AI news archive.
19,864 articles, newest first, from the outlets listed on the sources page.
- arXiv cs.AIagentsMind the Accent Gap: British Accent Robustness in Speech-Driven Financial Voice Assistants
arXiv:2610.06587v1 Announce Type: cross Abstract: AI voice assistants often use Automatic Speech Recognition (ASR) with LLM-based reasoning, yet existing systems struggle with regional British accents, including Scottish…
- arXiv cs.AIresearchSimForcing: Distilling Simulation Motion Priors into Real-Domain Robot World Models
arXiv:2610.06598v1 Announce Type: cross Abstract: Action-conditioned robot world models must respond precisely to robot trajectories while preserving realistic visual dynamics, yet learning both from heterogeneous robot…
- arXiv cs.AIagentsWord-Level Text Unmixing via Evidence-Preserving Ownership Routing with Language Models
arXiv:2610.06603v1 Announce Type: cross Abstract: Text from multiple sources can become interleaved into a single sequence when attribution metadata is lost, such as overlapping speech transcripts, document reading flows…
- arXiv cs.AIresearchFrozen Factor or Spectral Band? Disentangling Two Choices in Low-Rank LoRA
arXiv:2610.06621v1 Announce Type: cross Abstract: Spectral variants of low-rank adaptation (LoRA) choose both a subspace and which factor to freeze. We separate these choices by freezing the input factor A or output fact…
- arXiv cs.AIagentsLarge Language Model-Guided Discovery of Weight-Five Bivariate Bicycle Codes
arXiv:2610.06623v1 Announce Type: cross Abstract: Building on our earlier program-evolution workflow guided by large language models (LLMs), we study weight-five bivariate bicycle (BB) and perturbed bivariate bicycle (PB…
- arXiv cs.AIresearchDifferentially Private Mixing of Public Datasets Improves Private Learning
arXiv:2610.06636v1 Announce Type: cross Abstract: Many machine learning applications involve sensitive data and therefore require training under differential privacy (DP). However, DP training often degrades model utilit…
- arXiv cs.AIresearchAffordCraft: Scalable Construction of Task-Ready Simulation Assets from Single Images
arXiv:2610.06643v1 Announce Type: cross Abstract: Robot learning in simulation depends on the objects the simulator offers. Many tasks need objects with separate parts, joints that allow the required motion, and physical…
- arXiv cs.AIagentsVideoTapestry: Query-Adaptive Memory Refinement for Multi-Agent Long-Video Understanding
arXiv:2610.06672v1 Announce Type: cross Abstract: Long-video understanding places substantial demands on memory, as answering questions often requires retrieving information distributed across extended temporal spans. Ex…
- arXiv cs.AIresearchClosing the Context Gap: Activation Alignment for Tabular In-Context Learning
arXiv:2610.06679v1 Announce Type: cross Abstract: Tabular foundation models perform in-context learning (ICL) by conditioning predictions on labeled training examples provided as context. Unlike traditional models that s…
- arXiv cs.AIresearchBRANCH-MoE: Balance-Aware Tree Routing for Large Embedding Models
arXiv:2610.06725v1 Announce Type: cross Abstract: Mixture-of-experts (MoE) layers increase model capacity without a proportional increase in per-example computation. However, conventional flat routers can yield imbalance…
- arXiv cs.AIagentsBazaarBench: Delegation Safety in Decentralized C2C Marketplaces Run by LLM Agents
arXiv:2610.06748v1 Announce Type: cross Abstract: In decentralized consumer-to-consumer (C2C) marketplaces, people list goods, negotiate with strangers, and rate one another, so trust rests on reputation. Large language…
- arXiv cs.AIresearchBalancing Memory Pathways: Analyzing and Improving Memory Utilization in Hybrid LMs
arXiv:2610.06750v1 Announce Type: cross Abstract: Recurrent-attention hybrid language models (LMs), which interleave attention and recurrent layers, are increasingly used to combine the efficiency of the recurrent layers…
- arXiv cs.AIresearchMatrixFormer: A Foundation Model for Matrix Completion
arXiv:2610.06751v1 Announce Type: cross Abstract: Matrix completion underlies problems from tabular imputation to causal inference, yet existing tabular foundation models treat it as entry-by-entry prediction, repeating…
- arXiv cs.AIresearchIdeaLens: Detecting AI Ideas in Long-form Writing
arXiv:2610.06778v1 Announce Type: cross Abstract: While modern AI detectors identify who wrote the words, emerging policies on AI use increasingly hinge on a different question: who came up with the ideas? We introduce I…
- arXiv cs.AIresearchMC-Sparse: Deconstructing and Closing the Dense-Sparse Attention Gap in Diffusion Transformers
arXiv:2610.06801v1 Announce Type: cross Abstract: Sparse attention is a primary approach to reducing the latency of diffusion transformers in long-sequence generation tasks, such as video and high-resolution 3D asset gen…
- arXiv cs.AIresearchSharpen Without Search: On-Policy Distillation of Sequence-Level Power Distribution
arXiv:2610.06804v1 Announce Type: cross Abstract: A language model can give a correct answer more probability than any single incorrect answer and still usually sample an incorrect one, because the incorrect answers toge…
- arXiv cs.AIresearchTAPDreamer: Transferable Adversarial Patches for World Action Models
arXiv:2610.06814v3 Announce Type: replace-cross Abstract: World models learn to predict how their environment will evolve, making them an important foundation for general-purpose robotic control. Yet world action models…
- arXiv cs.AIresearchParadee: Distilling Kokoro-82M into an 8M-Parameter Single-Voice Text-to-Speech Model
arXiv:2610.06817v1 Announce Type: cross Abstract: We distill Kokoro-82M, a widely used open text-to-speech model with 54 voices, into Paradee, an 8.07M-parameter model that speaks one of them. Paradee keeps Kokoro's arch…
- arXiv cs.AIresearchDeep Learning for Sleep Heart Rate Estimation from Accelerometers: Toward Population-Scale Cardiac Insight Without Optical Sensors
arXiv:2610.06823v1 Announce Type: cross Abstract: Large longitudinal cohorts often contain wrist accelerometry without optical heart-rate sensing, motivating recovery of cardiac information from motion signals already co…
- arXiv cs.AIagentsCLIFT: Conformal Self-Verification for Web Agent Training and Test-Time Scaling
arXiv:2610.06829v1 Announce Type: cross Abstract: Open-source web agents are now strong enough to execute realistic browser tasks, but training them with reinforcement learning still depends on weak supervision: binary t…
- arXiv cs.AIagentsMemPilot: Orchestrating On-Demand Multimodal Memory Curation for LLM Agents
arXiv:2610.06830v1 Announce Type: cross Abstract: Memory has become integral to the LLM agent ecosystem, supporting information retention and reuse across interactions. However, most existing agent memory systems constru…
- arXiv cs.AIresearchUniSlider: Perceptually Uniform Sliders for Continuous Image Editing
arXiv:2610.06831v1 Announce Type: cross Abstract: Sliders provide an intuitive interface for continuous image editing. In current generative approaches, however, the slider is simply a rescaling of the method's strength…
- arXiv cs.AIagentsRecursive Video In-Context Learning for Agentic Robot
arXiv:2610.06843v1 Announce Type: cross Abstract: LLM agents that orchestrate frozen vision-language-action (VLA) policies improve across episodes through text memory, which records what the agent did but not how the tas…
- arXiv cs.AIresearchLearning to Read the Contextual Tokens in Diffusion Transformers
arXiv:2610.06844v1 Announce Type: cross Abstract: Multimodal Diffusion Transformers (MM-DiTs) jointly process visual and textual representations throughout generation. These models repeatedly update the text tokens throu…
- arXiv cs.AIresearchBase Models Can Reason By Taking a Cue From Training Data
arXiv:2610.06851v1 Announce Type: cross Abstract: In this paper, we study how training data creates associations between the tokens at the start of a base model's response and the reasoning behavior that follows. First,…
- arXiv cs.AIagentsOne Figure, Every Canvas: Editable Flowchart Relayout via Agentic Pipeline
arXiv:2610.06852v1 Announce Type: cross Abstract: Pipeline figures in ML papers must be repurposed across many canvases, including paper columns, 16:9 slides, portrait posters, 1:1 social teasers, 9:16 phone previews. Ea…
- arXiv cs.AIresearchGFPack++: Attention-Driven Gradient Fields for Optimizing 2D Irregular Packing
arXiv:2406.07579v2 Announce Type: replace Abstract: 2D irregular packing is a classic combinatorial optimization problem with various applications, such as material utilization and texture atlas generation. Due to its NP…
- arXiv cs.AIresearchAnswer Set Networks: Casting Answer Set Programming into Deep Learning
arXiv:2412.14814v2 Announce Type: replace Abstract: Although Answer Set Programming (ASP) allows constraining neural-symbolic (NeSy) systems, its employment is hindered by the prohibitive costs of computing stable models…
- arXiv cs.AIagentsTowards LLM Agents for Earth Observation
arXiv:2504.12110v3 Announce Type: replace Abstract: Earth Observation (EO) provides critical planetary data for environmental monitoring, disaster management, climate science, and other scientific domains. In this work w…
- arXiv cs.AIagentsOpenPhone: Mobile Agentic Foundation Models
arXiv:2510.22009v3 Announce Type: replace Abstract: With the advancement of multimodal large language models (MLLMs), building GUI agent systems has become an increasingly promising direction--especially for mobile platf…
- arXiv cs.AIresearchPaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic
arXiv:2511.20586v5 Announce Type: replace Abstract: Trustworthiness has become a key requirement for deploying artificial intelligence in safety-critical applications, yet conventional metrics such as accuracy fail to ca…
- arXiv cs.AIresearchNeutral Substrates: A Design Constraint for Shared Records Under Persistent Interpretive Disagreement
arXiv:2601.14271v4 Announce Type: replace Abstract: Shared accountability records must often remain useful to parties who disagree about causation, responsibility, and normative interpretation. Suppressing these claims w…
- arXiv cs.AIagentsWhen Is Enough Not Enough? Illusory Completion in Search Agents
arXiv:2602.07549v3 Announce Type: replace Abstract: In agentic search, an LLM agent searches the web, reads the pages it finds, and decides what to look for next before returning an answer. But can we trust an answer sim…
- arXiv cs.AIresearchAI Mental Models: Learned Intuition and Deliberation in a Bounded Neural Architecture
arXiv:2603.22561v2 Announce Type: replace Abstract: This paper asks whether a bounded neural architecture can exhibit a meaningful division of labor between intuition and deliberation on a classic 64-item syllogistic rea…
- arXiv cs.AIresearchReLope: From Hidden-State Probing to a Decision Module for Multimodal LLM Routing
arXiv:2603.24787v3 Announce Type: replace Abstract: Routing balances performance and cost in hybrid systems by escalating selected queries from a lightweight model to a powerful but expensive one. Hidden-state probes pro…
- arXiv cs.AIresearchThe Ultimate Tutorial for AI-driven Scale Development in Generative Psychometrics: Releasing AIGENIE from its Bottle
arXiv:2603.28643v2 Announce Type: replace Abstract: Psychological scale development has traditionally required extensive expert involvement, iterative revision, and large-scale pilot testing before psychometric evaluatio…
- arXiv cs.AIresearchAI Assistance Reduces Persistence and Hurts Independent Performance
arXiv:2604.04721v5 Announce Type: replace Abstract: People often optimize for long-term goals in collaboration: A mentor or companion doesn't just answer questions, but also scaffolds learning, tracks progress, and prior…
- arXiv cs.AIresearchHigh-Precision Estimation of the State-Space Complexity of Shogi via the Monte Carlo Method
arXiv:2604.06189v2 Announce Type: replace Abstract: Determining the state-space complexity of Shogi (Japanese Chess) has been a challenging problem, with previous combinatorial estimates leaving a gap of five orders of m…
- arXiv cs.AIagentsDERM-3R: A Resource-Efficient Multimodal Agents Framework for Dermatologic Diagnosis and Treatment in Real-World Clinical Settings
arXiv:2604.09596v2 Announce Type: replace Abstract: Skin diseases impose a substantial and growing global health burden. Modern dermatologic therapies control acute manifestations rapidly, but single-target treatment par…
- arXiv cs.AIresearchRetrieval-Augmented Generation Must Move Beyond Factual Grounding to Represent Diverse Opinions
arXiv:2604.12138v5 Announce Type: replace Abstract: Retrieval-Augmented Generation (RAG) systems are built on an unexamined assumption - that queries have correct answers and retrieval should converge toward them. This p…
- arXiv cs.AIagentsFrom Tool to Agent: How Worker Needs Reorganize Across the Agentic Roles of Workplace AI
arXiv:2605.03078v2 Announce Type: replace Abstract: As AI systems gain agency in workplaces, workers increasingly interact with systems that do more than support tasks: they make decisions, allocate work, and shape how w…
- arXiv cs.AIagentsEnvSimBench: A Benchmark for Evaluating and Improving LLM-Based Environment Simulation
arXiv:2605.07247v2 Announce Type: replace Abstract: Scalable AI agents training relies on interactive environments that faithfully simulate the consequences of agent actions. Manually crafted environments are expensive t…
- arXiv cs.AIagentsAgentic AI Scientists Are Not Built For Autonomous Scientific Discovery
arXiv:2605.08956v2 Announce Type: replace Abstract: A growing body of work pursues AI scientists capable of end-to-end autonomous scientific discovery. This position paper argues that although they already function as co…
- arXiv cs.AIagentsPiCA: Pivot-Based Credit Assignment for Search Agentic Reinforcement Learning
arXiv:2605.09287v3 Announce Type: replace Abstract: Large Language Model (LLM)-based search agents trained with reinforcement learning (RL) have significantly improved the performance of knowledge-intensive tasks. Howeve…
- arXiv cs.AIagentsMAGE: Multi-Agent Self-Evolution with Co-Evolutionary Knowledge Graphs
arXiv:2605.10064v3 Announce Type: replace Abstract: Self-evolving language-model agents must decide what to learn next and how to preserve what they have learned across iterations. Existing systems typically carry this c…
- arXiv cs.AIagentsAn Agentic AI Framework with Large Language Models and Chain-of-Thought for UAV-Assisted Logistics Scheduling with Mobile Edge Computing
arXiv:2605.13221v3 Announce Type: replace Abstract: In cloud manufacturing, unmanned aerial vehicles (UAVs) can support both product collection and mobile edge computing (MEC). This joint operation forms a hybrid schedul…
- arXiv cs.AIresearchInference-Time Amplification of Weak Reasoning Models
arXiv:2605.14163v2 Announce Type: replace Abstract: How much of the capability of a reasoning model exposed by repeated sampling can an imperfect selector recover? We study this problem as {\em inference-time amplificati…
- arXiv cs.AIresearchGrounded Continuation: A Linear-Time Runtime Verifier for LLM Conversations
arXiv:2605.14175v3 Announce Type: replace Abstract: In a long conversation, an LLM may produce a fluent continuation that rests on premises the conversation has already abandoned. Context-manipulation attacks exploit pre…
- arXiv cs.AIresearchFrom Table to Cell: Attention for Better Reasoning with TABALIGN
arXiv:2605.14465v2 Announce Type: replace Abstract: Multi-step LLM reasoning over structured tables fails because planning and execution share no explicit cell-grounding contract. Existing methods constrain the planner t…
- arXiv cs.AIresearchNudging Beyond the Comfort Zone: Efficient Strategy-Guided Exploration for RLVR
arXiv:2605.15726v2 Announce Type: replace Abstract: Reinforcement learning with verifiable rewards (RLVR) is a scalable paradigm for improving the mathematical reasoning of large language models, but it is fundamentally…