Fine-tuning remains essential for adapting large models to diverse downstream tasks, yet doing so in a privacy-preserving and resource-efficient manner is challenging, particularly in federated learning (FL) on edge devices. Parameter tensor freezing is a promising solution. However, current methods face key limitation...
Zhong-Xiang Wei, Zhi-Xiong Zhang, Yipeng Zhou et al.· IEEE Journal on Selected Are...· 0 citations
This case study demonstrates the potential of LLMs to improve the accessibility of medical knowledge for patient education through the implementation and evaluation of MediClear, an LLM-based medical knowledge simplification system enhanced with Retrieval-Augmented Generation (RAG).
Pallika Kafle, Yi-Peng Zhou, Guan-Feng Liu et al.· 0 citations
This work proposes Knowledge-Guided Reasoning over Clinical Evidence with LLMs (KREL), a framework that leverages LLMs for clinical text understanding and reasoning while integrating external ICD coding guidelines as structured knowledge, and enables tight coupling between domain knowledge and LLM reasoning.
Xubin Chen, Yi-Peng Zhou, Wenxin Sun et al.· 0 citations
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