Lichang Chen

I am a PhD candidate at the Computer Science Department, University of Maryland, College Park, where I work closely with Dr. Heng Huang, Dr. Tianyi Zhou, and Dr. Tom Goldstein. I obtained my bachelor's degree from Zhejiang University. I can be reached at {bob}{my-last-name}@cs.umd.edu.

My name in Chinese: 陈力畅

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Research

My research interests are in steering the Foundation Models(including Large Large Models and Vision Languge Models) effectively and efficiently. 📚 I’m currently working on personalizing LLMs for every user and auto-search a better prompt starting from an initial one.📽️ Below is my selected publications.

Selected Publications

	ODIN: Disentangled Reward Mitigates Hacking in RLHF Lichang Chen, Chen Zhu, Davit Soselio, Tianyi Zhou, Tom Goldstein, Heng Huang, Mohammad Shoeybi, Bryan Catanzaro Preprint, 2024.
	AlpaGasus: Training a Better Alpaca with Fewer Data Lichang Chen, Shiyang Li, Jun Yan, Hai Wang, Kalpa Gunaratna, Vikas Yadav, Zheng Tang, Vijay Srinivasan, Tianyi Zhou, Heng Huang, Hongxia Jin ICLR, 2024
	Unbiased watermark for large language models Zhengmian Hu, Lichang Chen, Xidong Wu, Yihan Wu, Hongyang Zhang, Heng Huang ICLR, 2024 (Spotlight)
	Backdooring Instruction-Tuned Large Language Models with Virtual Prompt Injection Jun Yan, Vikas Yadav, Shiyang Li, Lichang Chen, Zheng Tang, Hai Wang, Vijay Srinivasan, Xiang Ren, Hongxia Jin NAACL , 2024
	HallusionBench: an image-context reasoning benchmark challenging for multi-modality models Fuxiao Liu, Tianrui Guan, Zongxia Li, Lichang Chen, et al. CVPR, 2024
	InstructZero: Efficient Instruction Optimization for Black-Box Large Language Models Lichang Chen, Jiuhai Chen, Tom Goldstein, Heng Huang, Tianyi Zhou Preprint, 2023
	How Many Demonstrations Do You Need for In-context Learning? Jiuhai Chen, Lichang Chen, Chen Zhu, Tianyi Zhou EMNLP, 2023
	PTP: Boosting Stability and Performance of Prompt Tuning with Perturbation-Based Regularizer Lichang Chen, Jiuhai Chen, Heng Huang, Minhao Cheng EMNLP, 2023