Zaifu Zhan

According to our database, Zaifu Zhan authored at least 15 papers between 2020 and 2025.

Collaborative distances:

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

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

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

CoRR, July, 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

CoRR, May, 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

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

CoRR, February, 2025

PaperHelper: Knowledge-Based LLM QA Paper Reading Assistant.

Congrui Yin, Evan Wei, Zhongxing Zhang, Zaifu Zhan

CoRR, February, 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

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