Extractive Summarization as Text Matching M Zhong, P Liu, Y Chen, D Wang, X Qiu, X Huang ACL 2020, 2020 | 498 | 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 | 257* | 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 | 217 | 2021 |
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 | 179 | 2019 |
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 | 136 | 2022 |
DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization M Zhong, Y Liu, Y Xu, C Zhu, M Zeng AAAI 2022, 2022 | 106 | 2022 |
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 | 47 | 2019 |
L-Eval: Instituting Standardized Evaluation for Long Context Language Models C An, S Gong, M Zhong, M Li, J Zhang, L Kong, X Qiu arXiv preprint arXiv:2307.11088, 2023 | 42* | 2023 |
Enhancing Scientific Papers Summarization with Citation Graph C An, M Zhong, Y Chen, D Wang, X Qiu, X Huang AAAI 2021, 2021 | 42 | 2021 |
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 | 41 | 2019 |
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 | 29 | 2020 |
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 | 25 | 2023 |
Retrievalsum: A retrieval enhanced framework for abstractive summarization C An, M Zhong, Z Geng, J Yang, X Qiu arXiv preprint arXiv:2109.07943, 2021 | 22 | 2021 |
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 | 17* | 2022 |
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 | 17 | 2022 |
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 | 13 | 2023 |
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 | 12 | 2024 |
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 | 12 | 2023 |
Open-Vocabulary Argument Role Prediction for Event Extraction Y Jiao, S Li, Y Xie, M Zhong, H Ji, J Han EMNLP 2022 Findings, 2022 | 12 | 2022 |
CiteSum: Citation Text-guided Scientific Extreme Summarization and Domain Adaptation with Limited Supervision Y Mao, M Zhong, J Han EMNLP 2022, 10922-10935, 2022 | 10 | 2022 |