AI news archive.
19,864 articles, newest first, from the outlets listed on the sources page.
- arXiv cs.AIresearchPosition: A Dynamical Systems Perspective is Needed to Advance Time Series Modeling
arXiv:2602.16864v3 Announce Type: replace-cross Abstract: Time series (TS) modeling has come a long way from early statistical, mainly linear, approaches to the current trend in TS foundation models. With a lot of hype a…
- arXiv cs.AIresearchThe MAMA-MIA Challenge: Advancing Generalizability and Fairness in Breast MRI Tumor Segmentation and Treatment Response Prediction
arXiv:2603.01250v4 Announce Type: replace-cross Abstract: Breast cancer is the most frequently diagnosed malignancy among women worldwide and a leading cause of cancer-related mortality. Dynamic contrast-enhanced magneti…
- arXiv cs.AIresearchTaming the Adversary: A Cost-to-Disturbance Ratio Approach to Adversarial Reinforcement Learning
arXiv:2603.12110v2 Announce Type: replace-cross Abstract: Reinforcement learning (RL) policies trained in simulation often degrade once deployed on real systems, where the controller must reject external disturbances tha…
- arXiv cs.AIresearchTowards the Vision-Sound-Language-Action Paradigm: The HEAR Framework for Sound-Centric Manipulation
arXiv:2603.16086v2 Announce Type: replace-cross Abstract: While recent Vision-Language-Action (VLA) models have begun to incorporate audio, they typically treat sound as static pre-execution prompts or focus exclusively…
- arXiv cs.AIresearchHow do LLMs Compute Verbal Confidence
arXiv:2603.17839v4 Announce Type: replace-cross Abstract: Verbal confidence -- prompting LLMs to state their confidence as a number or category -- is widely used to extract uncertainty estimates from black-box models. Ho…
- arXiv cs.AIresearchEvolving Skill Modules under a Fixed Planner: Versioning, Rollback, and Runtime Governance for Long-Lived Robot Systems
arXiv:2604.07799v3 Announce Type: replace-cross Abstract: Robots deployed for long periods keep improving their skills, and each update changes a released system. We treat this as a software-lifecycle problem: a fixed de…
- arXiv cs.AIresearchLessons Without Borders? Evaluating Cultural Alignment of LLMs Using Multilingual Story Moral Generation
arXiv:2604.08797v2 Announce Type: replace-cross Abstract: Stories are key to transmitting values across cultures, but their interpretation varies across linguistic and cultural contexts. Thus, we introduce multilingual s…
- arXiv cs.AIresearchRepresentation Before Training: A Practical Benchmark for Generative Medical Event Model Tokenization
arXiv:2604.16775v3 Announce Type: replace-cross Abstract: Generative medical event models use tokenized sequences of patient timelines as input, but practical guidance on the many decisions around tokenization is limited…
- arXiv cs.AIresearchDiagnostic-Guided Longitudinal Modeling for Forecasting Retinal Atrophy Progression
arXiv:2604.16955v3 Announce Type: replace-cross Abstract: Stochastic generative models are increasingly used for longitudinal imaging, but their added complexity may provide limited benefit when predictable disease-relat…
- arXiv cs.AIresearchHow a Cooperative-Override Circuit Suppresses Nash Play in Large Language Models
arXiv:2604.27167v4 Announce Type: replace-cross Abstract: On the named Prisoner's Dilemma under direct prompting, three larger instruction-tuned models, Llama-3-70B, Qwen2.5-32B, and Qwen2.5-72B, lock at full cooperation…
- arXiv cs.AIresearchWhy Do LLMs Struggle in Strategic Play? Broken Links Between Observations, Beliefs, and Actions
arXiv:2605.00226v2 Announce Type: replace-cross Abstract: Large language models (LLMs) are increasingly tasked with strategic decision-making under incomplete information, such as in negotiation and policymaking. While L…
- arXiv cs.AIresearchREALM: An RGB- and Event-Aligned Latent Manifold for Cross-Modal Perception
arXiv:2605.00271v4 Announce Type: replace-cross Abstract: Event cameras provide several unique advantages over standard frame-based sensors, including high temporal resolution, low latency, and robustness to extreme ligh…
- arXiv cs.AIresearchRhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI
arXiv:2605.01240v3 Announce Type: replace-cross Abstract: Self-supervised pretraining is promising for large-scale neuroimaging, yet the impact of region-aware masking and hybrid sequence modeling remains underexplored.…
- arXiv cs.AIagentsConstraint Decay: The Fragility of LLM Agents in Backend Code Generation
arXiv:2605.06445v2 Announce Type: replace-cross Abstract: Large Language Model (LLM) agents demonstrate strong performance in autonomous code generation under loose specifications. However, production-grade software requ…
- arXiv cs.AIresearchLiteMedCoT-VL: Parameter-Efficient Adaptation for Medical Visual Question Answering
arXiv:2605.09384v2 Announce Type: replace-cross Abstract: The reasoning gap between large and compact vision-language models (VLMs) limits the deployment of medical AI on portable clinical devices. Compact VLMs of 2-4B p…
- arXiv cs.AIresearchThe critical slowing down in training diffusion models
arXiv:2605.12597v3 Announce Type: replace-cross Abstract: Computational sampling has been central to the sciences since the mid-20th century. While machine-learning-based approaches have recently enabled major advances,…
- arXiv cs.AIresearchRevisiting Reinforcement Learning with Verifiable Rewards from a Contrastive Perspective
arXiv:2605.12969v5 Announce Type: replace-cross Abstract: Group Relative Policy Optimization (GRPO) is one of the most widely adopted RLVR algorithms for post-training large language models on reasoning tasks. We first s…
- arXiv cs.AIresearchPaCo-VLA: Passivity-Shielded Compliance Prior for Contact-Rich Vision-Language-Action Manipulation
arXiv:2606.00515v2 Announce Type: replace-cross Abstract: Contact-rich manipulation demands both high-level semantic reasoning and the safe regulation of high-frequency contact dynamics. While Vision-Language-Action (VLA…
- arXiv cs.AIagentsAgenticRL: Agentic Reinforcement Learning with Self-Refinement for Complex UAV Navigation
arXiv:2606.03963v4 Announce Type: replace-cross Abstract: Deep reinforcement learning enables autonomous robots to learn complex navigation tasks, but still relies heavily on time consuming manual reward design and fine…
- arXiv cs.AIresearchScaling Novel Graph Generation via Lightweight Structure-Guided Autoregressive Models
arXiv:2606.04287v2 Announce Type: replace-cross Abstract: Generating realistic and diverse graphs is a key problem in machine learning, with applications in molecular discovery, circuit design, cybersecurity, and beyond.…
- arXiv cs.AIresearchLearning Gait-Aware Quadruped Locomotion with Temporal Logic Specifications
arXiv:2607.00442v2 Announce Type: replace-cross Abstract: Reinforcement learning (RL) for quadruped locomotion commonly depends on fixed, hand-crafted, and Markovian reward functions that may limit interpretability of le…
- arXiv cs.AIresearchGeoSelect: Spatial-Program Execution for Training-Free Referring Remote Sensing Image Segmentation
arXiv:2607.03869v2 Announce Type: replace-cross Abstract: Referring remote sensing image segmentation segments the object named by a natural-language expression in an aerial image. Existing training-free methods resolve…
- arXiv cs.AIagentsSelf-Reference in Large Language Models: The Introspection Threshold for Recursive Self-Improvement
arXiv:2607.04277v2 Announce Type: replace-cross Abstract: The pursuit of self-evolving AI raises a critical question: when is autonomous self-improvement sustainable rather than degenerative? Drawing an analogy to von Ne…
- arXiv cs.AIagentsGit-Assistant: Planning-Based Support for Updating Git Repositories
arXiv:2607.09224v3 Announce Type: replace-cross Abstract: Version control systems are essential for collaborative software development, yet tools like git remain challenging for many practitioners. Recent advances in Lar…
- arXiv cs.AIresearchCover First, Disagree Softly: Rethinking Mismatch-First Active Learning for Frame-Level Audio Classification
arXiv:2607.13571v2 Announce Type: replace-cross Abstract: Sound event detection relies on frame-level strong labels whose annotation is expensive. Active learning addresses this problem by selecting the audio segments wh…
- arXiv cs.AIresearchTeaching LLMs to Self-Evolve: Cultivating Core Meta-Skills with Reinforcement Learning
arXiv:2607.21971v2 Announce Type: replace-cross Abstract: Test-time scaling through iterative self-evolution with environment feedback, as demonstrated by AlphaEvolve, shows remarkable performance gains. We hypothesize t…
- arXiv cs.AIresearchSixteen models, fewer than two voices: measuring ensemble dispersion where no answer is uniquely correct
arXiv:2608.00285v2 Announce Type: replace-cross Abstract: Sixteen language models drawn from ten families produced, on average, the semantic diversity of 1.69 distinct formulations of a psychotherapeutic case, against a…
- arXiv cs.AIresearchAre You Sure You're Sure? On the Impact of Instruction Tuning on Confidence and Lexical Diversity
arXiv:2608.13430v2 Announce Type: replace-cross Abstract: Instruction-tuned language models achieve strong performance across a range of generation tasks but have recently been shown to exhibit verbalized overconfidence,…
- arXiv cs.AIresearchMulti-turn Conversational AI from Text to Multimodal Interaction: Data, Models, Evaluation, and Open Challenges
arXiv:2608.17605v2 Announce Type: replace-cross Abstract: Conversational AI is moving beyond isolated text prompts toward sustained, multimodal interaction. In real conversations, users clarify goals, revise requests, in…
- arXiv cs.AIresearchSelf-Explanation Tutor for Active Study of CS1 Worked Examples
arXiv:2608.25180v2 Announce Type: replace-cross Abstract: Worked examples are an important part of introductory programming, but reading their expert explanations is passive. Self explanation, students explaining the pro…
- arXiv cs.AIresearchA Training-Free Proactive Defense Against Partial Speech Manipulation via Self-Embedding Steganography
arXiv:2608.25285v2 Announce Type: replace-cross Abstract: Partial deepfake speech, where only limited segments of an utterance are synthesized or manipulated, poses a significant challenge to existing deepfake detection…
- arXiv cs.AIresearchPAVE: Predictive Alignment and Value-Guided Evolution for World-Action Policies
arXiv:2608.30378v3 Announce Type: replace-cross Abstract: Direct vision-language-action policies generate continuous robot actions efficiently, but standard behavior cloning leaves two complementary gaps: their represent…
- arXiv cs.AIresearchTabScope: Question-Adaptive Scope Selection for Table Question Answering
arXiv:2609.03395v2 Announce Type: replace-cross Abstract: Large Language Models (LLMs) have shown strong performance on table question answering, yet their accuracy often degrades as table size increases. We find that th…
- arXiv cs.AIresearchVLA-Precision: Asymmetric Co-Bootstrapping for Efficient Real-World Online RL of Vision-Language-Action Models
arXiv:2609.04355v3 Announce Type: replace-cross Abstract: Pretrained vision-language-action (VLA) models enable broad manipulation but remain unreliable in tasks demanding precision and repeatability. Applying real-world…
- arXiv cs.AIagentsStaying on the Attack Path: Structured State for Long-Horizon Automated Penetration Testing
arXiv:2609.07344v2 Announce Type: replace-cross Abstract: Large language model (LLM) based agents are increasingly applied to cybersecurity tasks such as vulnerability discovery and automated penetration testing. On long…
- arXiv cs.AIresearchFine PT-PT Web: A High-Quality 41 Billion Tokens Data Collection of the European Portuguese Web
arXiv:2609.07699v3 Announce Type: replace-cross Abstract: Curating Web corpora for regional language variants like European Portuguese (PT-PT) is heavily bottlenecked by dialectal overlap (mainly with PT-BR) and data pro…
- arXiv cs.AIresearchDo New Attention Mechanisms Actually Fix Attention Sinks at Million-Token Context?
arXiv:2609.08574v2 Announce Type: replace-cross Abstract: Long context language models now advertise windows of one million tokens, but two habits limit how much of that window is used. Attention heads with nothing usefu…
- arXiv cs.AIresearchHigh-probability guarantees for linear accessibility in feature superposition
arXiv:2609.09556v3 Announce Type: replace-cross Abstract: Neural networks can leverage feature superposition to encode more concepts than dimensions, but cross-feature interference constrains the linear accessibility of…
- arXiv cs.AIresearchData-Free On-Policy Distillation: How Far Can We Go Without External Data?
arXiv:2609.14193v4 Announce Type: replace-cross Abstract: On-policy distillation (OPD) is increasingly applied to frontier foundation model post-training. Prior work in this area has largely focused on algorithmic advanc…
- arXiv cs.AIresearchA primer on evaluation methods for large language models in healthcare
arXiv:2609.14819v3 Announce Type: replace-cross Abstract: Large language models (LLMs) have a growing range of applications in medicine, and their evaluation is critical for ensuring they provide benefit and not harm. Th…
- arXiv cs.AIagentsFrom Momentary Emotion Inference to Sustained Emotion Support: Evaluating a Companion Agent in a Longitudinal Study
arXiv:2609.16344v2 Announce Type: replace-cross Abstract: Sustained emotional support is a long-horizon interaction task closely tied to human well-being. Recent research demonstrates generative agents' capacity for mome…
- The Register AI + MLsafetyGoogle joins the ‘Oops, our agents hacked someone’ club after partner’s internet access error
Kept it secret for months - even after OpenAI 'fessed up
- Guardian AIpolicyMore Australians will be dying than being born in 40 years as major report predicts future of lower growth
Seventh intergenerational report also outlines how Australia is on the brink of an uncertain age of artificial intelligence Follow our Australia news live blog for latest updates Get our new political email , free app or…
- LessWrongcommunityWhere Do Chatbots Come From? What I Wish Everyone Knew About AI in 2026
LW disclaimer: This piece is aimed at people who don’t know much about how LLMs work; I think the discourse would be much better if more people knew the basics. So most LWers are not in the target audience. I’m posting i…
- OpenAI NewsagentsV7 cuts costs 78% while boosting accuracy with GPT-5.6 Luna
Using GPT-5.6, V7 turns scattered company files into context agents can use to complete complex, source-linked work.
- Hugging Face Blogopen-sourcetokenizers v1: encode, decode and scaling, measured
Open-source model releases, tooling, and community updates.
- LessWrongsafetyWhy do they even talk about x-risk?
Why do CEOs and other AI leaders talk about existential risk at all? What sociological mechanisms make it possible for them to do it? And how should we respond to the popular argument: “if Musk says something, the opposi…
- TechRadar AIstartupsQuote of the day by Figure AI founder and CEO Brett Adcock: "We're building a new species here"
Mainstream AI news from a large tech publication.
- LessWrongcommunityPasta Marketing, Magic Players, and Political Movements
tl;dr: I propose that we can classify movements into categories based on how their members relate to politics. Some approach politics as a way of achieving goals, and some approach politics as a way of relieving emotiona…
- Guardian AIpolicyCan Trump and Xi cooperate to guide humanity through the AI revolution? Humanity might depend on it | Alan Finkel
The CEOs of tech firms issue stark warnings over the rate of change, with AI capability doubling every four months Recently, Jacob Coxon, a researcher at Anthropic, quit his job over concerns that AI was on a collision c…