| Extractive Summarization as Text Matching M Zhong, P Liu, Y Chen, D Wang, X Qiu, X Huang ACL 2020, 2020 | 571 | 2020 |
| UnifiedSKG: Unifying and Multi-tasking Structured Knowledge Grounding with Text-to-Text Language Models T Xie, CH Wu, P Shi, R Zhong, T Scholak, M Yasunaga, CS Wu, M Zhong, ... EMNLP 2022, 2022 | 323* | 2022 |
| QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization M Zhong, D Yin, T Yu, A Zaidi, M Mutuma, R Jha, AH Awadallah, ... NAACL 2021, 2021 | 303 | 2021 |
| Towards a Unified Multi-Dimensional Evaluator for Text Generation M Zhong, Y Liu, D Yin, Y Mao, Y Jiao, P Liu, C Zhu, H Ji, J Han EMNLP 2022, 2022 | 221 | 2022 |
| Searching for Effective Neural Extractive Summarization: What Works and What's Next M Zhong, P Liu, D Wang, X Qiu, X Huang ACL 2019, 2019 | 198 | 2019 |
| DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization M Zhong, Y Liu, Y Xu, C Zhu, M Zeng AAAI 2022, 2022 | 140 | 2022 |
| L-Eval: Instituting Standardized Evaluation for Long Context Language Models C An, S Gong, M Zhong, M Li, J Zhang, L Kong, X Qiu ACL 2024, 2024 | 127* | 2024 |
| Enhancing Scientific Papers Summarization with Citation Graph C An, M Zhong, Y Chen, D Wang, X Qiu, X Huang AAAI 2021, 2021 | 50 | 2021 |
| A Closer Look at Data Bias in Neural Extractive Summarization Models M Zhong, D Wang, P Liu, X Qiu, X Huang EMNLP 2019 Workshop on New Frontiers in Summarization, 2019 | 48 | 2019 |
| Investigating Data Contamination for Pre-training Language Models M Jiang, KZ Liu, M Zhong, R Schaeffer, S Ouyang, J Han, S Koyejo arXiv preprint arXiv:2401.06059, 2024 | 47* | 2024 |
| Exploring Domain Shift in Extractive Text Summarization D Wang, P Liu, M Zhong, J Fu, X Qiu, X Huang arXiv preprint arXiv:1908.11664, 2019 | 43 | 2019 |
| Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation D Yin, X Liu, F Yin, M Zhong, H Bansal, J Han, KW Chang EMNLP 2023, 2023 | 39 | 2023 |
| CDEvalSumm: An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems Y Chen, P Liu, M Zhong, ZY Dou, D Wang, X Qiu, X Huang EMNLP 2020 Findings, 2020 | 30 | 2020 |
| Multi-LoRA Composition for Image Generation M Zhong, Y Shen, S Wang, Y Lu, Y Jiao, S Ouyang, D Yu, J Han, W Chen arXiv preprint arXiv:2402.16843, 2024 | 28 | 2024 |
| RetrievalSum: A Retrieval Enhanced Framework for Abstractive Summarization C An, M Zhong, Z Geng, J Yang, X Qiu arXiv preprint arXiv:2109.07943, 2021 | 27 | 2021 |
| The Shifted and the Overlooked: A Task-Oriented Investigation of User-GPT Interactions S Ouyang, S Wang, Y Liu, M Zhong, Y Jiao, D Iter, R Pryzant, C Zhu, H Ji, ... EMNLP 2023, 2023 | 24 | 2023 |
| COLO: A Contrastive Learning based Re-ranking Framework for One-Stage Summarization C An, M Zhong, Z Wu, Q Zhu, X Huang, X Qiu COLING 2022, 2022 | 24 | 2022 |
| Instruct and Extract: Instruction Tuning for On-Demand Information Extraction Y Jiao, M Zhong, S Li, R Zhao, S Ouyang, H Ji, J Han EMNLP 2023, 2023 | 22 | 2023 |
| Unsupervised Multi-Granularity Summarization M Zhong, Y Liu, S Ge, Y Mao, Y Jiao, X Zhang, Y Xu, C Zhu, M Zeng, ... EMNLP 2022 Findings, 4980-4995, 2022 | 18* | 2022 |
| Open-Vocabulary Argument Role Prediction for Event Extraction Y Jiao, S Li, Y Xie, M Zhong, H Ji, J Han EMNLP 2022 Findings, 2022 | 17 | 2022 |
Jiawei HanAbel Bliss Professor of Computer Science, University of Illinoiscs.uiuc.edu의 이메일 확인됨