Ming Zhong

According to our database, Ming Zhong authored at least 43 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Why Does the Effective Context Length of LLMs Fall Short?

Chenxin An, Jun Zhang, Ming Zhong, Lei Li, Shansan Gong, Yao Luo, Jingjing Xu, Lingpeng Kong

CoRR, 2024

Law of the Weakest Link: Cross Capabilities of Large Language Models.

Ming Zhong, Aston Zhang, Xuewei Wang, Rui Hou, Wenhan Xiong, Chenguang Zhu, Zhengxing Chen, Liang Tan, Chloe Bi, Mike Lewis, Sravya Popuri, Sharan Narang, Melanie Kambadur, Dhruv Mahajan, Sergey Edunov, Jiawei Han, Laurens van der Maaten

CoRR, 2024

See What LLMs Cannot Answer: A Self-Challenge Framework for Uncovering LLM Weaknesses.

Yulong Chen, Yang Liu, Jianhao Yan, Xuefeng Bai, Ming Zhong, Yinghao Yang, Ziyi Yang, Chenguang Zhu, Yue Zhang

CoRR, 2024

Investigating Instruction Tuning Large Language Models on Graphs.

Kerui Zhu, Bo-Wei Huang, Bowen Jin, Yizhu Jiao, Ming Zhong, Kevin Chang, Shou-De Lin, Jiawei Han

CoRR, 2024

Multi-LoRA Composition for Image Generation.

Ming Zhong, Yelong Shen, Shuohang Wang, Yadong Lu, Yizhu Jiao, Siru Ouyang, Donghan Yu, Jiawei Han, Weizhu Chen

CoRR, 2024

Investigating Data Contamination for Pre-training Language Models.

Minhao Jiang, Ken Ziyu Liu, Ming Zhong, Rylan Schaeffer, Siru Ouyang, Jiawei Han, Sanmi Koyejo

CoRR, 2024

Automated Mining of Structured Knowledge from Text in the Era of Large Language Models.

Yunyi Zhang, Ming Zhong, Siru Ouyang, Yizhu Jiao, Sizhe Zhou, Linyi Ding, Jiawei Han

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective.

Ming Zhong, Chenxin An, Weizhu Chen, Jiawei Han, Pengcheng He

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Temperature-Centric Investigation of Speculative Decoding with Knowledge Distillation.

Siru Ouyang, Shuohang Wang, Minhao Jiang, Ming Zhong, Donghan Yu, Jiawei Han, Yelong Shen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

ActionIE: Action Extraction from Scientific Literature with Programming Languages.

Xianrui Zhong, Yufeng Du, Siru Ouyang, Ming Zhong, Tingfeng Luo, Qirong Ho, Hao Peng, Heng Ji, Jiawei Han

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

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

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

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

CoRR, 2023

L-Eval: Instituting Standardized Evaluation for Long Context Language Models.

Chenxin An, Shansan Gong, Ming Zhong, Mukai Li, Jun Zhang, Lingpeng Kong, Xipeng Qiu

CoRR, 2023

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, Michael Zhu, Yue Zhang

CoRR, 2023

Unsupervised Event Chain Mining from Multiple Documents.

Yizhu Jiao, Ming Zhong, Jiaming Shen, Yunyi Zhang, Chao Zhang, Jiawei Han

Proceedings of the ACM Web Conference 2023, 2023

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

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

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

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Instruct and Extract: Instruction Tuning for On-Demand Information Extraction.

Yizhu Jiao, Ming Zhong, Sha Li, Ruining Zhao, Siru Ouyang, Heng Ji, Jiawei Han

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

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 D. Burke, Huimin Zhao, Jiawei Han

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

PREME: Preference-based Meeting Exploration through an Interactive Questionnaire.

Negar Arabzadeh, Ali Ahmadvand, Julia Kiseleva, Yang Liu, Ahmed Hassan Awadallah, Ming Zhong, Milad Shokouhi

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

ReactIE: Enhancing Chemical Reaction Extraction with Weak Supervision.

Ming Zhong, Siru Ouyang, Minhao Jiang, Vivian Hu, Yizhu Jiao, Xuan Wang, Jiawei Han

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

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, Yue Zhang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

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, Jiawei Han

CoRR, 2022

CiteSum: Citation Text-guided Scientific Extreme Summarization and Low-resource Domain Adaptation.

Yuning Mao, Ming Zhong, Jiawei Han

CoRR, 2022

The Cross-lingual Conversation Summarization Challenge.

Yulong Chen, Ming Zhong, Xuefeng Bai, Naihao Deng, Jing Li, Xianchao Zhu, Yue Zhang

CoRR, 2022

Unsupervised Summarization with Customized Granularities.

Ming Zhong, Yang Liu, Suyu Ge, Yuning Mao, Yizhu Jiao, Xingxing Zhang, Yichong Xu, Chenguang Zhu, Michael Zeng, Jiawei Han

CoRR, 2022

Unsupervised Multi-Granularity Summarization.

Ming Zhong, Yang Liu, Suyu Ge, Yuning Mao, Yizhu Jiao, Xingxing Zhang, Yichong Xu, Chenguang Zhu, Michael Zeng, Jiawei Han

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 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, Jiawei Han

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

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

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

CiteSum: Citation Text-guided Scientific Extreme Summarization and Domain Adaptation with Limited Supervision.

Yuning Mao, Ming Zhong, Jiawei Han

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Open-Vocabulary Argument Role Prediction For Event Extraction.

Yizhu Jiao, Sha Li, Yiqing Xie, Ming Zhong, Heng Ji, Jiawei Han

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Improving Abstractive Dialogue Summarization with Speaker-Aware Supervised Contrastive Learning.

Zhichao Geng, Ming Zhong, Zhangyue Yin, Xipeng Qiu, Xuanjing Huang

Proceedings of the 29th International Conference on Computational Linguistics, 2022

CoLo: A Contrastive Learning Based Re-ranking Framework for One-Stage Summarization.

Chenxin An, Ming Zhong, Zhiyong Wu, Qin Zhu, Xuanjing Huang, Xipeng Qiu

Proceedings of the 29th International Conference on Computational Linguistics, 2022

DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization.

Ming Zhong, Yang Liu, Yichong Xu, Chenguang Zhu, Michael Zeng

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

RetrievalSum: A Retrieval Enhanced Framework for Abstractive Summarization.

Chenxin An, Ming Zhong, Zhichao Geng, Jianqiang Yang, Xipeng Qiu

CoRR, 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 R. Radev

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Enhancing Scientific Papers Summarization with Citation Graph.

Chenxin An, Ming Zhong, Yiran Chen, Danqing Wang, Xipeng Qiu, Xuanjing Huang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

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

CoRR, 2020

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Extractive Summarization as Text Matching.

Ming Zhong, Pengfei Liu, Yiran Chen, Danqing Wang, Xipeng Qiu, Xuanjing Huang

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

A Closer Look at Data Bias in Neural Extractive Summarization Models.

Ming Zhong, Danqing Wang, Pengfei Liu, Xipeng Qiu, Xuanjing Huang

CoRR, 2019

Exploring Domain Shift in Extractive Text Summarization.

Danqing Wang, Pengfei Liu, Ming Zhong, Jie Fu, Xipeng Qiu, Xuanjing Huang

CoRR, 2019

Searching for Effective Neural Extractive Summarization: What Works and What's Next.

Ming Zhong, Pengfei Liu, Danqing Wang, Xipeng Qiu, Xuanjing Huang

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019