AI news archive.
10,659 articles filed under Research, newest first, from the outlets listed on the sources page.
- arXiv cs.AIresearchLearned Readout Tokens for Extracting Large Language Model Confidence
arXiv:2610.27566v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly used within everyday applications where their responses have significant downstream impacts. For responsible deployment of s…
- arXiv cs.AIresearchAudiPsy: Evidence-Grounded Multimodal Reasoning over Spoken Counseling Conversations for Depression Assessment
arXiv:2610.27567v1 Announce Type: cross Abstract: Depression assessment from counseling speech requires integrating textual and acoustic psychological evidence across turns, yet existing end-to-end classification approac…
- arXiv cs.AIresearchTRCM: Topology-Aware Route-Consistency Modeling for Robust Neural Vehicle Routing
arXiv:2610.27568v1 Announce Type: cross Abstract: Neural combinatorial optimization has enabled fast constructive solvers for the Capacitated Vehicle Routing Problem (CVRP), yet most autoregressive models still construct…
- arXiv cs.AIresearchFactual Access States in Diffusion Language Models: From Mechanism to Knowledge Editing and Retrieval
arXiv:2610.27580v1 Announce Type: cross Abstract: Factual recall is a lookup: some representation inside the network serves as the key, and what that key is made of decides which queries can retrieve the fact, what an ed…
- arXiv cs.AIresearchBenefit and Cost of Random-Token Replacement under Repeated Data: A Known-Entropy Decomposition and Evidence from Ten Real Corpora
arXiv:2610.27590v1 Announce Type: cross Abstract: When unique pretraining data is scarce, models see the same tokens many times and are thought to memorize. Random-token replacement, an input-corruption augmentation, is…
- arXiv cs.AIresearchABench: Adversarily Benchmarking Large Language Models across Taxonomized Values
arXiv:2610.27611v1 Announce Type: cross Abstract: Ensuring the alignment of Large Language Models (LLMs) with diverse cultural values is critical for their safe global deployment. However, existing alignment benchmarks a…
- arXiv cs.AIresearchLearning Inter-Graph Interactions Between Heterogeneous Substructures of Chemical Systems
arXiv:2610.27614v1 Announce Type: cross Abstract: Complex chemical systems containing heterogeneous substructures are common in real-world applications. Various physical phenomena of the complex chemical systems are deri…
- arXiv cs.AIresearchA Head Camera Is (Almost) All You Need: An Electronics-Free UMI Glove Labelled and Observed by One Moving Camera
arXiv:2610.27622v1 Announce Type: cross Abstract: Handheld demonstration devices decouple data collection from the robot, but conventional designs burden the hand with a wrist camera, cables and a pose tracker (SLAM, an…
- arXiv cs.AIresearchBCT: Bayes-Consistent Tempering for Flow Language Models
arXiv:2610.27641v1 Announce Type: cross Abstract: Temperature scaling is typically applied as a post-hoc transformation of model probabilities. In posterior-induced flow language models, this creates two mismatches. Firs…
- arXiv cs.AIresearchCorpus Quality Improves, Retrieval Utility Does Not: An Ablation of Preprocessing and Refinement in a Speech-to-QA Pipeline
arXiv:2610.27652v1 Announce Type: cross Abstract: Practitioners building training corpora with a pipeline of language models keep a preprocessing or refinement (post-process) stage when switching it on raises the corpus…
- arXiv cs.AIresearchA Unified Attack Framework against Statistical Generative Watermarks for Large Language Models
arXiv:2610.27653v2 Announce Type: replace-cross Abstract: Watermarking has emerged as a key tool for identifying text generated by large language models (LLMs), with current schemes embedding statistical signals into the…
- arXiv cs.AIresearchPairwise Learning Increases Data Efficiency in Deep Neural Networks
arXiv:2610.27669v1 Announce Type: cross Abstract: Deep neural networks often fail at small-sample regression, collapsing to low-variance predictions that miss individual differences. Here, we introduce a pairwise compari…
- arXiv cs.AIresearchVLA-Retain: Benchmarking Cross-Dimension Effects of Vision Tuning in VLAs
arXiv:2610.27698v1 Announce Type: cross Abstract: Vision-language-action (VLA) models transfer knowledge from large-scale pretraining into robot control, but their manipulation performance remains sensitive to changes in…
- arXiv cs.AIresearchBeyond Calibration: Temporal LLM Confidence Assessment Across Languages and Local Settings
arXiv:2610.27702v1 Announce Type: cross Abstract: Large language models are expected to estimate their own uncertainty, with confidence signals used to guide retrieval, adaptive compute allocation, routing, and selective…
- arXiv cs.AIresearchRLSplat: Resource-Linear Budget Control for Feed-forward 3D Gaussian Splatting
arXiv:2610.27712v2 Announce Type: replace-cross Abstract: Feed-forward 3D Gaussian Splatting (FF3DGS) reconstructs 3D scenes from images in a single forward pass, making it well-suited to applications that must operate w…
- arXiv cs.AIresearchWorld2HOSI: A Multi-Expert Harness for Long-Horizon Human-Object-Scene Interaction Generation
arXiv:2610.27725v1 Announce Type: cross Abstract: Long-horizon human-object-scene interaction (HOSI) is central to embodied AI, animation, and game development. Existing human-object interaction (HOI) and human-scene int…
- arXiv cs.AIresearchAnytime-Valid Runtime Monitoring of Learned Barrier Certificates
arXiv:2610.27726v1 Announce Type: cross Abstract: Learned barrier certificates provide a principled mechanism for establishing safety of stochastic systems, but their validity may deteriorate during deployment when the u…
- arXiv cs.AIresearchHow Much Do $\ell_1$ Attacks Need Concentrated Perturbations?
arXiv:2610.27773v1 Announce Type: cross Abstract: A global $\ell_1$ budget limits how much an adversary may change an image, not how that change is distributed. We ask how much of an $\ell_1$ attack's observed success re…
- arXiv cs.AIresearchRadar-Based 3D Human Pose Estimation via Motion-Aware Pose Initialization and Observation-Guided Refinement
arXiv:2610.27774v1 Announce Type: cross Abstract: 3D Human Pose Estimation (3D HPE) is used in indoor environments, such as smart homes, to analyze human movement and monitor human states. Millimeter-wave (mmWave) radar…
- arXiv cs.AIresearchSLM-SS: Token-Based Speech Separation with Speech Language Models
arXiv:2610.27785v1 Announce Type: cross Abstract: Speech separation (SS) has witnessed substantial progress in recent years with the advent of neural network-based methods, achieving notable improvements on signal-level…
- arXiv cs.AIresearchRAG-NIMBF: A Non-Invasive, Modular Benchmarking Framework for Automated RAG Configuration Analysis
arXiv:2610.27816v1 Announce Type: cross Abstract: Retrieval-Augmented Generation (RAG) has become the dominant paradigm for grounding the outputs of large language models (LLM) in external knowledge. However, practitione…
- arXiv cs.AIresearchSMART: Semantic Segment Mapping and Assessment of Recognition Transcripts with Contextual Rubrics
arXiv:2610.27820v1 Announce Type: cross Abstract: Word error rate (WER) assigns equal cost to lexical edits despite their different semantic consequences, while overall semantic scores cannot identify which individual er…
- arXiv cs.AIresearchVISH-ASR: Viterbi-Guided Selection of Hotwords for Speech-LLM Contextual ASR
arXiv:2610.27867v1 Announce Type: cross Abstract: Prompt-based contextual ASR requires selecting a compact hotword subset from large dynamic inventories, yet existing pre-selection methods rely either on discrete ASR hyp…
- arXiv cs.AIresearchHallucinations of Large Language Models in Cross-Language Code Translation: Phenomena and Mitigation
arXiv:2610.27868v1 Announce Type: cross Abstract: Code translation converts source code from one programming language to another while preserving its functionality. Although Large Language Models (LLMs) have improved cod…
- arXiv cs.AIresearchPhysical-Variable-Informed Deep Learning for Robust Diagnosis in Industrial Fluid Transport Systems
arXiv:2610.27891v1 Announce Type: cross Abstract: Industrial fluid transport systems are monitored through heterogeneous sensing streams, but robust fault diagnosis remains difficult because response signals vary with op…
- arXiv cs.AIresearchThe Shape of the DPO Hyperparameter Landscape: What to Measure, How It Moves with Scale, and When Not to Transfer It
arXiv:2610.27895v2 Announce Type: replace-cross Abstract: Direct preference optimisation (DPO) is widely used for language model post-training, but its performance depends strongly on the choice of its hyperparameters, s…
- arXiv cs.AIresearchCollabSciReM: Aligning Language Models for Scientific Conversations via Science-Aware Reward Decomposition
arXiv:2610.27901v1 Announce Type: cross Abstract: Large Language Models (LLMs) are increasingly used as research collaborators for hypothesis refinement, methodological planning, and technical analysis across multi-turn…
- arXiv cs.AIresearchPolarity Blindness in LLM Safety: A Systematic Study of Negation, Antonym Substitution, and Adversarial Framing
arXiv:2610.27908v1 Announce Type: cross Abstract: Negation remains a persistent challenge for language models across NLP tasks and modalities. We show that this weakness can undermine LLM safety guardrails through a stru…
- arXiv cs.AIresearchAPRIL: Ambiguity-Aware Expert Routing for Respiratory Sound Domain-Incremental Learning
arXiv:2610.27942v1 Announce Type: cross Abstract: Automated respiratory sound classification enables continuous, non-invasive respiratory assessment, yet long-term deployment remains challenging due to domain shifts from…
- arXiv cs.AIresearchRecast the Past: Stable Long Video Generation with Full Context Memory
arXiv:2610.27986v1 Announce Type: cross Abstract: Long-horizon video generation requires retaining an ever-expanding history, but conditioning on its growing token sequence is costly. Existing methods restrict or compres…
- arXiv cs.AIresearchLearning Tactile-Aware Hand Representations from Human Hand-Object Interaction Data
arXiv:2610.27995v1 Announce Type: cross Abstract: Tactile representation learning for dexterous manipulation often requires substantial robot-side data collection, limiting its scalability across different hands and sens…
- arXiv cs.AIresearchOn-Policy Transition Distillation
arXiv:2610.28048v1 Announce Type: cross Abstract: On-policy distillation (OPD) consolidates expert capabilities into a single student by matching teacher and student final-layer distributions on student-generated rollout…
- arXiv cs.AIresearchAssessing Representation Semantics Under Language Pretraining in Fine-Grained Classification
arXiv:2610.28051v1 Announce Type: cross Abstract: Understanding how supervision signals shape semantic visual representations remains challenging, particularly in fine-grained, low-data settings. Standard evaluations of…
- arXiv cs.AIresearchSlots Are Not Speakers: Training-Free Speaker Linking for Frozen Streaming Diarizers
arXiv:2610.28053v1 Announce Type: cross Abstract: This paper presents a causal, training-free linker that allows a frozen streaming diarizer to track more speakers than it has output slots. Streaming end-to-end diarizers…
- arXiv cs.AIresearchAuditing Where Concept Bottleneck Accuracy Comes From on CUB
arXiv:2610.28059v1 Announce Type: cross Abstract: Concept Bottleneck Models (CBMs) promise predictions that humans can inspect and correct through concepts such as "curved beak". Yet on CUB-200-2011, their standard bench…
- arXiv cs.AIresearchQuantifying the Threat: A Bayesian Probabilistic Framework for Heavy Metal Health Risks among Children in the Densu Basin, Ghana
arXiv:2610.28064v1 Announce Type: cross Abstract: Groundwater in Ghana's Densu River Basin remains a key domestic water source, but multi-metal contamination threatens children's health. Previous deterministic hazard ind…
- arXiv cs.AIresearchSame Judgment, Different Yes: Measuring Multilingual Judgment Profiles in Language Models
arXiv:2610.28066v1 Announce Type: cross Abstract: Multilingual evaluations often score a model's opening yes or no, a token that also carries model and language answering conventions. We ask when different ways of elicit…
- arXiv cs.AIresearchPULSE: Personalized Opportunistic Learning for Wearable Devices
arXiv:2610.28081v1 Announce Type: cross Abstract: Wearable devices increasingly support personalized health and well-being applications, but post-deployment data can differ substantially from those used for training, whi…
- arXiv cs.AIresearchMoDDiT: Simple Token Routing in Diffusion Transformers
arXiv:2610.28086v1 Announce Type: cross Abstract: Real-time video generation, interactive world models, and on-device image synthesis are almost a reality. Diffusion Transformers (DiT) achieve excellent sample quality, s…
- arXiv cs.AIresearchFrom Complex Histories to Simple Predictors: Predictive Dimension in Dynamic Graph Learning
arXiv:2610.28090v1 Announce Type: cross Abstract: Existing continuous-time graph learning methods rely heavily on complex neural architectures to encode ever-expanding interaction histories. However, the future condition…
- arXiv cs.AIresearchBAIT: Can LLMs Find What Biases a Reader? A Benchmark for Cognitive Bias Triggers in News
arXiv:2610.28092v1 Announce Type: cross Abstract: Persuasive writing exploits cognitive biases, recruiting a reader's mental shortcuts to shape belief, often without the reader noticing. We call the linguistic features e…
- arXiv cs.AIresearchDe-Diffusing WAMs: Action-Sufficient Direct Prediction for Robot Control
arXiv:2610.28122v1 Announce Type: cross Abstract: Cascade world-action models (WAMs) use predicted visual futures to condition robot actions, but inherit costly iterative inference from diffusion-pretrained experts. We a…
- arXiv cs.AIresearchCausal Discovery for Linear Models with Latent Confounding via Multi-domain Identifiable Representation Learning
arXiv:2610.28134v1 Announce Type: cross Abstract: Causal discovery with latent confounding is particularly challenging, but a common setting in real-world data. In this work, we focus on linear causal models with latent…
- arXiv cs.AIresearchAfrica-Papers: A 10-Billion-Token Multi-Domain Academic Corpus for African Foundation Language Models
arXiv:2610.28173v1 Announce Type: cross Abstract: Large Language Models (LLMs) depend fundamentally on the diversity, depth, and factual rigor of their pre-training corpora. However, contemporary foundational pre-trainin…
- arXiv cs.AIresearchTemporal Evidence-Parameter Co-Alignment for LLM Reasoning over Temporal Knowledge Graphs
arXiv:2610.28176v2 Announce Type: replace-cross Abstract: Large Language Models (LLMs) often struggle with temporally grounded reasoning because their static parametric memory is misaligned with the dynamic evolution of…
- arXiv cs.AIresearchPerceives but Doesn't Brake: A Perception-Action Binding Gap in Reasoning Driving VLAs
arXiv:2610.28184v1 Announce Type: cross Abstract: Reasoning-augmented vision-language-action (VLA) driving models can perceive and reason about safety-critical hazards yet fail to translate that evidence into safe action…
- arXiv cs.AIresearchOffline Makes Online Better: Calibrated Cache Compression for Video Generation
arXiv:2610.28192v1 Announce Type: cross Abstract: Token merging is an effective approach to reducing KV-cache memory consumption in autoregressive video generation by clustering temporally redundant tokens and retaining…
- arXiv cs.AIresearchAdaptive Pullback: Reweighting Supervision at Penalty Jumps in On-Policy Distillation
arXiv:2610.28194v1 Announce Type: cross Abstract: On-policy distillation (OPD) supervises student-generated responses using sampled-token student-teacher log-ratios. A positive log-ratio penalizes a token that the studen…
- arXiv cs.AIresearchParameter-Efficient Adaptation of Time Series Foundation Models for Electrical Load Forecasting
arXiv:2610.28200v2 Announce Type: replace-cross Abstract: Accurate electrical load forecasting supports power-system operation across countries, regions, cities, and buildings, but repeated development of target-specific…
- arXiv cs.AIresearchJAXbounce: A Continuous-Control Pong-Like Benchmark for Active Inference Beyond Low Dimensional Environments
arXiv:2610.28203v1 Announce Type: cross Abstract: We introduce JAXbounce, a continuous control pong-like benchmark designed to evaluate active inference beyond discrete, low dimensional environments. JAXbounce combines c…