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The newest 5,000 papers, from 12 October 2026 to 5 November 2026: 5,000 arXiv preprints.
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Newest papers, page 36
Why Tabular Foundation Models Excel on Relational Data They Have Never Seen
Given a relational database (RDB) storing heterogeneous tabular information, how can we predict missing (or future) values in some target column of interest?RouteREPA: Routed Representation Alignment for Just Image Transformers
Representation alignment (REPA) is widely used to accelerate the training of latent-space diffusion transformers (DiTs).Exact Fusion of Softmax Attention Heads Can Require Exponentially Many Atoms
Fusing independently normalized attention heads can increase the number of explicit key-value entries, or atoms, needed to preserve their output.Action Verification through Conjecture and Refutation for Language Model Agents
Language model agents increasingly act on users' behalf by manipulating external environments through tools, often from high-level instructions that leave critical task- and environment-specific…Generative diffusion in long-range correlated landscapes: Speciation cascade and the foam structure of the score
While state of the art for image and video generation, the fundamental reasons for the effectiveness of generative diffusion remain unclear.Specification-Aware Predictive Uncertainty Decomposition
Classical decompositions of predictive uncertainty, such as the information-theoretic one, are defined for a fixed representation $x$ of the input object.One Image Is Enough: Self-Generated Supervision for Personalizing Human Video Diffusion at Test Time
Pose-driven human video diffusion animates a person from a single reference image and a target pose sequence, yet it struggles to preserve identity, rendering the face and garments unfaithfully as…SHq: Learnable Grids for LLM Weight Quantization
Block-scaled lookup-table (LUT) formats, which represent weights as indices into a small value set (the grid), have become standard for low-bit LLM quantization, ranging from NF4 and BOF4 to the…Utility-Aware Generative Recommendation: Utility-Enriched Semantic Codes and Utility-Guided Decoding
Generative recommendation has been widely adopted in large-scale industrial recommendation systems, where multimodal item embeddings are quantized into offline semantic identifiers (SIDs) and items…Comparative study of global pooling for pre-departure ship fuel consumption prediction: Advantages over per-ship and adaptation-based approaches
Most fuel oil consumption (FOC) models for voyage planning are per-ship models and thus generalize poorly beyond each vessel's records.The Tower of Babel in artificial intelligence: who should speak, and when it pays to listen
Two machines can each recognize an object well and still fail together.Improved regret bounds in tabular RL under local differential privacy
We study regret minimization for time-homogeneous episodic tabular reinforcement learning with $S$ states and $A$ actions under non-interactive $ε$-local differential privacy (LDP).Hybrid Federated Learning for Multimodal Fusion under Missing Modalities and Site Heterogeneity
Multimodal fusion is studied under hybrid federation, where data are partitioned across samples and feature blocks.When Does Design Thinking Work? A Convergence Theorem for the Iterate-Test Core
Design thinking is widely taught as an iterative loop of ideation, prototyping, and testing, yet conditions under which such a loop must improve innovation outcomes remain unspecified.TSB-SEG: A Systematic Time-Series Segmentation Benchmark
Time-series segmentation, studied as either Change Point Detection (CPD) or State Detection (SD), underpins a broad range of monitoring and diagnostic applications.VERS: Steering Reasoning Models by Editing Their Activation Explanations
Reasoning language models write a chain of thought before they answer, and many checks in it do not change the final answer.Bayesian Sequential Optimal Experimental Design for Single-Pixel Imaging using Reinforcement Learning
Adaptive compressed sensing (CS) aims to select the most informative measurements sequentially, which is crucial for many modern imaging systems.Optimal Subgroup Discovery at Every Support Threshold
Subgroup discovery aims to identify regions of the feature space where a target variable deviates from its marginal distribution.Resilient Cell-Free MIMO ISAC Under Uncertainties: An Impairment-Aware Graph Neural Network Framework
Beamforming designs for integrated sensing and communication (ISAC) in cell-free multiple-input multiple-output (MIMO) systems face the challenge to stay reliable under uncertainties from both…An Experimental Study of Hybrid Retrieval, NLI and Open-source LLMs for Scientific Claim Verification
Claim verification is the task of deciding whether a source text supports a claim, contradicts it, or lacks sufficient evidence.