Theo dõi
Ming Zhong
Ming Zhong
University of Illinois Urbana-Champaign
Email được xác minh tại illinois.edu - Trang chủ
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
Extractive Summarization as Text Matching
M Zhong, P Liu, Y Chen, D Wang, X Qiu, X Huang
ACL 2020, 2020
5742020
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
320*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
3172021
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
2252022
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
1982019
DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization
M Zhong, Y Liu, Y Xu, C Zhu, M Zeng
AAAI 2022, 2022
1442022
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
136*2024
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
52*2024
Enhancing Scientific Papers Summarization with Citation Graph
C An, M Zhong, Y Chen, D Wang, X Qiu, X Huang
AAAI 2021, 2021
512021
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
472019
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
452019
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
372023
Multi-LoRA Composition for Image Generation
M Zhong, Y Shen, S Wang, Y Lu, Y Jiao, S Ouyang, D Yu, J Han, W Chen
TMLR, 2024
342024
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
302023
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
302020
CiteSum: Citation Text-guided Scientific Extreme Summarization and Domain Adaptation with Limited Supervision
Y Mao, M Zhong, J Han
EMNLP 2022, 10922-10935, 2022
27*2022
RetrievalSum: A Retrieval Enhanced Framework for Abstractive Summarization
C An, M Zhong, Z Geng, J Yang, X Qiu
arXiv preprint arXiv:2109.07943, 2021
272021
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
252023
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
252022
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
19*2022
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