Searching for Effective Neural Extractive Summarization: What Works and What's Next. - Ming Zhong 005; Pengfei Liu 003; Danqing Wang; Xipeng Qiu; Xuanjing Huang 001 (ACL (1), 2019)

Exploring Domain Shift in Extractive Text Summarization. - Danqing Wang; Pengfei Liu 003; Ming Zhong 005; Jie Fu 001; Xipeng Qiu; Xuanjing Huang 001 (CoRR, 2019)

A Closer Look at Data Bias in Neural Extractive Summarization Models. - Ming Zhong 005; Danqing Wang; Pengfei Liu 003; Xipeng Qiu; Xuanjing Huang 001 (CoRR, 2019)

Extractive Summarization as Text Matching. - Ming Zhong 005; Pengfei Liu 003; Yiran Chen 013; Danqing Wang; Xipeng Qiu; Xuanjing Huang 001 (ACL, 2020)

An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems. - Yiran Chen 013; Pengfei Liu 003; Ming Zhong 005; Zi-Yi Dou; Danqing Wang; Xipeng Qiu; Xuanjing Huang 001 (EMNLP (Findings), 2020)

CDEvalSumm: An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems. - Yiran Chen 013; Pengfei Liu 003; Ming Zhong 005; Zi-Yi Dou; Danqing Wang; Xipeng Qiu; Xuanjing Huang 001 (CoRR, 2020)

Enhancing Scientific Papers Summarization with Citation Graph. - Chenxin An; Ming Zhong 005; Yiran Chen 013; Danqing Wang; Xipeng Qiu; Xuanjing Huang 001 (AAAI, 2021)

QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization. - Ming Zhong 005; Da Yin; Tao Yu 009; Ahmad Zaidi; Mutethia Mutuma; Rahul Jha; Ahmed Hassan Awadallah; Asli Celikyilmaz; Yang Liu 124; Xipeng Qiu; Dragomir R. Radev (NAACL-HLT, 2021)

RetrievalSum: A Retrieval Enhanced Framework for Abstractive Summarization. - Chenxin An; Ming Zhong 005; Zhichao Geng; Jianqiang Yang; Xipeng Qiu (CoRR, 2021)

DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization. - Ming Zhong 005; Yang Liu 124; Yichong Xu; Chenguang Zhu 001; Michael Zeng 001 (AAAI, 2022)

CoLo: A Contrastive Learning Based Re-ranking Framework for One-Stage Summarization. - Chenxin An; Ming Zhong 005; Zhiyong Wu 003; Qin Zhu; Xuanjing Huang 001; Xipeng Qiu (COLING, 2022)

Improving Abstractive Dialogue Summarization with Speaker-Aware Supervised Contrastive Learning. - Zhichao Geng; Ming Zhong 005; Zhangyue Yin; Xipeng Qiu; Xuanjing Huang 001 (COLING, 2022)

Open-Vocabulary Argument Role Prediction For Event Extraction. - Yizhu Jiao; Sha Li; Yiqing Xie; Ming Zhong 005; Heng Ji 001; Jiawei Han 001 (EMNLP (Findings), 2022)

CiteSum: Citation Text-guided Scientific Extreme Summarization and Domain Adaptation with Limited Supervision. - Yuning Mao; Ming Zhong 005; Jiawei Han 001 (EMNLP, 2022)

UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models. - Tianbao Xie; Chen Henry Wu; Peng Shi 010; Ruiqi Zhong; Torsten Scholak; Michihiro Yasunaga; Chien-Sheng Wu; Ming Zhong 005; Pengcheng Yin; Sida I. Wang; Victor Zhong; Bailin Wang; et al. (EMNLP, 2022)

Towards a Unified Multi-Dimensional Evaluator for Text Generation. - Ming Zhong 005; Yang Liu 005; Da Yin; Yuning Mao; Yizhu Jiao; Pengfei Liu 003; Chenguang Zhu 001; Heng Ji 001; Jiawei Han 001 (EMNLP, 2022)

Unsupervised Multi-Granularity Summarization. - Ming Zhong 005; Yang Liu 124; Suyu Ge; Yuning Mao; Yizhu Jiao; Xingxing Zhang; Yichong Xu; Chenguang Zhu 001; Michael Zeng 001; Jiawei Han 001 (EMNLP (Findings), 2022)

Unsupervised Summarization with Customized Granularities. - Ming Zhong 005; Yang Liu 124; Suyu Ge; Yuning Mao; Yizhu Jiao; Xingxing Zhang; Yichong Xu; Chenguang Zhu 001; Michael Zeng 001; Jiawei Han 001 (CoRR, 2022)

The Cross-lingual Conversation Summarization Challenge. - Yulong Chen 001; Ming Zhong 005; Xuefeng Bai 001; Naihao Deng; Jing Li; Xianchao Zhu; Yue Zhang 004 (CoRR, 2022)

CiteSum: Citation Text-guided Scientific Extreme Summarization and Low-resource Domain Adaptation. - Yuning Mao; Ming Zhong 005; Jiawei Han 001 (CoRR, 2022)

Towards a Unified Multi-Dimensional Evaluator for Text Generation. - Ming Zhong 005; Yang Liu 124; Da Yin; Yuning Mao; Yizhu Jiao; Pengfei Liu 003; Chenguang Zhu 001; Heng Ji 001; Jiawei Han 001 (CoRR, 2022)

Revisiting Cross-Lingual Summarization: A Corpus-based Study and A New Benchmark with Improved Annotation. - Yulong Chen 001; Huajian Zhang; Yijie Zhou; Xuefeng Bai 001; Yueguan Wang; Ming Zhong 005; Jianhao Yan; Yafu Li; Judy Li; Xianchao Zhu; Yue Zhang 004 (ACL (1), 2023)

ReactIE: Enhancing Chemical Reaction Extraction with Weak Supervision. - Ming Zhong 005; Siru Ouyang; Minhao Jiang; Vivian Hu; Yizhu Jiao; Xuan Wang 008; Jiawei Han 001 (ACL (Findings), 2023)

PREME: Preference-based Meeting Exploration through an Interactive Questionnaire. - Negar Arabzadeh; Ali Ahmadvand; Julia Kiseleva; Yang Liu 124; Ahmed Hassan Awadallah; Ming Zhong 005; Milad Shokouhi (EACL (Findings), 2023)

Reaction Miner: An Integrated System for Chemical Reaction Extraction from Textual Data. - Ming Zhong 005; Siru Ouyang; Yizhu Jiao; Priyanka Kargupta; Leo Luo; Yanzhen Shen; Bobby Zhou; Xianrui Zhong; Xuan Liu 009; Hongxiang Li; Jinfeng Xiao; Minhao Jiang; et al. (EMNLP (Demos), 2023)

Instruct and Extract: Instruction Tuning for On-Demand Information Extraction. - Yizhu Jiao; Ming Zhong 005; Sha Li; Ruining Zhao; Siru Ouyang; Heng Ji 001; Jiawei Han 001 (EMNLP, 2023)

The Shifted and The Overlooked: A Task-oriented Investigation of User-GPT Interactions. - Siru Ouyang; Shuohang Wang; Yang Liu; Ming Zhong 005; Yizhu Jiao; Dan Iter; Reid Pryzant; Chenguang Zhu 001; Heng Ji 001; Jiawei Han 001 (EMNLP, 2023)

Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation. - Da Yin; Xiao Liu; Fan Yin; Ming Zhong 005; Hritik Bansal; Jiawei Han 001; Kai-Wei Chang (EMNLP, 2023)

Unsupervised Event Chain Mining from Multiple Documents. - Yizhu Jiao; Ming Zhong 005; Jiaming Shen; Yunyi Zhang 001; Chao Zhang 014; Jiawei Han 001 (WWW, 2023)

Revisiting Cross-Lingual Summarization: A Corpus-based Study and A New Benchmark with Improved Annotation. - Yulong Chen 001; Huajian Zhang; Yijie Zhou; Xuefeng Bai 001; Yueguan Wang; Ming Zhong 005; Jianhao Yan; Yafu Li; Judy Li; Michael Zhu; Yue Zhang 004 (CoRR, 2023)

L-Eval: Instituting Standardized Evaluation for Long Context Language Models. - Chenxin An; Shansan Gong; Ming Zhong 005; Mukai Li; Jun Zhang 003; Lingpeng Kong; Xipeng Qiu (CoRR, 2023)

The Shifted and The Overlooked: A Task-oriented Investigation of User-GPT Interactions. - Siru Ouyang; Shuohang Wang; Yang Liu 124; Ming Zhong 005; Yizhu Jiao; Dan Iter; Reid Pryzant; Chenguang Zhu 001; Heng Ji 001; Jiawei Han 001 (CoRR, 2023)

L-Eval: Instituting Standardized Evaluation for Long Context Language Models. - Chenxin An; Shansan Gong; Ming Zhong 005; Xingjian Zhao; Mukai Li; Jun Zhang 003; Lingpeng Kong; Xipeng Qiu (ACL (1), 2024)

ActionIE: Action Extraction from Scientific Literature with Programming Languages. - Xianrui Zhong; Yufeng Du; Siru Ouyang; Ming Zhong 005; Tingfeng Luo; Qirong Ho; Hao Peng 009; Heng Ji 001; Jiawei Han 001 (ACL (1), 2024)

Temperature-Centric Investigation of Speculative Decoding with Knowledge Distillation. - Siru Ouyang; Shuohang Wang; Minhao Jiang; Ming Zhong 005; Donghan Yu; Jiawei Han 001; Yelong Shen (EMNLP (Findings), 2024)

Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective. - Ming Zhong 005; Chenxin An; Weizhu Chen; Jiawei Han 001; Pengcheng He (ICLR, 2024)

Automated Mining of Structured Knowledge from Text in the Era of Large Language Models. - Yunyi Zhang 001; Ming Zhong 005; Siru Ouyang; Yizhu Jiao; Sizhe Zhou; Linyi Ding; Jiawei Han 001 (KDD, 2024)

Investigating Data Contamination for Pre-training Language Models. - Minhao Jiang; Ken Ziyu Liu; Ming Zhong 005; Rylan Schaeffer; Siru Ouyang; Jiawei Han 001; Sanmi Koyejo (CoRR, 2024)

Investigating Instruction Tuning Large Language Models on Graphs. - Kerui Zhu; Bo-Wei Huang; Bowen Jin; Yizhu Jiao; Ming Zhong 005; Kevin Chang 001; Shou-De Lin; Jiawei Han 001 (CoRR, 2024)

See What LLMs Cannot Answer: A Self-Challenge Framework for Uncovering LLM Weaknesses. - Yulong Chen 001; Yang Liu 124; Jianhao Yan; Xuefeng Bai 001; Ming Zhong 005; Yinghao Yang; Ziyi Yang; Chenguang Zhu 001; Yue Zhang 004 (CoRR, 2024)

Multi-LoRA Composition for Image Generation. - Ming Zhong 005; Yelong Shen; Shuohang Wang; Yadong Lu; Yizhu Jiao; Siru Ouyang; Donghan Yu; Jiawei Han 001; Weizhu Chen (Trans. Mach. Learn. Res., 2024)

Law of the Weakest Link: Cross Capabilities of Large Language Models. - Ming Zhong 005; Aston Zhang; Xuewei Wang; Rui Hou; Wenhan Xiong; Chenguang Zhu 001; Zhengxing Chen; Liang Tan; Chloe Bi; Mike Lewis; Sravya Popuri; Sharan Narang; et al. (ICLR, 2025)

Why Does the Effective Context Length of LLMs Fall Short? - Chenxin An; Jun Zhang 003; Ming Zhong 005; Lei Li 039; Shansan Gong; Yao Luo; Jingjing Xu 001; Lingpeng Kong (ICLR, 2025)

Multimodal Search in Chemical Documents and Reactions. - Ayush Kumar Shah; Abhisek Dey; Leo Luo; Bryan Amador; Patrick Philippy; Ming Zhong 005; Siru Ouyang; David Mark Friday; David Bianchi; Nick Jackson; Richard Zanibbi; Jiawei Han 001 (SIGIR, 2025)

Retrieval and Structuring Augmented Generation with LLMs for Web Applications. - Yizhu Jiao; Siru Ouyang; Ming Zhong 005; Yunyi Zhang 001; Linyi Ding; Sizhe Zhou; Jiawei Han 001 (WWW (Companion Volume), 2025)

Preference Leakage: A Contamination Problem in LLM-as-a-judge. - Dawei Li 008; Renliang Sun; Yue Huang 001; Ming Zhong 005; Bohan Jiang; Jiawei Han 001; Xiangliang Zhang 001; Wei Wang 010; Huan Liu 001 (CoRR, 2025)