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
[Sept. 2024] One paper on LLMs as paper reviewers and area chairs has been accepted to EMNLP 2024.
[Aug. 2024] One paper on self-correction of LLMs has been accepted to TACL 2024.
[July 2024] One paper on error detection benchmark of LLMs has been accepted to COLM 2024.
[June 2024] Our survey paper on self-correction of LLMs is online, entitled When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of Self-Correction of LLMs. Feel free to check it out!
[Apr. 2024] I will join Salesforce AI Research as a Research Intern at Palo Alto, CA in summer 2024!