AI news archive.
10,659 articles filed under Research, newest first, from the outlets listed on the sources page.
- arXiv cs.AIresearchLearning Loco-Manipulation From SMPC Demonstrations With Sparse Offline-to-Online RL
arXiv:2608.12063v2 Announce Type: replace-cross Abstract: Integrating locomotion and manipulation is essential for robot autonomy, but scaling standard Reinforcement Learning (RL) to complex tasks is severely bottlenecke…
- arXiv cs.AIresearchFrom Atomic Evidence to Logical Composition: Structured Compositional Reasoning over Compound Answer Options
arXiv:2608.12836v2 Announce Type: replace-cross Abstract: Large language models often fail when answer options require combining atomic judgments under explicit logical operators, even when they judge the individual atom…
- arXiv cs.AIresearchSteering the Flow: Inverting Face Recognition Models via Gradient-Guided Flow Matching
arXiv:2608.16791v2 Announce Type: replace-cross Abstract: Model Inversion Attacks (MIAs) aim to reconstruct representative training samples of target identities from face recognition models, exposing critical security vu…
- arXiv cs.AIresearchCredit Without Ground Truth: Claim-Matched Evaluation of Step-Level Credit with Finite Executed Replay
arXiv:2608.19760v3 Announce Type: replace-cross Abstract: Step-level credit evaluation can conflate numerical association with ordering and branch recovery with position-selection value. We test these distinctions in ALF…
- arXiv cs.AIresearchWhat Can One Sentence Fix? A Failure Taxonomy and a Minimal Language Correction for Frozen VLA Policies
arXiv:2608.29967v2 Announce Type: replace-cross Abstract: When a deployed vision-language-action (VLA) policy fails, fine-tuning it again for every new setting is costly, yet the person watching it can usually say what w…
- arXiv cs.AIresearchEEG-VID: Task-Guided Latent Predictive Pretraining for EEG Decoding and Assistive Target Selection
arXiv:2609.00566v4 Announce Type: replace-cross Abstract: We propose EEG-VID, a task-guided latent predictive pretraining framework for EEG decoding under session and subject shifts. EEG-VID predicts future latent EEG st…
- arXiv cs.AIresearchFrom Truncation to Commitment: Persistent Context in Uniform Discrete Diffusion
arXiv:2609.01043v2 Announce Type: replace-cross Abstract: Uniform-state discrete diffusion models update all tokens in parallel while keeping every position revisable. Even when the commonly used top-$p$ rule leaves only…
- arXiv cs.AIresearchRecovering topological information of light by topological learning
arXiv:2609.06542v2 Announce Type: replace-cross Abstract: The evolution of modern-day communication networks towards enhanced capacity and robustness is driving interest in topological light wave as a next-generation inf…
- arXiv cs.AIresearchStructure Across Voices: Comparing acoustic-event type accumulation and sequence dependence across four vocal corpora using frozen audio encoders
arXiv:2609.16612v2 Announce Type: replace-cross Abstract: Comparing acoustic structure across very different vocal corpora is difficult because the recordings use different native event units, contain different amounts o…
- LessWrongresearchA big case study of propensity entanglement
This is a link-post for our new paper " Predicting how propensities generalize out-of-distribution ", which started as a SPAR project. We select 24 propensities, elicit each through 4 different methods, and then test how…
- LessWrongresearchAre Persona Features Coherent?
Epistemic status: would not be surprised if I'm missing prior discussion that could shed light on this. Let me know if you know of anything! What is the difference between a "deception feature" and a "deceptive persona f…
- The Verge AIresearchOpenAI announces three big science discoveries and a new way to work with academics
Less than a month after its mass release of hundreds of manuscripts that it said contained solutions to long-standing mathematics questions, OpenAI is back with three more "major" discoveries in math, computer science, a…
- LessWrongresearchTowards an Architecture-Agnostic Definition of "Attention"
This brief post is meant to inspire and to start an open dialogue. I am genuinely curious to listen and incorporate your opinions, challenges, and insights. The Context I have been pondering for some time about the fact…
- Engadget AIresearchOpenAI announces new discoveries in mathematics, computer science and physics
OpenAI said its models generated proof that the Exponential Time Hypothesis is false. It also released new results for math and physics problems.
- AI BusinessresearchHonda demonstrates remote-controlled robot for complex physical tasks
The system illustrates how remote human control could help robotics developers deploy machines before AI can reliably handle complex physical tasks on its own.
- IEEE Spectrum AIresearchIEEE Xplore Digital Library Adds AI Assistant
IEEE recently released the IEEE Xplore AI Research Suite , built on the full text of millions of peer-reviewed publications in the IEEE Xplore Digital Library . The library offers full-text access to IEEE standards , jou…
- The DecoderresearchResearchers find six patterns that make AI text so exhausting to read
A study from New York University and the University of Texas at Austin shows that frontier language models systematically overuse linguistic patterns that are hard for humans to parse. The researchers trace the problem t…
- LessWrongresearchBrute-Force Progress on AlgZoo's 432-param Interpretability Challenge
Nick Cammarata's recent article made me want to take a serious stab at interpretability myself. After a bit of consideration, I decided to work on the AlgZoo challenge that was posted here earlier. I trained an estimator…
- LessWrongresearchThe Ability of Frontier Models to Control Robots is Rapidly Improving
Summary We demonstrate that general purpose multimodal language models (LMs) are increasingly capable of directly controlling real robotic arms (e.g., by specifying gripper positions) to manipulate their environment. Per…
- LessWrongresearchCan the Assistant Axis Predict Reward-Hacking?
NOTE: This article was written by Jansen Nye, a member of my research lab based on some exploratory studies we've done. As he notes, we collaborated on this research. The article was written by him with some edits sugges…
- Simon Willison's Weblogresearchwebframe: evaluated as a scraper and a sandbox
Research: webframe: evaluated as a scraper and a sandbox webframe is a neat little project from Jeff Lindsay which lets you "run a web page like a program" - you point it at a URL or file and it executes it in a hidden h…
- Import AIresearchImport AI 478: Math for alignment; ProgramBench; and Mirendil shows what RSI means
What is “night” to a machine?
- TechRadar AIresearchThe shift to decision intelligence: Move beyond analytics to real time activation
Mainstream AI news from a large tech publication.
- OpenAI NewsresearchChatGPT’s expanding world of work
Explore OpenAI Signals data on 165 work activities across nearly 100 countries, revealing how people use ChatGPT for work and how usage changes over time.
- LessWrongresearchA cat-belling problem for FDT
[AI disclosure: I used Opus 5.5 for light edits after my first draft] Functional decision theory (Yudkowsky and Soares 2017) proposes choosing actions as follows (equation 4 in the paper): mjx-container[jax="CHTML"] { li…
- arXiv cs.AIresearchTradeoff-Aware Territory Design: A Multi-Objective Decision System for Enterprise Customer-to-Seller Allocation
arXiv:2610.31701v1 Announce Type: new Abstract: Enterprise customer journeys are shaped not only by product experiences and marketing, but also by recurring resource-allocation decisions. In B2B go-to-market (GTM) organi…
- arXiv cs.AIresearchPatronizing and Condescending Language Detection in English and Mandarin
arXiv:2610.31808v1 Announce Type: new Abstract: Patronizing and condescending language (PCL) is a form of harmful language that belittles and assumes pity for vulnerable groups, reinforcing negative societal stereotypes.…
- arXiv cs.AIresearchReject, Remember, Retry: Why Multi-Turn Attackers Should Remember Their Mistakes
arXiv:2610.31937v2 Announce Type: replace Abstract: Existing multi-turn jailbreak attackers condition on the same conversation history as the target. We introduce $R^3$ (Reject, Remember, Retry), a black-box multi-LLM fr…
- arXiv cs.AIresearchPPO vs. SAC: A Comparative Study for Cooperative Motion Control of Dual-Arm Space Robots
arXiv:2610.32034v1 Announce Type: new Abstract: The growing population of orbital debris has intensified interest in active debris removal and on-orbit servicing, for which dual-arm space manipulators offer improved gras…
- arXiv cs.AIresearchCan Test-Time Memory Evolution Outperform Test-Time Training for Scientific Discovery?
arXiv:2610.32046v1 Announce Type: new Abstract: Recent \emph{test-time training} (TTT) frameworks have enabled open-weight large language models (LLMs) to outperform inference-only frameworks powered by frontier models o…
- arXiv cs.AIresearchHyScale: Scaling Long-Context Training for Learned Sparse Attention
arXiv:2610.32057v2 Announce Type: replace Abstract: We present HyScale, a long-context training system for learned sparse attention. Learned sparse attention is a promising architecture for million-token contexts, widely…
- arXiv cs.AIresearchDELA: Learning Controllable Edits for Diffusion Language Models
arXiv:2610.32096v1 Announce Type: new Abstract: Diffusion language models (DLMs) support bidirectional denoising and iterative refinement, but generation remains largely controlled by token-level masking schedules. This…
- arXiv cs.AIresearchLearning Nonlinear Waveform Fusion Across Scales for Integrated Sensing and Communication
arXiv:2610.32099v1 Announce Type: new Abstract: Fixed source superposition and frequency partitioning constrain how communication content interacts with a probing reference in integrated sensing and communication (ISAC).…
- arXiv cs.AIresearchMPQ: A Message-Passing View of Post-Training Quantization
arXiv:2610.32127v1 Announce Type: new Abstract: Post-training quantization (PTQ) is a key technique for efficiently deploying large language models, as it compresses weights into low-bit representations without retrainin…
- arXiv cs.AIresearch$\Psi$-0.6: Adaptive Streams of Thought in a Unified Vision-Language World Model
arXiv:2610.32177v1 Announce Type: new Abstract: Humans reason about the physical world by flexibly combining different forms of inference as a problem unfolds. Achieving this flexibility is a major open challenge in AI:…
- arXiv cs.AIresearchNot All Information Is Worth Asking For: Decision-Informed Information Seeking with LLMs
arXiv:2610.32181v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used to support decisions under incomplete information, where deciding what to look up and when to stop matters as much as the…
- arXiv cs.AIresearchEvidence-Grounded SLM Behavioral Prediction Architecture for Future Assistance Use
arXiv:2610.32193v1 Announce Type: new Abstract: Users often exhibit changes in interaction behavior before explicitly seeking assistance, enabling systems to anticipate future assistance use. This is especially important…
- arXiv cs.AIresearchWatermarking Diffusion Language Models with Learned Foresight and Balanced Bands
arXiv:2610.32205v1 Announce Type: new Abstract: Green-red watermarks favor tokens from a green list that a secret key derives from the preceding tokens. Diffusion language models, however, often choose a token before its…
- arXiv cs.AIresearchPEAR: Adaptive Advantage Reshaping for Perception and Exploration in Large Vision-Language Models
arXiv:2610.32216v1 Announce Type: new Abstract: Effective multimodal reasoning requires a model to reliably utilize visual information while sufficiently exploring diverse reasoning paths. To achieve this goal, prior wor…
- arXiv cs.AIresearchRxnExBench: Benchmarking Vision-Language Models for Structured Chemical Reaction Extraction from Scientific Literature
arXiv:2610.32221v1 Announce Type: new Abstract: Screen Tables and Substrate Scopes are information-dense figures widely used in synthetic chemistry literature, yet automated extraction of structured reaction data from th…
- arXiv cs.AIresearchTraining an MoE LLM in MXFP4: How We Closed the Gap to BF16
arXiv:2610.32229v2 Announce Type: replace Abstract: Training large language models (LLMs) in sub-8-bit arithmetic promises substantial gains in memory bandwidth and compute throughput, yet FP4 formats introduce quantizat…
- arXiv cs.AIresearchSpatial Heuristic Strategy based Diffusion Reinforcement Learning for Online 3D Bin Packing
arXiv:2610.32241v1 Announce Type: new Abstract: Traditional heuristic methods have accumulated mature experience in core objectives, such as space utilization and layout compactness of 3D bin packing, relying on artifici…
- arXiv cs.AIresearchSolvent: Long-Horizon Reasoning for Multi-Step Retrosynthesis
arXiv:2610.32308v1 Announce Type: new Abstract: Multi-step retrosynthesis requires recursively transforming a target molecule through successive reaction steps into purchasable building blocks, and recent work has begun…
- arXiv cs.AIresearchFrom Visual Affinity to Learning Credit in Multimodal Reinforcement Learning
arXiv:2610.32324v1 Announce Type: new Abstract: Reinforcement learning with verifiable rewards (RLVR) improves multimodal reasoning, but uniformly assigning a single response-level advantage to all tokens overlooks the d…
- arXiv cs.AIresearchFOCUS: A Lightweight Mamba-2 Model for EEG-Based Cognitive Workload Classification
arXiv:2610.32361v1 Announce Type: new Abstract: Cognitive workload estimation from physiological signals is increasingly relevant in high-risk environments, where continuous and unobtrusive monitoring can inform adaptive…
- arXiv cs.AIresearchWhen to Stop Penalizing Actions? Martingale GRPO for VLA Reinforcement Learning
arXiv:2610.32431v1 Announce Type: new Abstract: A failed vision-language-action (VLA) rollout does not imply that every action contributed to failure. Yet in group-relative policy optimization (GRPO), a single trajectory…
- arXiv cs.AIresearchALLMTS: Automated LLM-based Medical Triage System
arXiv:2610.32469v1 Announce Type: new Abstract: Telephone triage is a safety critical task: from a brief intake note, a nurse must decide whether a caller needs an ambulance, an emergency department, an appointment, or s…
- arXiv cs.AIresearchBeyond Post-Hoc Rewards: Privileged Reasoning Exploration for Multimodal Embeddings
arXiv:2610.32474v1 Announce Type: new Abstract: Advances in Multimodal Large Language Models (MLLMs) have driven substantial progress in multimodal embeddings. Recent methods exploit generative capabilities by augmenting…
- arXiv cs.AIresearchCASE: Confusion-Aware Skill Evolution for Frozen Multimodal Emotion Models
arXiv:2610.32481v1 Announce Type: new Abstract: Multimodal large language models (MLLMs) have substantially advanced Multimodal Emotion Recognition (MER) by enabling fine-grained emotion understanding through reasoning o…
- arXiv cs.AIresearchBeyond Channel Data: Configuration-Enriched Radio Foundation Models
arXiv:2610.32542v1 Announce Type: new Abstract: This paper proposes incorporating channel configuration (CFG) information into Radio Foundation Model (RFM) pre-training and demonstrates that the resulting CFG-enriched em…