Hugging Face Trending Papers August 5, 2026

EdgeLM: Edge Demonstrations for Language Models' Table Understanding

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Large language models (LLMs) perform table-centric prediction through in-context learning, making demonstration selection critical to performance. Existing retrieval methods prioritize similarity to the query, but similar demonstrations often reinforce the model's likely prediction rather than reveal the distinctions needed for difficult decisions.

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llms

arXiv Machine Learning

Jun 8

GraphWalker: Patient Analogy Meets Information Gain for Clinical Reasoning with Large Language Models

arXiv:2604. 06684v2 Announce Type: replace Abstract: Clinical reasoning over electronic health records (EHRs) is a fundamental yet challenging task in modern healthcare.

By Yue Fang, Weibin Liao, Yuxin Guo, Jiaran Gao, Hongxin Ding, Jinyang Zhang, Xinke Jiang, Zhibang Yang, Junfeng Zhao, Yasha Wang, Liantao Ma

llms agents benchmarks

arXiv Machine Learning

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Understanding the Surprising Generalization Properties of Tabular Foundation Models

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By Nour Shaheen, Junwei Ma, Alex Labach, Frank Hutter, Valentin Thomas, Anthony L. Caterini

llms

arXiv AI

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Geometry-Aware Hallucination Detection in Large Language Models

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llms rag nlp fine-tuning benchmarks safety

arXiv Machine Learning

Jun 19

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llms fine-tuning

arXiv AI

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By Ishika Agarwal, Arkajyoti Charaborty, Tanner Sorensen, Neha Gupta, Andreas Stolcke

llms fine-tuning

arXiv AI

Jun 30

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By Xiao You, Tianwei Yan, Shan Zhao

llms nlp

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