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Yi Guan

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#artificial intelligence Preprint Sep 2026

H2Table: Hierarchical Hypergraph-Enhanced Large Language Models for Complex Table Reasoning

This work proposes H2Table (Hierarchical Hypergraph-Enhanced Table Reasoning), a novel framework that represents complex tables as hierarchical nested hypergraphs, and designs a tailored hypergraph encoder to facilitate message passing between hyperedges and nodes within complex tables.

Jia Ling, Yang-Fan Wang, Chen Tang et al. · 0 citations
Preprint Aug 2026

MedCalc-R1: Knowledge-Guided Reward Framework for Medical Mathematical Reasoning

Experimental results demonstrate that the proposed knowledge-guided hybrid reward framework significantly outperforms existing baselines in both reasoning accuracy and generalization capability, validating the effectiveness and applicability in safety-critical domains.

Hao-Tian Wang, Lian Yan, Xingzhi Yao et al. · 2 citations

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