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Conference Open access Sep 2026

Disentangled Graph-Enhanced Large Language Models for Fair Learning

Large Language Models (LLMs) achieve strong performance in many applications but remain limited in handling graph-structured data due to their reliance on textual context. Recent approaches integrate Graph Neural Networks (GNNs) to enhance structural modeling, yet they largely overlook fairness, leaving models vulnerab...

Zhi-Peng Yin, Zi-Chong Wang, Zhong Chen et al. · 5 citations
Open access Sep 2026

Assisting patients with reliable information gathering: A guide to building efficient QA systems for medical use

The application of question-answering (QA) systems in the medical domain has rapidly advanced, significantly improving patients’ access to reliable health-related information. However, current approaches face notable challenges, including the difficulty in obtaining large-scale and unbiased medical datasets, significan...

Zhi-Peng Yin, Zi-Chong Wang, Min Chen et al. · 0 citations

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