Ming Zhong

71 papers A* 16B 2Journal 39Unranked 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
Rethinking the Reranker: Boundary-Aware Evidence Selection for Robust Retrieval-Augmented Generation.
CoRR
Jiashuo Sun, Pengcheng Jiang, Saizhuo Wang, Jiajun Fan, Heng Wang, Siru Ouyang, Ming Zhong, Yizhu Jiao, Chengsong Huang, Xueqiang Xu, Pengrui Han, Peiran Li, Jiaxin Huang, Ge Liu, Heng Ji, Jiawei Han
2026 J jnl
Steer2Adapt: Dynamically Composing Steering Vectors Elicits Efficient Adaptation of LLMs.
CoRR
Pengrui Han, Xueqiang Xu, Keyang Xuan, Peiyang Song, Siru Ouyang, Runchu Tian, Yuqing Jiang, Cheng Qian, Pengcheng Jiang, Jiashuo Sun, Junxia Cui, Ming Zhong, Ge Liu, Jiawei Han, Jiaxuan You
2025 J jnl
A Survey on Retrieval And Structuring Augmented Generation with Large Language Models.
CoRR
Pengcheng Jiang, Siru Ouyang, Yizhu Jiao, Ming Zhong, Runchu Tian, Jiawei Han
2025 J jnl
Adaptation of Agentic AI.
CoRR
Pengcheng Jiang, Jiacheng Lin, Zhiyi Shi, Zifeng Wang, Luxi He, Yichen Wu, Ming Zhong, Peiyang Song, Qizheng Zhang, Heng Wang, Xueqiang Xu, Hanwen Xu, Pengrui Han, Dylan Zhang, Jiashuo Sun, Chaoqi Yang, Kun Qian, Tian Wang, Changran Hu, Manling Li, Quanzheng Li, Hao Peng, Sheng Wang, Jingbo Shang, Chao Zhang, Jiaxuan You, Liyuan Liu, Pan Lu, Yu Zhang, Heng Ji, Yejin Choi, Dawn Song, Jimeng Sun, Jiawei Han
2025 A* conf
Law of the Weakest Link: Cross Capabilities of Large Language Models.
ICLR
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
2025 A* conf
Long Chain-of-Thought Fine-tuning via Understanding-to-Reasoning Transition.
EMNLP
Chenxin An, Zhihui Xie, Xiaonan Li, Ming Zhong, Shansan Gong, Lei Li, Jun Zhang, Jingjing Xu, Lingpeng Kong
2025 A* conf
Multimodal Search in Chemical Documents and Reactions.
SIGIR
Ayush Kumar Shah, Abhisek Dey, Leo Luo, Bryan Amador, Patrick Philippy, Ming Zhong, Siru Ouyang, David Mark Friday, David Bianchi, Nick Jackson, Richard Zanibbi, Jiawei Han
2025 J jnl
Multimodal Search in Chemical Documents and Reactions.
CoRR
Ayush Kumar Shah, Abhisek Dey, Leo Luo, Bryan Amador, Patrick Philippy, Ming Zhong, Siru Ouyang, David Mark Friday, David Bianchi, Nick Jackson, Richard Zanibbi, Jiawei Han
2025 J jnl
Preference Leakage: A Contamination Problem in LLM-as-a-judge.
CoRR
Dawei Li, Renliang Sun, Yue Huang, Ming Zhong, Bohan Jiang, Jiawei Han, Xiangliang Zhang, Wei Wang, Huan Liu
2025 — conf
Retrieval And Structuring Augmented Generation with Large Language Models.
KDD (2)
Pengcheng Jiang, Siru Ouyang, Yizhu Jiao, Ming Zhong, Runchu Tian, Jiawei Han
2025 — conf
Retrieval and Structuring Augmented Generation with LLMs for Web Applications.
WWW (Companion Volume)
Yizhu Jiao, Siru Ouyang, Ming Zhong, Yunyi Zhang, Linyi Ding, Sizhe Zhou, Jiawei Han
2025 J jnl
Vibe Checker: Aligning Code Evaluation with Human Preference.
CoRR
Ming Zhong, Xiang Zhou, Ting-Yun Chang, Qingze Wang, Nan Xu, Xiance Si, Dan Garrette, Shyam Upadhyay, Jeremiah Liu, Jiawei Han, Benoit Schillings, Jiao Sun
2025 A* conf
Why Does the Effective Context Length of LLMs Fall Short?
ICLR
Chenxin An, Jun Zhang, Ming Zhong, Lei Li, Shansan Gong, Yao Luo, Jingjing Xu, Lingpeng Kong
2024 — conf
ActionIE: Action Extraction from Scientific Literature with Programming Languages.
ACL (1)
Xianrui Zhong, Yufeng Du, Siru Ouyang, Ming Zhong, Tingfeng Luo, Qirong Ho, Hao Peng, Heng Ji, Jiawei Han
2024 A* conf
Automated Mining of Structured Knowledge from Text in the Era of Large Language Models.
KDD
Yunyi Zhang, Ming Zhong, Siru Ouyang, Yizhu Jiao, Sizhe Zhou, Linyi Ding, Jiawei Han
2024 J jnl
Investigating Data Contamination for Pre-training Language Models.
CoRR
Minhao Jiang, Ken Ziyu Liu, Ming Zhong, Rylan Schaeffer, Siru Ouyang, Jiawei Han, Sanmi Koyejo
2024 J jnl
Investigating Instruction Tuning Large Language Models on Graphs.
CoRR
Kerui Zhu, Bo-Wei Huang, Bowen Jin, Yizhu Jiao, Ming Zhong, Kevin Chang, Shou-De Lin, Jiawei Han
2024 — conf
L-Eval: Instituting Standardized Evaluation for Long Context Language Models.
ACL (1)
Chenxin An, Shansan Gong, Ming Zhong, Xingjian Zhao, Mukai Li, Jun Zhang, Lingpeng Kong, Xipeng Qiu
2024 J jnl
Law of the Weakest Link: Cross Capabilities of Large Language Models.
CoRR
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
2024 J jnl
Multi-LoRA Composition for Image Generation.
CoRR
Ming Zhong, Yelong Shen, Shuohang Wang, Yadong Lu, Yizhu Jiao, Siru Ouyang, Donghan Yu, Jiawei Han, Weizhu Chen
2024 J jnl
Multi-LoRA Composition for Image Generation.
Trans. Mach. Learn. Res.
Ming Zhong, Yelong Shen, Shuohang Wang, Yadong Lu, Yizhu Jiao, Siru Ouyang, Donghan Yu, Jiawei Han, Weizhu Chen
2024 J jnl
See What LLMs Cannot Answer: A Self-Challenge Framework for Uncovering LLM Weaknesses.
CoRR
Yulong Chen, Yang Liu, Jianhao Yan, Xuefeng Bai, Ming Zhong, Yinghao Yang, Ziyi Yang, Chenguang Zhu, Yue Zhang
2024 A* conf
Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective.
ICLR
Ming Zhong, Chenxin An, Weizhu Chen, Jiawei Han, Pengcheng He
2024 — conf
Temperature-Centric Investigation of Speculative Decoding with Knowledge Distillation.
EMNLP (Findings)
Siru Ouyang, Shuohang Wang, Minhao Jiang, Ming Zhong, Donghan Yu, Jiawei Han, Yelong Shen
2024 J jnl
Temperature-Centric Investigation of Speculative Decoding with Knowledge Distillation.
CoRR
Siru Ouyang, Shuohang Wang, Minhao Jiang, Ming Zhong, Donghan Yu, Jiawei Han, Yelong Shen
2024 J jnl
Why Does the Effective Context Length of LLMs Fall Short?
CoRR
Chenxin An, Jun Zhang, Ming Zhong, Lei Li, Shansan Gong, Yao Luo, Jingjing Xu, Lingpeng Kong
2023 A* conf
Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation.
EMNLP
Da Yin, Xiao Liu, Fan Yin, Ming Zhong, Hritik Bansal, Jiawei Han, Kai-Wei Chang
2023 J jnl
Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation.
CoRR
Da Yin, Xiao Liu, Fan Yin, Ming Zhong, Hritik Bansal, Jiawei Han, Kai-Wei Chang
2023 A* conf
Instruct and Extract: Instruction Tuning for On-Demand Information Extraction.
EMNLP
Yizhu Jiao, Ming Zhong, Sha Li, Ruining Zhao, Siru Ouyang, Heng Ji, Jiawei Han
2023 J jnl
Instruct and Extract: Instruction Tuning for On-Demand Information Extraction.
CoRR
Yizhu Jiao, Ming Zhong, Sha Li, Ruining Zhao, Siru Ouyang, Heng Ji, Jiawei Han
2023 J jnl
L-Eval: Instituting Standardized Evaluation for Long Context Language Models.
CoRR
Chenxin An, Shansan Gong, Ming Zhong, Mukai Li, Jun Zhang, Lingpeng Kong, Xipeng Qiu
2023 — conf
PREME: Preference-based Meeting Exploration through an Interactive Questionnaire.
EACL (Findings)
Negar Arabzadeh, Ali Ahmadvand, Julia Kiseleva, Yang Liu, Ahmed Hassan Awadallah, Ming Zhong, Milad Shokouhi
2023 — conf
ReactIE: Enhancing Chemical Reaction Extraction with Weak Supervision.
ACL (Findings)
Ming Zhong, Siru Ouyang, Minhao Jiang, Vivian Hu, Yizhu Jiao, Xuan Wang, Jiawei Han
2023 J jnl
ReactIE: Enhancing Chemical Reaction Extraction with Weak Supervision.
CoRR
Ming Zhong, Siru Ouyang, Minhao Jiang, Vivian Hu, Yizhu Jiao, Xuan Wang, Jiawei Han
2023 — conf
Reaction Miner: An Integrated System for Chemical Reaction Extraction from Textual Data.
EMNLP (Demos)
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
2023 — conf
Revisiting Cross-Lingual Summarization: A Corpus-based Study and A New Benchmark with Improved Annotation.
ACL (1)
Yulong Chen, Huajian Zhang, Yijie Zhou, Xuefeng Bai, Yueguan Wang, Ming Zhong, Jianhao Yan, Yafu Li, Judy Li, Xianchao Zhu, Yue Zhang
2023 J jnl
Revisiting Cross-Lingual Summarization: A Corpus-based Study and A New Benchmark with Improved Annotation.
CoRR
Yulong Chen, Huajian Zhang, Yijie Zhou, Xuefeng Bai, Yueguan Wang, Ming Zhong, Jianhao Yan, Yafu Li, Judy Li, Michael Zhu, Yue Zhang
2023 J jnl
Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective.
CoRR
Ming Zhong, Chenxin An, Weizhu Chen, Jiawei Han, Pengcheng He
2023 A* conf
The Shifted and The Overlooked: A Task-oriented Investigation of User-GPT Interactions.
EMNLP
Siru Ouyang, Shuohang Wang, Yang Liu, Ming Zhong, Yizhu Jiao, Dan Iter, Reid Pryzant, Chenguang Zhu, Heng Ji, Jiawei Han
2023 J jnl
The Shifted and The Overlooked: A Task-oriented Investigation of User-GPT Interactions.
CoRR
Siru Ouyang, Shuohang Wang, Yang Liu, Ming Zhong, Yizhu Jiao, Dan Iter, Reid Pryzant, Chenguang Zhu, Heng Ji, Jiawei Han
2023 A* conf
Unsupervised Event Chain Mining from Multiple Documents.
WWW
Yizhu Jiao, Ming Zhong, Jiaming Shen, Yunyi Zhang, Chao Zhang, Jiawei Han
2022 J jnl
COLO: A Contrastive Learning based Re-ranking Framework for One-Stage Summarization.
CoRR
Chenxin An, Ming Zhong, Zhiyong Wu, Qin Zhu, Xuanjing Huang, Xipeng Qiu
2022 A* conf
CiteSum: Citation Text-guided Scientific Extreme Summarization and Domain Adaptation with Limited Supervision.
EMNLP
Yuning Mao, Ming Zhong, Jiawei Han
2022 J jnl
CiteSum: Citation Text-guided Scientific Extreme Summarization and Low-resource Domain Adaptation.
CoRR
Yuning Mao, Ming Zhong, Jiawei Han
2022 B conf
CoLo: A Contrastive Learning Based Re-ranking Framework for One-Stage Summarization.
COLING
Chenxin An, Ming Zhong, Zhiyong Wu, Qin Zhu, Xuanjing Huang, Xipeng Qiu
2022 A* conf
DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization.
AAAI
Ming Zhong, Yang Liu, Yichong Xu, Chenguang Zhu, Michael Zeng
2022 B conf
Improving Abstractive Dialogue Summarization with Speaker-Aware Supervised Contrastive Learning.
COLING
Zhichao Geng, Ming Zhong, Zhangyue Yin, Xipeng Qiu, Xuanjing Huang
2022 — conf
Open-Vocabulary Argument Role Prediction For Event Extraction.
EMNLP (Findings)
Yizhu Jiao, Sha Li, Yiqing Xie, Ming Zhong, Heng Ji, Jiawei Han
2022 J jnl
Open-Vocabulary Argument Role Prediction for Event Extraction.
CoRR
Yizhu Jiao, Sha Li, Yiqing Xie, Ming Zhong, Heng Ji, Jiawei Han
2022 J jnl
PREME: Preference-based Meeting Exploration through an Interactive Questionnaire.
CoRR
Negar Arabzadeh, Ali Ahmadvand, Julia Kiseleva, Yang Liu, Ahmed Hassan Awadallah, Ming Zhong, Milad Shokouhi
2022 J jnl
The Cross-lingual Conversation Summarization Challenge.
CoRR
Yulong Chen, Ming Zhong, Xuefeng Bai, Naihao Deng, Jing Li, Xianchao Zhu, Yue Zhang
2022 A* conf
Towards a Unified Multi-Dimensional Evaluator for Text Generation.
EMNLP
Ming Zhong, Yang Liu, Da Yin, Yuning Mao, Yizhu Jiao, Pengfei Liu, Chenguang Zhu, Heng Ji, Jiawei Han
2022 J jnl
Towards a Unified Multi-Dimensional Evaluator for Text Generation.
CoRR
Ming Zhong, Yang Liu, Da Yin, Yuning Mao, Yizhu Jiao, Pengfei Liu, Chenguang Zhu, Heng Ji, Jiawei Han
2022 A* conf
UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models.
EMNLP
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
2022 J jnl
UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models.
CoRR
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 R. Radev, Caiming Xiong, Lingpeng Kong, Rui Zhang, Noah A. Smith, Luke Zettlemoyer, Tao Yu
2022 — conf
Unsupervised Multi-Granularity Summarization.
EMNLP (Findings)
Ming Zhong, Yang Liu, Suyu Ge, Yuning Mao, Yizhu Jiao, Xingxing Zhang, Yichong Xu, Chenguang Zhu, Michael Zeng, Jiawei Han
2022 J jnl
Unsupervised Summarization with Customized Granularities.
CoRR
Ming Zhong, Yang Liu, Suyu Ge, Yuning Mao, Yizhu Jiao, Xingxing Zhang, Yichong Xu, Chenguang Zhu, Michael Zeng, Jiawei Han
2021 J jnl
DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization.
CoRR
Ming Zhong, Yang Liu, Yichong Xu, Chenguang Zhu, Michael Zeng
2021 A* conf
Enhancing Scientific Papers Summarization with Citation Graph.
AAAI
Chenxin An, Ming Zhong, Yiran Chen, Danqing Wang, Xipeng Qiu, Xuanjing Huang
2021 J jnl
Enhancing Scientific Papers Summarization with Citation Graph.
CoRR
Chenxin An, Ming Zhong, Yiran Chen, Danqing Wang, Xipeng Qiu, Xuanjing Huang
2021 — conf
QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization.
NAACL-HLT
Ming Zhong, Da Yin, Tao Yu, Ahmad Zaidi, Mutethia Mutuma, Rahul Jha, Ahmed Hassan Awadallah, Asli Celikyilmaz, Yang Liu, Xipeng Qiu, Dragomir R. Radev
2021 J jnl
QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization.
CoRR
Ming Zhong, Da Yin, Tao Yu, Ahmad Zaidi, Mutethia Mutuma, Rahul Jha, Ahmed Hassan Awadallah, Asli Celikyilmaz, Yang Liu, Xipeng Qiu, Dragomir R. Radev
2021 J jnl
RetrievalSum: A Retrieval Enhanced Framework for Abstractive Summarization.
CoRR
Chenxin An, Ming Zhong, Zhichao Geng, Jianqiang Yang, Xipeng Qiu
2020 — conf
An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems.
EMNLP (Findings)
Yiran Chen, Pengfei Liu, Ming Zhong, Zi-Yi Dou, Danqing Wang, Xipeng Qiu, Xuanjing Huang
2020 J jnl
CDEvalSumm: An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems.
CoRR
Yiran Chen, Pengfei Liu, Ming Zhong, Zi-Yi Dou, Danqing Wang, Xipeng Qiu, Xuanjing Huang
2020 A* conf
Extractive Summarization as Text Matching.
ACL
Ming Zhong, Pengfei Liu, Yiran Chen, Danqing Wang, Xipeng Qiu, Xuanjing Huang
2020 J jnl
Extractive Summarization as Text Matching.
CoRR
Ming Zhong, Pengfei Liu, Yiran Chen, Danqing Wang, Xipeng Qiu, Xuanjing Huang
2019 J jnl
A Closer Look at Data Bias in Neural Extractive Summarization Models.
CoRR
Ming Zhong, Danqing Wang, Pengfei Liu, Xipeng Qiu, Xuanjing Huang
2019 J jnl
Exploring Domain Shift in Extractive Text Summarization.
CoRR
Danqing Wang, Pengfei Liu, Ming Zhong, Jie Fu, Xipeng Qiu, Xuanjing Huang
2019 — conf
Searching for Effective Neural Extractive Summarization: What Works and What's Next.
ACL (1)
Ming Zhong, Pengfei Liu, Danqing Wang, Xipeng Qiu, Xuanjing Huang
2019 J jnl
Searching for Effective Neural Extractive Summarization: What Works and What's Next.
CoRR
Ming Zhong, Pengfei Liu, Danqing Wang, Xipeng Qiu, Xuanjing Huang