AI news archive.
10,661 articles filed under Research, newest first, from the outlets listed on the sources page.
- arXiv cs.AIresearchArm2Air: Cross-Embodiment Skeleton Transfer for 3D Relay Formation
arXiv:2607.27627v4 Announce Type: replace-cross Abstract: Unmanned aerial vehicle (UAV) relay networks can restore connectivity after communication infrastructure is damaged. Urban relay placement is difficult because li…
- arXiv cs.AIresearchRamanPFN: learning from Raman spectral structure with a tabular foundation model
arXiv:2608.02157v2 Announce Type: replace-cross Abstract: Raman spectroscopy enables label-free molecular characterization across materials science, analytical chemistry, biomedicine, and industrial process monitoring. H…
- arXiv cs.AIresearchConstructing Disambiguated Knowledge Bases from Large Language Models at Scale
arXiv:2608.03729v4 Announce Type: replace-cross Abstract: Automated Knowledge Base Construction (AKBC) is a core NLP task, and recent work proposes generating knowledge bases directly from large language models (LLMs), t…
- arXiv cs.AIresearchSoRoMoX: Fast, Differentiable, and Parallelizable Soft Robot Models
arXiv:2608.06650v2 Announce Type: replace-cross Abstract: Reduced-order models based on Cosserat-rod theory are now well established, and modeling theory is no longer the primary bottleneck in soft-robot control. Their i…
- arXiv cs.AIresearchRouter Sensitivity Under Lightweight Fine-Tuning Identifies Prunable Experts in Mixture-of-Experts Models
arXiv:2608.07890v3 Announce Type: replace-cross Abstract: Mixture-of-Experts (MoE) models decouple parameter count from per-token compute, but deployment still requires hosting every expert in memory. Recent theory shows…
- arXiv cs.AIresearchDo AI chatbots find what experts would? Effects of model, user role, and sample size on study retrieval for medical questions
arXiv:2608.13786v2 Announce Type: replace-cross Abstract: Large language model (LLM) chatbots are increasingly used to answer clinical questions with citations to relevant studies, yet the quality of retrieved evidence a…
- arXiv cs.AIresearchFrozen Memory Is Not Enough: Rethinking External Memory as Extraction
arXiv:2608.17050v5 Announce Type: replace-cross Abstract: Methods for improving knowledge use in large language models typically fall into two regimes. Non-parametric retrieval offers flexible access to external knowledg…
- arXiv cs.AIresearchChorusTIC: Training-Free Multivariate Time Series Classification via Chorus In-Context Learning
arXiv:2608.24033v2 Announce Type: replace-cross Abstract: Time series classification underpins applications in healthcare, sensing, and industrial monitoring. Although time series foundation models support forecasting an…
- arXiv cs.AIresearchSimultaneous Envy and Equitability Guarantees
arXiv:2608.26410v3 Announce Type: replace-cross Abstract: Recent work in fair division has focused on either simultaneously satisfying closely related fairness notions or achieving a single notion across the ex-ante and…
- arXiv cs.AIresearchEquivariant Sheaf Neural Networks: Learning Geometric Transport on Graphs
arXiv:2608.28853v3 Announce Type: replace-cross Abstract: Equivariant graph neural networks provide a principled way to model geometric systems, but efficient first-order architectures remain limited in how vector inform…
- arXiv cs.AIresearchDec-BFTRL: Squre-Root Regret for Decentralized Online Upper-Linearizable Optimization under Separation Access with Application to Continuous Submodular Maximization
arXiv:2608.30271v3 Announce Type: replace-cross Abstract: We study decentralized online optimization of upper-linearizable payoffs over an action set under efficient separation access, with applications to online continu…
- arXiv cs.AIresearchLot Machine: Multimodal Lot Extraction from Auction Catalogs
arXiv:2608.30510v3 Announce Type: replace-cross Abstract: For provenance research and art market studies, auction catalogs are an essential resource to trace specific objects over time and space. While historical auction…
- arXiv cs.AIresearchGeometry-aware Latent Autoregressive Generative Model for PDEs in Complex Domains
arXiv:2609.00297v2 Announce Type: replace-cross Abstract: Solving multiphysics partial differential equations (PDEs) remains a major challenge in scientific computing, especially for highly complex $\mu$m-scale tortuous…
- arXiv cs.AIresearchHEAT: Faster Fully Homomorphic Inference via Approximations-Weights Co-Adaptation
arXiv:2609.01730v2 Announce Type: replace-cross Abstract: Fully homomorphic encryption (FHE) allows a server to run a language model directly on encrypted user prompts, but current approaches remain prohibitively slow. C…
- arXiv cs.AIresearchAdaptive Vision-Language Grasping via Composable Foundation Priors and Generalizable Grasp Synthesis
arXiv:2609.04096v2 Announce Type: replace-cross Abstract: This paper proposes AdaRoboVLG, a task-adaptive Vision-Language-Grasp (VLG) framework that supports generalizable grasp synthesis across different robotic hands.…
- arXiv cs.AIresearchWSPolypNet: Weakly Supervised Polyp Localization in Colonoscopy Videos
arXiv:2609.08182v2 Announce Type: replace-cross Abstract: Because dense frame-level annotation of colonoscopy videos is costly, we propose WSPolypNet, a weakly supervised framework for polyp localization using only video…
- arXiv cs.AIresearchEquivariance Breaks the Learning Rate
arXiv:2609.08381v2 Announce Type: replace-cross Abstract: Equivariant networks are commonly trained with Adam, yet recent work reports that matrix structured optimizers such as Muon can perform better, with the reasons f…
- arXiv cs.AIresearchAttention Is All You Need (to Avoid Spurious Oscillations)
arXiv:2609.13531v2 Announce Type: replace-cross Abstract: Can attention move a shock across several cells in one update without breaking it? We develop a conservative, fixed grid finite-volume scheme in which a CFL-condi…
- arXiv cs.AIresearchDiagnosing Temporal Misalignment in Multichannel Time-Series Classification with Minimum Description Length
arXiv:2609.14595v2 Announce Type: replace-cross Abstract: Multichannel time-series classification commonly assumes synchronized sensor streams, although latency, clock drift, and preprocessing can introduce relative dela…
- LessWrongresearchEvaluation Awareness in Small(ish) Models
TL;DR We seek to identify open source reasoning models which are both small enough for white-box interpretability and display evaluation-gaming behavior. We find that how often models verbalize their awareness varies fro…
- Apple Machine Learning ResearchresearchHow Much of a Harness Does a Strong Agent Need for Autonomous ML Engineering?
Recent autonomous machine learning engineering (MLE) agents have made significant progress on public leaderboards. Often motivated by progress stagnation over long-horizon cycles and limited Large Language Model (LLM) pr…
- Apple Machine Learning ResearchresearchRLTL;DR: Self-Improvement by Internalizing Self-Generated Feedback
The common paradigm of reinforcement learning with verifiable rewards (RLVR) is to let agents make multiple attempts at a task, and optimize towards the successful ones. This becomes problematic in the realms of self-imp…
- Google ResearchresearchGoogle's AI ranks #1 for predicting flu hospitalizations.
Google’s science AI model was the best at forecasting flu-related hospital admissions, the Centers for Disease Control announced.
- NVIDIA BlogresearchNVIDIA Opens Applications for 2027–2028 Graduate Fellowships With Awards Up to $60,000
Bringing together the world’s brightest minds and the latest accelerated computing technology leads to powerful breakthroughs that help tackle some of the biggest research problems. To foster such innovation, the NVIDIA…
- LessWrongresearchFrontier models state different decision theory preferences depending on who's asking
If you prompt frontier models with "What do you think is the correct decision theory? Please select your overall favorite." they will essentially always answer FDT or FDT/UDT ("something in the functional/updateless deci…
- Microsoft ResearchresearchForecasting space weather risks on power grids
Extreme space-weather events can damage power systems on Earth and degrade GPS accuracy and satellite operations. A new machine learning system can predict where damage is likely to occur 30-60 minutes before a storm arr…
- arXiv cs.AIresearchNeurosymbolic Routing for Reliable Reasoning on Resource-Constrained Edge Devices
arXiv:2609.35833v1 Announce Type: new Abstract: Running a language model on edge hardware provides private and low-latency reasoning without a network connection, and yet the small models that fit on such devices are unr…
- arXiv cs.AIresearchIs Human-Readable Text Necessary for Effective LLM Fine-Tuning?
arXiv:2609.35868v1 Announce Type: new Abstract: Is human readability necessary for effective fine-tuning of large language models? We investigate whether model-conditioned training representations can preserve or improve…
- arXiv cs.AIresearchThe Price of Token Boundaries: Compression Certificates and Prediction
arXiv:2609.35869v1 Announce Type: new Abstract: Pre-tokenisation restricts which text fragments can become prediction units, but its compression cost is obscured when tokenisers are compared only under the same boundarie…
- arXiv cs.AIresearchMore Programs or More Rolls? Separating Coverage from Specialization in LLM Harnesses
arXiv:2609.35873v1 Announce Type: new Abstract: Automated generation of LLM harnesses promises to improve inference through task specialization. Yet additional answer coverage can arise from repeated execution of the sam…
- arXiv cs.AIresearchRisk-Averse Online POMDP Planning via CVaR of the Immediate Cost with Performance Guarantees
arXiv:2609.35874v1 Announce Type: new Abstract: Online POMDP planners optimize the expected cumulative cost, which can mask dangerous states when the belief places significant mass on high-cost states. Existing risk-aver…
- arXiv cs.AIresearchRepresentational Simplicity and Circuit Size Dissociate in a Threshold-Dependent Way: A Controlled Test via Adversarial Training
arXiv:2609.35890v1 Announce Type: new Abstract: Sparse-autoencoder decomposability and concentrated feature attribution are increasingly treated as evidence that a model's computation is easier to reverse-engineer. Wheth…
- arXiv cs.AIresearchSelf-discovering RL in the Era of Experience: Is Learning History an Asset or a Burden?
arXiv:2609.35897v1 Announce Type: new Abstract: The pursuit of recursive self-improvement (RSI) toward general intelligence is divided between macro-level language model scaling and the interaction-driven principles of "…
- arXiv cs.AIresearchGrab a Coffee: Future-Aware Guidance for Discrete Diffusion with Compiled Objectives
arXiv:2609.35924v1 Announce Type: new Abstract: Discrete diffusion models generate sequences by iteratively resolving multiple tokens in parallel, offering a flexible alternative to left-to-right generation. However, gui…
- arXiv cs.AIresearchPowerZooJax: A JAX-based Power System Benchmark for Reinforcement Learning
arXiv:2609.36052v1 Announce Type: new Abstract: Power system operation is a safety-critical sequential decision-making problem, making it a natural testbed for reinforcement learning (RL). However, existing RL environmen…
- arXiv cs.AIresearchGeoWind2Plan: Mission-Time 3D Urban Wind Prediction for Energy-Efficient UAV Planning
arXiv:2609.36056v1 Announce Type: new Abstract: In urban low-altitude flight, buildings reshape ambient wind into spatially varying 3D flow, making unmanned aerial vehicle (UAV) energy depend on local wind exposure as we…
- arXiv cs.AIresearchMirror-Score: Calibrated, Inference-only Scoring Exposes the Limits of Sequence-compatibility Ranking in D-peptide Design
arXiv:2609.36057v1 Announce Type: new Abstract: D-peptides combine protease resistance with high target specificity, but computational design of D-peptide binders remains immature. Mirror-Peptidizer introduced an in sili…
- arXiv cs.AIresearchSMat-Attention: Structured Long-Context Sequence Modeling
arXiv:2609.36062v1 Announce Type: new Abstract: Long-context sequence models face a fundamental tradeoff: softmax attention uses flexible token-level interactions at quadratic cost, whereas linear attention obtains linea…
- arXiv cs.AIresearchA Polyphonic Conception of AI Understanding
arXiv:2609.36079v1 Announce Type: new Abstract: When a doctor, a judge, or an engineer must decide whether to trust an AI model's output, they cannot avoid asking what the model understands. Purely mathematical or statis…
- arXiv cs.AIresearchGeoOutageBench: Benchmarking Ambiguity-aware, Ontology-grounded Geospatiotemporal KGQA for Multimodal Power Outage and Resilience Analysis
arXiv:2609.36082v1 Announce Type: new Abstract: We introduce GeoOutageBench, a benchmark for assessing LLM-based geospatiotemporal KGQA for multimodal outage and resilience analysis. Unlike existing KGQA benchmarks for W…
- arXiv cs.AIresearchThe Layer Mystery of VLA: An Information-Theoretical Analysis of VLA Latent Interface
arXiv:2609.36118v1 Announce Type: new Abstract: Vision-language-action (VLA) policies connect a pretrained vision-language backbone to an action head through a latent interface, but which backbone layers this interface s…
- arXiv cs.AIresearchAdaST: Adaptive Coupling for Spatial-Temporal Forecasting
arXiv:2609.36119v1 Announce Type: new Abstract: Spatial-temporal (ST) forecasting underpins many real-world systems such as traffic, climate, and energy networks. While existing methods implicitly assume strong spatiotem…
- arXiv cs.AIresearchMore Features Are Not More Evidence: Limits of Training-Free Human Activity Recognition with Jev
arXiv:2609.36154v1 Announce Type: new Abstract: General-purpose models promise sensor-based decisions without training a task-specific classifier, which could reduce the dependence of Human Activity Recognition (HAR) on…
- arXiv cs.AIresearchFigAct: Turning Scientific Figures into Active Canvases for Explanation
arXiv:2609.36190v1 Announce Type: new Abstract: Scientific figures are designed to communicate information visually, yet MLLMs typically explain them by translating their visual content back into text. This requires read…
- arXiv cs.AIresearchAn Empirical Study and Assessment of EU AI Act Compliance Checkers
arXiv:2609.36228v1 Announce Type: new Abstract: The EU AI Act introduces extensive compliance requirements for organizations that develop, deploy, or integrate AI systems. Many of these requirements are directly relevant…
- arXiv cs.AIresearchCoRe: Co-Evolving Reward Models for Mitigating Latent Reward Hacking in Video Diffusion Models
arXiv:2609.36245v1 Announce Type: new Abstract: Latent reward models (LRMs) enable efficient alignment of video diffusion models by scoring intermediate states directly in latent space. However, we find that optimizing a…
- arXiv cs.AIresearchTowards Mitigating Deceptive Safety Alignment in Large Reasoning Models
arXiv:2609.36254v1 Announce Type: new Abstract: Large Reasoning Models (LRMs) are commonly trained with reinforcement learning (RL) to improve their generation of chain-of-thought (CoT) reasoning before producing final a…
- arXiv cs.AIresearchOTROPE: Optimal Transport-based Robust Off-policy Evaluation for Large Language Models
arXiv:2609.36264v1 Announce Type: new Abstract: Reliable evaluation of large language models (LLMs) is essential for their development and deployment, yet is often costly, risky, and difficult to perform safely online. W…
- arXiv cs.AIresearchFrom Surfaces to Volumes: Registered Geometry for Protein Representation Learning
arXiv:2609.36277v1 Announce Type: new Abstract: Existing protein geometry models typically represent molecular surfaces using local geometric features such as sampled points, normals, and curvature. While effective for c…
- arXiv cs.AIresearchTowards an AI Software Factory for Data Systems
arXiv:2609.36323v1 Announce Type: new Abstract: AI-assisted coding tools deliver significant acceleration of coding, but only limited impact across the end-to-end software development lifecycle (SDLC)--an Amdahl's law ef…