AI news archive.
10,659 articles filed under Research, newest first, from the outlets listed on the sources page.
- LessWrongresearchReverse Jaggedness and Universal Ajaggedness
Epistemic status: I came up with this an hour ago, this is a fun light-hearted post where I'm enjoying illustrating this idea, which seems true for the most part. [ Crosspost ed from my blog, BlueprintingHeaven .] When i…
- AI BusinessresearchPhysical AI moves beyond traditional robotics
Physical AI is moving beyond traditional robotics into real enterprise tasks, but enterprises still face big challenges integrating and scaling robotic systems.
- Import AIresearchImport AI 475: Swarm scaling; Google DeepMind watermarks biology; and the AI science economy
Who chooses what AI gets to do?
- IEEE Spectrum AIresearchAI Solves a Major Unsolved Math Problem. Not Everyone Is Happy
On 13 September, leading luminaries and up-and-coming talents in mathematics and computer science congregated at the annual Heidelberg Laureate Forum in Germany for a week of discussion, networking, and—naturally—wurst.…
- The DecoderresearchAI is eroding office hours, study groups, and the trust between faculty and students, MIT report finds
An MIT expert committee warns that AI is eroding key parts of the college experience: office hours, study groups, and the school's flagship research program for undergraduates are all fading. Trust between faculty and st…
- AI Stack ExchangeresearchWhich machine learning algorithm is best for classifying objects scanned with a 2D laser scanner?
We are using 2D Laser Scanner to scan various objects of different geometric shapes for e.g. cylinder, spiked, cylinder with notch, cylinder with curved edges, etc. The dataset contains points in the format [x, y] with t…
- AI Stack ExchangeresearchHow can an ensemble be more accurate than the best base classifier in that ensemble?
BACKGROUND: Ensemble classifiers are said to reduce bias by taking an "average" of predictions of several base classifiers that comprise the ensemble. However, I am uncertain if this necessarily means that they can incre…
- arXiv cs.AIresearchMintFlow: Minimal Trajectory Intervention for Constrained Flow Matching
arXiv:2610.02260v2 Announce Type: replace Abstract: Flow matching models excel at generative modeling, and many downstream applications require their samples to satisfy prescribed constraints, such as observed measuremen…
- arXiv cs.AIresearchThe AI Risk Observatory: What Can We Learn from AI Disclosures in Annual Reports About Societal Resilience?
arXiv:2610.02281v2 Announce Type: replace Abstract: Societal resilience research relies on access to useful and actionable data, which motivates our main research question: Can annual reports, processed at scale with LLM…
- arXiv cs.AIresearchKeep It CALM: Analyzing the Limits of Global Unsafety in Text-to-Image Generation
arXiv:2610.02300v1 Announce Type: new Abstract: Training-free safeguards for text-to-image generation often rely on a reusable safety signal, such as an unsafe direction or global toxic subspace, applied broadly across p…
- arXiv cs.AIresearchWorld Editing: Intervening on Executable Worlds at Increasing Depth
arXiv:2610.02331v1 Announce Type: new Abstract: Interactive world models are increasingly capable of generating environments and acting within them, yet deliberately editing an existing executable world remains underexpl…
- arXiv cs.AIresearchA Multi Method Importance and Performance Efficiency Analysis of Topological Metrics for Natural Visibility Graph Based Cyber Attack Detection
arXiv:2610.02342v1 Announce Type: new Abstract: Natural Visibility Graph (NVG) based analysis characterizes network traffic through topological descriptors reflecting different structural properties. However, not all des…
- arXiv cs.AIresearchTraversing the Satisfaction-Diversity Frontier in Text-to-Image Diffusion
arXiv:2610.02372v1 Announce Type: new Abstract: Text-to-image generation enables users to explore several images generated from the same prompt. For these generated images to be useful, each one must reflect the user's p…
- arXiv cs.AIresearchTHPL: A Vision-to-Language Decision Support Framework for Rainbow Trout Feeding Management in RAS
arXiv:2610.02378v1 Announce Type: new Abstract: In Recirculating Aquaculture Systems (RAS), precision feeding is critical for minimizing costs and improving fish welfare. However, existing methods lack cognitive alignmen…
- arXiv cs.AIresearchFlashSinkhorn 2: Block-Sparse Entropic Optimal Transport
arXiv:2610.02395v1 Announce Type: new Abstract: Streaming GPU solvers for entropic optimal transport (EOT), such as FlashSinkhorn, avoid storing the dense kernel but still evaluate all $n\times m$ point pairs in every Si…
- arXiv cs.AIresearchReinforcement Learning Techniques for the Optimization of Target Polarization in Nuclear Physics Scattering Experiments
arXiv:2610.02452v1 Announce Type: new Abstract: The operation of dynamically polarized targets in nuclear physics experiments relies on continuous tuning of the microwave frequency to compensate for radiation damage and…
- arXiv cs.AIresearchTropical Reinforcement Learning
arXiv:2610.02478v1 Announce Type: new Abstract: Reinforcement learning for large language models typically maximizes expected return, adding up the probabilities of all successful trajectories. However, the classical sum…
- arXiv cs.AIresearchRight Order, Wrong Scale: Auditing LLM Judges for Occupational AI Measurement
arXiv:2610.02492v1 Announce Type: new Abstract: LLM judges are increasingly used to assess whether AI outputs meet workplace requirements, but agreement on response rankings does not establish agreement on acceptance rat…
- arXiv cs.AIresearch"I just assumed that it would translate": examining MT risk awareness among healthcare staff with abbreviations as a use case
arXiv:2610.02496v1 Announce Type: new Abstract: In the UK, public healthcare staff report turning to machine translation (MT) - predominantly Google Translate (GT) - to communicate with patients across language barriers.…
- arXiv cs.AIresearchHXAI: Hierarchical Privacy-Preserving Explainable AI in Distributed Energy Systems
arXiv:2610.02504v1 Announce Type: new Abstract: Balancing electricity demand and supply is increasingly difficult due to the inherent intermittency of renewable power generation and the stochastic power consumption. Grid…
- arXiv cs.AIresearchWorld Action Modeling with Progressive Visual Planning
arXiv:2610.02508v1 Announce Type: new Abstract: World action models (WAMs) have emerged as a promising paradigm for robotic control by jointly predicting future visual dynamics and actions from an initial observation and…
- arXiv cs.AIresearchOn-Premises Multi-Course RAG Tutoring for Business Education: Hardware-Software Trade-offs in a Campus AI Tutor
arXiv:2610.02510v1 Announce Type: new Abstract: Campus AI tutors based on retrieval-augmented generation (RAG) must ground answers in assigned course materials while keeping textbooks and student dialogue on institutiona…
- arXiv cs.AIresearchHypothesis-guided discovery of cognitive algorithms via program refinement
arXiv:2610.02523v1 Announce Type: new Abstract: Developing cognitive models of algorithmic reasoning from behavioral data is a central problem in cognitive science that challenges current methods. Traditional approaches…
- arXiv cs.AIresearchHow to Have a Sensitive Debate: An Instance-Optimal Protocol for AI Debate
arXiv:2610.02557v1 Announce Type: new Abstract: As powerful AI systems reach and sometimes surpass the abilities of human experts across a range of cognitively demanding tasks, the problem of accurate oversight and super…
- arXiv cs.AIresearchMitigating Social Sycophancy via Pluralistic Preference Optimization
arXiv:2610.02568v2 Announce Type: replace Abstract: Personal advice, including relationship advice, now ranks among the most common uses of generative AI. But language models (LMs) exhibit sycophancy: they affirm users m…
- arXiv cs.AIresearchAnswering clinicians' questions over trial evidence tables with verifiable, feedback-driven language models
arXiv:2610.02576v1 Announce Type: new Abstract: Systematic reviews condense clinical trials into evidence tables, yet clinicians can interrogate these tables only through database queries, and many questions concern attr…
- arXiv cs.AIresearchLabels Override Definitions in Jev-Style Typed Decision Models
arXiv:2610.02586v1 Announce Type: new Abstract: A typed decision model answers a fixed question about an input by returning a probability for each of several caller-defined options. Each option carries a short label and…
- arXiv cs.AIresearchTasteBench: Multimodal Benchmark for Sensory Prediction, from Molecules to Sustainable Foods
arXiv:2610.02599v1 Announce Type: new Abstract: Sustainable protein discovery lacks the fast computational proxies, analogous to molecular docking or density functional theory, that accelerate drug and materials discover…
- arXiv cs.AIresearchTime Series Forecasting Benchmarks Need Scenario-Grounded Stress Testing
arXiv:2610.02608v1 Announce Type: new Abstract: Time series forecasting (TSF) increasingly drives decisions in transportation, energy, finance, healthcare, and infrastructure, yet current evaluation remains overly narrow…
- arXiv cs.AIresearchCuBEs: Culturally-Situated Behavioral Evaluations and the Limitations of Culture-Blind LLM Judges
arXiv:2610.02622v1 Announce Type: new Abstract: Evaluating the occurrence and triggers of large language model (LLM) behaviors - such as sycophancy, self-preference, or over-confidence - is critical for predicting real-w…
- arXiv cs.AIresearchDesigning the Future of User Feedback for Generative AI
arXiv:2610.02631v1 Announce Type: new Abstract: Post-deployment feedback from users can be a cost-effective, scalable, and representative means to monitor and improve generative AI systems and features. When implemented…
- arXiv cs.AIresearchSpend Teacher Tokens Where They Matter: Success-Referenced On-Policy Distillation
arXiv:2610.02678v1 Announce Type: new Abstract: On-policy distillation (OPD) combines student-generated rollouts with dense token-level supervision from a teacher, but providing such supervision for every rollout require…
- arXiv cs.AIresearchDataWeave: Deploying Human-LLM Analytics for Exploratory Structured Data Analysis
arXiv:2610.02679v1 Announce Type: new Abstract: Data journalism, the practice of using data analysis to surface newsworthy stories, depends increasingly on the ability of reporters and investigative journalists to uncove…
- arXiv cs.AIresearchLarge language models exhibit unreliable updating of clinical judgment as patient evidence evolves
arXiv:2610.02684v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly explored for clinical reasoning, but whether they appropriately revise judgments as patient evidence evolves remains unclear.…
- arXiv cs.AIresearchLearning to Revise Reasoning with Segment-wise On-Policy Distillation
arXiv:2610.02703v1 Announce Type: new Abstract: On-policy distillation (OPD) improves large language model reasoning by training students on their own rollouts with dense token-wise supervision from the teacher. However,…
- arXiv cs.AIresearchLabel-Efficient Time Series Classification at Scale: A Dual-Stream OSSE-LSTM with Counterfactual Attribution
arXiv:2610.02704v1 Announce Type: new Abstract: Time series are produced continuously at enormous scale by industrial equipment, wearables, power grids, and clinical monitors, yet annotation remains manual, expensive, an…
- arXiv cs.AIresearchOn the Chain-of-Thought Monitorability of Looped Language Models
arXiv:2610.02741v1 Announce Type: new Abstract: Chain-of-thought (CoT) monitoring provides a promising approach for detecting undesirable model behavior. Looped language models (LoopLMs) repeatedly apply shared transform…
- arXiv cs.AIresearchDynamic LLM Routers are Often Misguided
arXiv:2610.02762v1 Announce Type: new Abstract: Dynamic LLM routers promise to cut inference costs by sending each query to the cheapest model that can answer it correctly. We analyze six commercial routers across 14 set…
- arXiv cs.AIresearchLaw And Order: Tax Law Autoformalization
arXiv:2610.02792v1 Announce Type: new Abstract: Legal systems are increasingly implemented through software, yet scalable methods for translating legal texts into accurate symbolic representations remain underdeveloped.…
- arXiv cs.AIresearchPAPER2LLM++: Continual Self-Evolution of LLMs from Research Papers
arXiv:2610.02793v2 Announce Type: replace Abstract: Research on LLMs continually uncovers model limitations, their causes, and potential solutions. Yet these human discoveries remain largely disconnected from model evolu…
- arXiv cs.AIresearchModeling Shared and Individual Structure for Cross-Subject Continuous Affect Regression from EEG-fNIRS
arXiv:2610.02796v1 Announce Type: new Abstract: Continuous, second-by-second valence-arousal estimation from physiological signals is typically studied in a subject-dependent setting, where the model sees labeled data fr…
- arXiv cs.AIresearchBitNest: Bit-Nested Speculative Decoding for Memory-Efficient LLM Inference Acceleration
arXiv:2610.02800v2 Announce Type: replace Abstract: Speculative decoding accelerates autoregressive generation by using a lightweight draft to propose multiple tokens for parallel verification. However, existing methods…
- arXiv cs.AIresearchVIGOR: Zero-Shot Visual Generalization via Latent-Space Consistency in Model-Based Reinforcement Learning
arXiv:2610.02801v1 Announce Type: new Abstract: Model-based reinforcement learning (MBRL) achieves strong sample efficiency by planning within learned latent dynamics, yet its performance degrades substantially under uns…
- arXiv cs.AIresearchROUTEAUDIT: Interaction-Aware Identification for Budgeted Multi-Verifier Routing
arXiv:2610.02808v2 Announce Type: replace Abstract: Adaptive multi-verifier systems are commonly compared through endpoint quality-cost gaps, even when the verifier catalog, availability, accounting, information filtrati…
- arXiv cs.AIresearchiS-KV: Online Low-Rank KV Cache Compression via Block-Incremental SVD
arXiv:2610.02815v1 Announce Type: new Abstract: Long chain-of-thought reasoning substantially increases KV-cache memory during autoregressive decoding, as every generated token introduces new key and value states and cau…
- arXiv cs.AIresearchMetaRubric: Learning to Reward for Rubric-Based Reinforcement Learning
arXiv:2610.02824v1 Announce Type: new Abstract: Rubric-based reinforcement learning extends reward-driven optimization to open-ended tasks by assigning partial credit to individual response requirements. However, rubric…
- arXiv cs.AIresearchScaling Trajectories for Complex Tasks through Recursive Self-Rewrite
arXiv:2610.02826v1 Announce Type: new Abstract: Successful trajectories on difficult tasks provide valuable supervision for model improvement, but specialized harnesses introduce interventions that may be unavailable dur…
- arXiv cs.AIresearchMLCommons Jailbreak Benchmark v1.0
arXiv:2610.02827v1 Announce Type: new Abstract: Modern AI systems are designed to refuse hazardous requests. A jailbreak is a prompt crafted to bypass those safeguards and elicit outputs that the system would normally re…
- arXiv cs.AIresearchFSPO: Policy-Consistent Risk and Pareto-Feasible Control for Budgeted LLM RL Post-Training
arXiv:2610.02828v2 Announce Type: replace Abstract: Adaptive LLM reinforcement-learning post-training changes multiple training actuators online, including rollout temperature, group size, clipping, KL regularization, ve…
- arXiv cs.AIresearchAMBER: Multi-View Adaptive Budget Allocation for Listwise Vision-Language Reranking
arXiv:2610.02831v1 Announce Type: new Abstract: Vision-language models (VLMs) are powerful listwise rerankers for multimodal retrieval, but high inference costs restrict them to evaluating small local candidate views. Ex…