Nan Zhang (Chinese: 张楠) is a Ph.D. student in College of Information Sciences and Technology at The Pennsylvania State University. He has broad interests in natural language processing, clinical NLP, and machine learning. He is advised by Dr. Rui Zhang and Dr. Prasenjit Mitra. He is currently working on LLMs compression and summarization.
Before joining Penn State, he received his bachelor’s degree from Worcester Polytechnic Institute (WPI) in 2017 and his master’s degree from Georgia Institute of Technology in 2020.
PhD in Informatics, 2020 - Present
The Pennsylvania State University
MS in Computational Science and Engineering, 2020
Georgia Institute of Technology
BS in Computer Science & Industrial Engineering (double major), 2017
Worcester Polytechnic Institute
[Mar. 2024] Two papers on LLMs compression and LLMs summarization has been accepted to NAACL 2024.
[Feb. 2024] Our FaMeSumm paper has been reported by Penn State News and other external sites.
[Feb. 2024] One paper on chemistry-oriented OCR has been accepted to LREC-COLING 2024.
[Jan. 2024] Our survey paper on resource-efficient LLMs is online, entitled Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models. Feel free to check it out!
[Dec. 2023] Presented our FaMeSumm paper at EMNLP 2023 in Singapore.