Thanks for stopping by my website!

I am a third-year PhD student in the Data Mining Group (DMG) at the University of Illinois Urbana-Champaign, advised by Prof. Jiawei Han. Before coming to UIUC, I got my master's at Fudan University advised by Prof. Xipeng Qiu. I was an undergraduate at ECNU, working with Prof. Yuanbin Wu. I am fortunate to be a recipient of the Amazon PhD Fellowship.

My current research interests lie in the following topics: (1) knowledge transfer and composition between LLMs, especially for parameter-efficient fine-tuning modules, (2) evaluation of LLMs, and (3) the application of AI for chemistry.

Publications

(* stands for equal contribution.)

2023

• Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective
  Ming Zhong, Chenxin An, Weizhu Chen, Jiawei Han, Pengcheng He
  Preprint    [ Paper | Code ]
• L-Eval: Instituting Standardized Evaluation for Long Context Language Models
  Chenxin An, Shansan Gong, Ming Zhong, Xingjian Zhao, Mukai Li, Jun Zhang, Lingpeng Kong, Xipeng Qiu
  Preprint    [ Paper | Code ]
• Dynosaur: a Dynamic Growth Paradigm for Instruction-Tuning Data Curation
  Da Yin*, Xiao Liu*, Fan Yin*, Ming Zhong*, Hritik Bansal, Jiawei Han, Kai-Wei Chang
  EMNLP 2023    [ Paper | Code | Project Page ]
• Instruct and Extract: Instruction Tuning for On-Demand Information Extraction
  Yizhu Jiao, Ming Zhong, Sha Li, Ruining Zhao, Siru Ouyang, Heng Ji, Jiawei Han
  EMNLP 2023 (Oral)    [ Paper | Code ]
• The Shifted and The Overlooked: A Task-oriented Investigation of User-GPT Interactions
  Siru Ouyang, Shuohang Wang, Yang Liu, Ming Zhong, Yizhu Jiao, Dan Iter, Reid Pryzant, Chenguang Zhu, Heng Ji, Jiawei Han
  EMNLP 2023    [ Paper | Code]
• Reaction Miner: An Integrated System for Chemical Reaction Extraction from Textual Data
  Ming Zhong, Siru Ouyang, Yizhu Jiao, Priyanka Kargupta, Leo Luo, Yanzhen Shen, Bobby Zhou, Xianrui Zhong, Xuan Liu, Hongxiang Li, Jinfeng Xiao, Minhao Jiang, Vivian Hu, Xuan Wang, Heng Ji, Martin Burke, Huimin Zhao, Jiawei Han
  EMNLP 2023 Demo    [ Paper ]
• ReactIE: Enhancing Chemical Reaction Extraction with Weak Supervision
  Ming Zhong, Siru Ouyang, Minhao Jiang, Vivian Hu, Yizhu Jiao, Xuan Wang, Jiawei Han
  ACL 2023 Findings, Short Paper    [ Paper ]
• Revisiting Cross-Lingual Summarization: a Corpus-based Study and a New Benchmark with Improved Annotation
  Yulong Chen, Huajian Zhang, Yijie Zhou, Xuefeng Bai, Yueguan Wang, Ming Zhong, Jianhao Yan, Yafu Li, Judy Li, Xianchao Zhu and Yue Zhang
  ACL 2023    [ Paper | Data ]
• Unsupervised Event Chain Mining from Multiple Documents
  Yizhu Jiao, Ming Zhong, Jiaming Shen, Yunyi Zhang, Chao Zhang, Jiawei Han
  WWW 2023    [ Paper ]
• PREME: Preference-based Meeting Exploration through an Interactive Questionnaire
  Negar Arabzadeh, Ali Ahmadvand, Julia Kiseleva, Yang Liu, Ahmed Hassan Awadallah, Ming Zhong, Milad Shokouhi
  EACL 2023 Findings    [ Paper | Code ]

2022

• Towards a Unified Multi-Dimensional Evaluator for Text Generation
  Ming Zhong, Yang Liu, Da Yin, Yuning Mao, Yizhu Jiao, Pengfei Liu, Chenguang Zhu, Heng Ji and Jiawei Han
  EMNLP 2022 (Oral)    [ Paper | Code ]
• CiteSum: Citation Text-guided Scientific Extreme Summarization and Low-resource Domain Adaptation
  Yuning Mao, Ming Zhong, Jiawei Han
  EMNLP 2022    [ Paper | Code and Data ]
• UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models
  Tianbao Xie*, Chen Henry Wu*, Peng Shi, Ruiqi Zhong, Torsten Scholak, Michihiro Yasunaga, Chien-Sheng Wu, Ming Zhong, Pengcheng Yin, Sida I. Wang, Victor Zhong, Bailin Wang, Chengzu Li, Connor Boyle, Ansong Ni, Ziyu Yao, Dragomir Radev, Caiming Xiong, Lingpeng Kong, Rui Zhang, Noah A. Smith, Luke Zettlemoyer, Tao Yu
  EMNLP 2022 (Oral)    [ Paper | Code | Project Page ]
• Unsupervised Multi-Granularity Summarization
  Ming Zhong, Yang Liu, Suyu Ge, Yuning Mao, Yizhu Jiao, Xingxing Zhang, Yichong Xu, Chenguang Zhu, Michael Zeng, Jiawei Han
  EMNLP 2022 Findings    [ Paper | Data ]
• Open-Vocabulary Argument Role Prediction for Event Extraction
  Yizhu Jiao, Sha Li, Yiqing Xie, Ming Zhong, Heng Ji and Jiawei Han
  EMNLP 2022 Findings    [ Paper | Code ]
• DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization
  Ming Zhong, Yang Liu, Yichong Xu, Chenguang Zhu, Michael Zeng
  AAAI 2022 (Oral)    [ Paper | Code | Dataset ]
• COLO: A Contrastive Learning Based Re-ranking Framework for One-Stage Summarization
  Chenxin An, Ming Zhong, Zhiyong Wu, Qin Zhu, Xuanjing Huang, Xipeng Qiu
  COLING 2022    [ Paper | Code ]
• Improving Abstractive Dialogue Summarization with Speaker-Aware Supervised Contrastive Learning
  Zhichao Geng, Ming Zhong, Zhangyue Yin, Xipeng Qiu and Xuanjing Huang
  COLING 2022, Short Paper (Oral)    [ Paper ]
• The Cross-lingual Conversation Summarization Challenge
  Yulong Chen*, Ming Zhong*, Xuefeng Bai*, Naihao Deng, Jing Li, Xianchao Zhu, Yue Zhang
  INLG 2022    [ Paper ]

2021

• QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization
  Ming Zhong*, Da Yin*, Tao Yu, Ahmad Zaidi, Mutethia Mutuma, Rahul Jha, Ahmed Hassan Awadallah, Asli Celikyilmaz, Yang Liu, Xipeng Qiu, Dragomir Radev
  NAACL 2021 (Oral)    [ Paper | Dataset ]
• Enhancing Scientific Papers Summarization with Citation Graph
  Chenxin An, Ming Zhong, Yiran Chen, Danqing Wang, Xipeng Qiu, Xuanjing Huang
  AAAI 2021    [ Paper | Code | Dataset ]
• RetrievalSum: A Retrieval Enhanced Framework for Abstractive Summarization
  Chenxin An, Ming Zhong, Zhichao Geng, Jianqiang Yang, Xipeng Qiu
  arXiv 2021    [ Paper ]

2020

• Extractive Summarization as Text Matching
  Ming Zhong*, Pengfei Liu*, Yiran Chen, Danqing Wang, Xipeng Qiu, Xuanjing Huang
  ACL 2020    [ Paper | Code ]
• CDEvalSumm: An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems
  Yiran Chen*, Pengfei Liu*, Ming Zhong, Zi-Yi Dou, Danqing Wang, Xipeng Qiu, Xuanjing Huang
  EMNLP 2020 Findings    [ Paper | Code ]

2019

• Searching for Effective Neural Extractive Summarization: What Works and What's Next
  Ming Zhong*, Pengfei Liu*, Danqing Wang, Xipeng Qiu, Xuanjing Huang
  ACL 2019 (Oral)    [ Paper | Code ]
• A Closer Look at Data Bias in Neural Extractive Summarization Models
  Ming Zhong*, Danqing Wang*, Pengfei Liu*, Xipeng Qiu, Xuanjing Huang
  EMNLP 2019 Workshop on New Frontiers in Summarization    [ Paper ]
• Exploring Domain Shift in Extractive Text Summarization
  Danqing Wang*, Pengfei Liu*, Ming Zhong, Jie Fu, Xipeng Qiu, Xuanjing Huang
  arXiv 2019    [ Paper ]