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Artificial Intelligence
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The newest 5,000 papers, from 11 October 2026 to 5 November 2026: 4,998 arXiv preprints and 2 OpenAlex records.
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Newest papers, page 155
VLM-Guided Contact Retargeting and Generative Partner Modeling for Humanoid-Human Interaction
Humanoid-human interaction requires robots to operate under severe partial observability: during close physical contact, the human partner is occluded, truncated, or outside the robot's field of…Beyond 4 bits: Data-Centric Post-training Quantization and Recovery
Post-training quantization (PTQ) compresses the weights of a trained model with limited compute and data.Humans Correct Their Judgments Through Debate, but Weaker AI Models Do Not
How can we effectively oversee AI systems that surpass human intelligence?Binary Discrete Diffusion: Candidate-Set Diffusion for Logic and Planning Tasks
Discrete diffusion models iteratively denoise a noisy sequence of categorical data such as text, enabling any-order generation with self-correction and in-filling capabilities.Learning Computational Structure for Sample-Efficient Prediction
Statistical learning in high dimensions suffers from the curse of dimensionality.When Do LLMs Help with Feature Selection? A Systematic Empirical Study
Large language models (LLMs) can leverage semantic feature names alongside summary statistics for tabular feature selection, yet it remains unclear when such information improves subset selection…Large Flow Language Models
Continuous flow language models offer a path to parallel generation with tools for control and acceleration unavailable to discrete diffusion, yet effective techniques for building them at the…Agentic Ensemble with Vision-Language Models for Visual Anomaly Detection
Visual anomaly detection aims to detect abnormal objects, while anomaly samples are often scarce during model training.OptScientist: Automated Discovery of Optimization Laws
Many scientific phenomena are best understood as outcomes of underlying optimization problems, yet automated scientific discovery has largely focused on recovering equations that describe observed…Evolving Semantic Indexes for Generative Retrieval
Generative retrieval (GR) casts search and recommendation as autoregressive generation of discrete semantic identifiers (SIDs).Sage-A1.5: From Long-Horizon Execution to Scientific Exploration with Capability Composition
In this report, we introduce Sage-A1.5, a 35B Mixture-of-Experts agentic model that builds on A1 to advance long-horizon problem solving through adaptive capability composition.Spatially Informed and Direction Sensitive Representation Learning for Spatial Transcriptomics
Cellular states are shaped by both intrinsic gene expression programs and the spatial microenvironment in which cells reside.Beyond the Sequentiality Bottleneck: A Hybrid Diffusion-Autoregressive Framework for Efficient Multimodal Reasoning
Autoregressive models (ARMs) face a "Sequentiality Bottleneck" in reasoning, while diffusion language models (DLMs) offer parallelism but lack semantic coherence.SceneRig: An Agentic System for Simulation-Ready 3D Scene Reconstruction from Single Images
Simulation is a powerful tool for robotics, but building diverse, simulation-ready scenes at scale remains difficult.Capable Teacher, Myopic Scorer: Reward-Free Teacher Repair for Agentic On-Policy Distillation
Agentic on-policy distillation (OPD) trains a student agent on its own trajectories while a teacher scores every token.What Do RTL Repair Benchmarks Actually Measure?
RTL repair benchmarks should measure whether a model can fix broken RTL given a specification.Evolving Agent Interfaces
Computer-use agents are limited by the interfaces humans give them.Turning TS2Vec into a Foundation Model for Time Series Classification
TS2Vec is one of the strongest self-supervised methods for time series classification, introduced in 2022.Value-Rich, Differently Organized: Measuring Value Expression and Organization in AI-Generated Debates
Current evaluation of LLM-generated debate largely focuses on argumentative quality, leaving the value structure of generated arguments underexamined.Benchmarking Arabic Dialects for Math Problems
Mathematical reasoning remains underexplored for low-resource languages, including Dialectal Arabic.