Biography

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.

Interests
  • LLMs Compression
  • Natural Language Processing
  • Clinical NLP
  • Machine Learning
Education

  • 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

Recent News

All news»

[Apr. 2024] I will join Salesforce AI Research as a Research Intern at Palo Alto, CA in summer 2024!

[Apr. 2024] Our paper on error detection benchmark of LLMs is online, entitled Evaluating LLMs at Detecting Errors in LLM Responses. Feel free to check it out!

[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.

Publications

Ryo Kamoi, Sarkar Snigdha Sarathi Das, Renze Lou, Jihyun Janice Ahn, Yilun Zhao, Xiaoxin Lu, Nan Zhang, Yusen Zhang, Ranran Haoran Zhang, Sujeeth Reddy Vummanthala, Salika Dave, Shaobo Qin, Arman Cohan, Wenpeng Yin, Rui Zhang (2024). Evaluating LLMs at Detecting Errors in LLM Responses. Preprint, 2024.

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Nan Zhang, Yanchi Liu, Xujiang Zhao, Wei Cheng, Runxue Bao, Rui Zhang, Prasenjit Mitra, Haifeng Chen (2024). Pruning as a Domain-specific LLM Extractor. NAACL Findings, 2024.

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Yusen Zhang, Nan Zhang, Yixin Liu, Alexander Fabbri, Junru Liu, Ryo Kamoi, Xiaoxin Lu, Caiming Xiong, Jieyu Zhao, Dragomir Radev, Kathleen McKeown, Rui Zhang (2024). Fair Abstractive Summarization of Diverse Perspectives. NAACL, 2024.

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Nan Zhang, Connor Heaton, Sean Timothy Okonsky, Prasenjit Mitra, Hilal Ezgi Toraman (2024). PEaCE: A Chemistry-Oriented Dataset for Optical Character Recognition on Scientific Documents. LREC-COLING, 2024.

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Guangji Bai, Zheng Chai, Chen Ling, Shiyu Wang, Jiaying Lu, Nan Zhang, Tingwei Shi, Ziyang Yu, Mengdan Zhu, Yifei Zhang, Carl Yang, Yue Cheng, Liang Zhao (2024). Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models. Preprint, 2024.

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Nan Zhang, Yusen Zhang, Wu Guo, Prasenjit Mitra, Rui Zhang (2023). FaMeSumm: Investigating and Improving Faithfulness of Medical Summarization. EMNLP, 2023.

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Nan Zhang, Shomir Wilson, Prasenjit Mitra (2022). STAPI: An Automatic Scraper for Extracting Iterative Title-Text Structure from Web Documents. LREC, 2022.

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