken by more than 175 million people, account for about 65% of the languages. H…
- arXiv cs.AIresearchMedHal: a Synthetic Dataset for Medical Hallucination Detection
arXiv:2504.08596v4 Announce Type: replace-cross Abstract: Hallucination, the generation of non factual content by AI systems, poses serious risks in medical contexts, where errors can directly affect patient outcomes. We…
- arXiv cs.AIresearchAchieving Tokenizer Flexibility in Language Models through Heuristic Adaptation and Supertoken Learning
arXiv:2505.09738v2 Announce Type: replace-cross Abstract: Pretrained language models (LLMs) are often constrained by their fixed tokenization schemes, leading to inefficiencies and performance limitations, particularly f…
- arXiv cs.AIresearchLapDDPM: Spectral Perturbation Diffusion for Robust Single-Cell Manifold Generation
arXiv:2506.13344v2 Announce Type: replace-cross Abstract: Generating high-fidelity and biologically plausible synthetic single-cell RNA sequencing (scRNA-seq) data is a critical challenge in computational biology, driven…
- arXiv cs.AIresearchPeer Review as Structured Commentary: Immutable Identity, Public Dialogue, and Reproducible Scholarship
arXiv:2506.22497v2 Announce Type: replace-cross Abstract: This paper reconceptualises peer review as structured public commentary. Traditional academic validation is hindered by anonymity, latency, and gatekeeping. We pr…
- arXiv cs.AIresearchNeural Bridge Processes
arXiv:2508.07220v4 Announce Type: replace-cross Abstract: Learning stochastic functions from partially observed context-target pairs requires models that are expressive, uncertainty-aware, and strongly conditioned on inp…
- arXiv cs.AIresearchAUWave: A Data-Driven Model for Reconstructing Significant Wave Heights Using Sparse Observations
arXiv:2509.19384v2 Announce Type: replace-cross Abstract: Reconstructing high-resolution regional significant wave height (SWH) fields from sparse buoy observations is a critical challenge for ocean monitoring. We introd…
- arXiv cs.AIresearchProvable Speech Attributes Conversion via Latent Independence
arXiv:2510.05191v3 Announce Type: replace-cross Abstract: Conditional generation and disentangled representation learning are central to controlled generation across audio, vision, and multimodal domains. However, despit…
- arXiv cs.AIresearchModels Got Talent: Identifying High Performing Wearable Human Activity Recognition Models Without Training
arXiv:2511.06157v3 Announce Type: replace-cross Abstract: Discovering high performing model architectures for wearables-based Human Activity Recognition (HAR) applications is challenging. The astonishing diversity and va…
- arXiv cs.AIresearchStructural Enforcement of Statistical Rigor in AI-Driven Discovery: A Functional Architecture
arXiv:2511.06701v4 Announce Type: replace-cross Abstract: AI-Scientist systems risk manufacturing spurious discoveries through uncontrolled multiple testing. We present a functional architecture that enforces statistical…
- arXiv cs.AIresearchSLMFix: Leveraging Small Language Models for Domain Specific Language Error Fixing with Reinforcement Learning
arXiv:2511.19422v2 Announce Type: replace-cross Abstract: Large language models (LLMs) have shown impressive capabilities in code generation across many programming languages but even state-of-the-art LLMs generate progr…
- arXiv cs.AIagentsBabelCoder: Agentic Code Translation with Specification Alignment
arXiv:2512.06902v2 Announce Type: replace-cross Abstract: As software systems evolve, developers increasingly work across multiple programming languages and often face the need to migrate code from one language to anothe…
- arXiv cs.AIresearchConsist-Retinex: One-Step Noise-Emphasized Consistency Training Accelerates High-Quality Retinex Enhancement
arXiv:2512.08982v4 Announce Type: replace-cross Abstract: Retinex-based low-light image enhancement benefits from separating reflectance and illumination, yet recent generative approaches often rely on iterative sampling…
- arXiv cs.AIresearchDemo: Generative AI helps Radiotherapy Planning with User Preference
arXiv:2512.08996v3 Announce Type: replace-cross Abstract: Radiotherapy planning is a highly complex process that often varies significantly across institutions and individual planners. Most existing deep learning approac…
- arXiv cs.AIresearchPrompt-Based Continual Compositional Zero-Shot Learning
arXiv:2512.09172v3 Announce Type: replace-cross Abstract: We tackle continual adaptation of vision-language models to new attributes, objects, and their compositions in Compositional Zero-Shot Learning (CZSL), while prev…
- arXiv cs.AIresearchGeometric-Photometric Event-based 3D Gaussian Ray Tracing
arXiv:2512.18640v3 Announce Type: replace-cross Abstract: Event cameras offer a high temporal resolution over traditional frame-based cameras, which makes them suitable for motion and structure estimation. However, it ha…
- arXiv cs.AIresearchInitial results of the Digital Consciousness Model
arXiv:2601.17060v3 Announce Type: replace-cross Abstract: Artificially intelligent systems have become remarkably sophisticated. They hold conversations, write essays, and seem to understand context in ways that surprise…
- arXiv cs.AIagentsDynamic Welfare-Maximizing Pooled Testing
arXiv:2601.22419v2 Announce Type: replace-cross Abstract: Pooled testing uses one test to certify several agents as healthy when the pooled result is negative. We study a budget-constrained welfare problem in which agent…
- arXiv cs.AIresearchRAPTOR: Ridge-Adaptive Logistic Probes
arXiv:2602.00158v3 Announce Type: replace-cross Abstract: Probing studies what information is encoded in a frozen LLM's layer representations by training a lightweight predictor on top of them. Beyond analysis, probes ar…
- arXiv cs.AIresearchHuPER: A Human-Inspired Framework for Phonetic Perception
arXiv:2602.01634v2 Announce Type: replace-cross Abstract: We propose HuPER, a human-inspired framework that models phonetic perception as adaptive inference over acoustic-phonetics evidence and linguistic knowledge. With…
- arXiv cs.AIresearchBeyond Bag-of-Words: Diagnosing Compositional Binding Failures in Vision-Language Models
arXiv:2602.02043v2 Announce Type: replace-cross Abstract: Modern vision-language models struggle with basic compositional reasoning, failing to bind attributes to objects or relations to their referents. Existing benchma…
- arXiv cs.AIresearchAffective Flow Language Model for Emotional Support Conversation
arXiv:2602.08826v3 Announce Type: replace-cross Abstract: Large language models (LLMs) have advanced emotional support conversation, but existing alignment methods rely mainly on sparse preferences at the response level…
- arXiv cs.AIresearchSpectral-Sphere-Constrained Hyper-Connections
arXiv:2603.20896v2 Announce Type: replace-cross Abstract: Hyper-Connections (HC) extend residual connections into multiple streams, employing residual matrices for cross-stream mixing to enrich model expressivity. Howeve…
- arXiv cs.AIresearchGVCC: Zero-Shot Video Compression via Codebook-Driven Stochastic Rectified Flow
arXiv:2603.26571v4 Announce Type: replace-cross Abstract: At ultra-low bitrates, high-fidelity reconstruction requires sampling plausible videos from the posterior rather than regressing to oversmoothed conditional means…
- arXiv cs.AIresearchThe Shrinking Lifespan of LLMs in Science
arXiv:2604.07530v3 Announce Type: replace-cross Abstract: Scaling laws describe how language model capabilities grow with compute and data, but say nothing about how long a model matters once released. We introduce time-…
- arXiv cs.AIresearchEndogenous Information in Routing Games: Memory-Constrained Equilibria, Recall Braess Paradoxes, and Memory Design
arXiv:2604.11733v2 Announce Type: replace-cross Abstract: We study routing games in which travelers optimize over routes that are remembered or surfaced, rather than over a fixed exogenous action set. The paper develops…