Zaifu Zhan

According to our database, Zaifu Zhan authored at least 29 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

RuPLaR : Efficient Latent Compression of LLM Reasoning Chains with Rule-Based Priors From Multi-Step to One-Step.

Xiaocheng Luo, Kang Wang, Zaifu Zhan, Yuechi Zhou, Xiangyu Duan

CoRR, May, 2026

An Underexplored Frontier: Large Language Models for Rare Disease Patient Education and Communication - A scoping review.

Zaifu Zhan, Yu Hou, Kai Yu, Min Zeng, Anita Burgun, Xiaoyi Chen, Rui Zhang

CoRR, April, 2026

PRIME: Prototype-Driven Multimodal Pretraining for Cancer Prognosis with Missing Modalities.

Kai Yu, Shuang Zhou, Yiran Song, Zaifu Zhan, Jie Peng, Kaixiong Zhou, Tianlong Chen, Feng Xie, Meng Wang, Huazhu Fu, Mingquan Lin, Rui Zhang

CoRR, April, 2026

Can Large Language Models Self-Correct in Medical Question Answering? An Exploratory Study.

Zaifu Zhan, Mengyuan Cui, Rui Zhang

CoRR, April, 2026

EpiScreen: Early Epilepsy Detection from Electronic Health Records with Large Language Models.

Shuang Zhou, Kai Yu, Zaifu Zhan, Huixue Zhou, Min Zeng, Feng Xie, Zhiyi Sha, Rui Zhang

CoRR, March, 2026

MedCL-Bench: Benchmarking stability-efficiency trade-offs and scaling in biomedical continual learning.

Min Zeng, Shuang Zhou, Zaifu Zhan, Rui Zhang

CoRR, March, 2026

HeartAgent: An Autonomous Agent System for Explainable Differential Diagnosis in Cardiology.

Shuang Zhou, Kai Yu, Song Wang, Wenya Xie, Zaifu Zhan, Meng-Han Tsai, Yuen-Hei Chung, Shutong Hou, Huixue Zhou, Min Zeng, Bhavadharini Ramu, Lin Yee Chen, Feng Xie, Rui Zhang

CoRR, March, 2026

To Reason or Not to: Selective Chain-of-Thought in Medical Question Answering.

Zaifu Zhan, Min Zeng, Shuang Zhou, Yiran Song, Xiaoyi Chen, Yu Hou, Yifan Wu, Yang Ruan, Rui Zhang

CoRR, February, 2026

CancerLLM: a large language model in cancer domain.

Mingchen Li, Zaifu Zhan, Jiatan Huang, Jeremy Yeung, Kai Ding, Anne H. Blaes, Steven Johnson, Hongfang Liu, Hua Xu, Rui Zhang

npj Digit. Medicine, 2026

Retrieval-augmented in-context learning for multimodal large language models in disease classification.

Zaifu Zhan, Shuang Zhou, Xiaoshan Zhou, Yongkang Xiao, Jun Wang, Jiawen Deng, He Zhu, Yu Hou, Yiran Song, Mingquan Lin, Rui Zhang

J. Biomed. Informatics, 2026

PEER: Towards reliable and efficient inference via Patience-Based Early Exiting with Rejection.

Zaifu Zhan, Shuang Zhou, Rui Zhang

J. Biomed. Informatics, 2026

Letter to the Editor in response to "Optimizing example-selection in retrieval-augmented biomedical in-context learning: reflections on the MMRAG study".

Zaifu Zhan, Rui Zhang

J. Am. Medical Informatics Assoc., 2026

2025

Quantized Large Language Models in Biomedical Natural Language Processing: Evaluation and Recommendation.

Zaifu Zhan, Shuang Zhou, Min Zeng, Kai Yu, Meijia Song, Xiaoyi Chen, Jun Wang, Yu Hou, Rui Zhang

CoRR, September, 2025

Benchmarking GPT-5 for biomedical natural language processing.

Yu Hou, Zaifu Zhan, Rui Zhang

CoRR, September, 2025

Data-Efficient Biomedical In-Context Learning: A Diversity-Enhanced Submodular Perspective.

Jun Wang, Zaifu Zhan, Qixin Zhang, Mingquan Lin, Meijia Song, Rui Zhang

CoRR, August, 2025

Retrieval-augmented in-context learning for multimodal large language models in disease classification.

Zaifu Zhan, Shuang Zhou, Xiaoshan Zhou, Yongkang Xiao, Jun Wang, Jiawen Deng, He Zhu, Yu Hou, Rui Zhang

CoRR, May, 2025

EPEE: Towards Efficient and Effective Foundation Models in Biomedicine.

Zaifu Zhan, Shuang Zhou, Huixue Zhou, Zirui Liu, Rui Zhang

CoRR, March, 2025

An evaluation of DeepSeek Models in Biomedical Natural Language Processing.

Zaifu Zhan, Shuang Zhou, Huixue Zhou, Jiawen Deng, Yu Hou, Jeremy Yeung, Rui Zhang

CoRR, March, 2025

PaperHelper: Knowledge-Based LLM QA Paper Reading Assistant.

Congrui Yin, Evan Wei, Zhongxing Zhang, Zaifu Zhan

CoRR, February, 2025

Automating expert-level medical reasoning evaluation of large language models.

Shuang Zhou, Wenya Xie, Jiaxi Li, Zaifu Zhan, Meijia Song, Han Yang, Cheyenna Espinoza, Lindsay Welton, Xinnie Mai, Yanwei Jin, Zidu Xu, Yuen-Hei Chung, Yiyun Xing, Meng-Han Tsai, Emma Schaffer, Yucheng Shi, Ninghao Liu, Zirui Liu, Rui Zhang

npj Digit. Medicine, 2025

Uncertainty-aware large language models for explainable disease diagnosis.

Shuang Zhou, Jiashuo Wang, Zidu Xu, Song Wang, David Brauer, Lindsay Welton, Jacob Cogan, Yuen-Hei Chung, Lei Tian, Zaifu Zhan, Yu Hou, Mingquan Lin, Genevieve B. Melton, Rui Zhang

npj Digit. Medicine, 2025

RAMIE: retrieval-augmented multi-task information extraction with large language models on dietary supplements.

Zaifu Zhan, Shuang Zhou, Mingchen Li, Rui Zhang

J. Am. Medical Informatics Assoc., 2025

MMRAG: multi-mode retrieval-augmented generation with large language models for biomedical in-context learning.

Zaifu Zhan, Jun Wang, Shuang Zhou, Jiawen Deng, Rui Zhang

J. Am. Medical Informatics Assoc., 2025

Towards Better Multi-task Learning: A Framework for Optimizing Dataset Combinations in Large Language Models.

Zaifu Zhan, Rui Zhang

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit.

Huixue Zhou, Hengrui Gu, Zaifu Zhan, Xi Liu, Kaixiong Zhou, Yongkang Xiao, Mingfu Liang, Srinivas Prasad Govindan, Piyush Chawla, Jiyan Yang, Xiangfei Meng, Huayu Li, Buyun Zhang, Liang Luo, Wen-Yen Chen, Yiping Han, Bo Long, Rui Zhang, Tianlong Chen

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Towards Better Multi-task Learning: A Framework for Optimizing Dataset Combinations in Large Language Models.

Zaifu Zhan, Rui Zhang

CoRR, 2024

Large Language Models for Disease Diagnosis: A Scoping Review.

Shuang Zhou, Zidu Xu, Mian Zhang, Chunpu Xu, Yawen Guo, Zaifu Zhan, Sirui Ding, Jiashuo Wang, Kaishuai Xu, Yi Fang, Liqiao Xia, Jeremy Yeung, Daochen Zha, Genevieve B. Melton, Mingquan Lin, Rui Zhang

CoRR, 2024

Benchmarking Retrieval-Augmented Large Language Models in Biomedical NLP: Application, Robustness, and Self-Awareness.

Mingchen Li, Zaifu Zhan, Han Yang, Yongkang Xiao, Jiatan Huang, Rui Zhang

CoRR, 2024

2020

Enhancement of Omni-Directional EMAT Signal Using a Optimized Magnetic Circuit Design.

Zhe Wang, Zaifu Zhan, Shen Wang, Wei Zhao, Songling Huang

Proceedings of the 2020 IEEE Sensors, Rotterdam, The Netherlands, October 25-28, 2020, 2020