Extractive Summarization as Text Matching M Zhong, P Liu, Y Chen, D Wang, X Qiu, X Huang Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 508 | 2020 |
Heterogeneous Graph Neural Networks for Extractive Document Summarization D Wang, P Liu, Y Zheng, X Qiu, X Huang Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 319 | 2020 |
Searching for Effective Neural Extractive Summarization: What Works and What's Next M Zhong, P Liu, D Wang, X Qiu, X Huang Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 181 | 2019 |
A Closer Look at Data Bias in Neural Extractive Summarization Models M Zhong, D Wang, P Liu, X Qiu, X Huang Proceedings of the 2nd Workshop on New Frontiers in Summarization. 2019., 2019 | 47 | 2019 |
Enhancing scientific papers summarization with citation graph C An, M Zhong, Y Chen, D Wang, X Qiu, X Huang Proceedings of the AAAI conference on artificial intelligence 35 (14), 12498 …, 2021 | 43 | 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 | 42 | 2019 |
INSTRUCTSCORE: Explainable Text Generation Evaluation with Finegrained Feedback W Xu, D Wang, L Pan, Z Song, M Freitag, WY Wang, L Li arXiv preprint arXiv:2305.14282, 2023 | 41 | 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 Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 30 | 2020 |
Contrastive aligned joint learning for multilingual summarization D Wang, J Chen, H Zhou, X Qiu, L Li Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 …, 2021 | 29 | 2021 |
MTG: A Benchmark Suite for Multilingual Text Generation Y Chen, Z Song, X Wu, D Wang, J Xu, J Chen, H Zhou, L Li Findings of the Association for Computational Linguistics: NAACL 2022, 2021 | 23* | 2021 |
Algo: Synthesizing algorithmic programs with generated oracle verifiers K Zhang, D Wang, J Xia, WY Wang, L Li Advances in Neural Information Processing Systems 36, 54769-54784, 2023 | 19 | 2023 |
On Pre-training Language Model for Antibody D Wang, YE Fei, H Zhou The Eleventh International Conference on Learning Representations, 2023 | 13 | 2023 |
Learning from mistakes via cooperative study assistant for large language models D Wang, L Li arXiv preprint arXiv:2305.13829, 2023 | 11* | 2023 |
CNewSum: a large-scale summarization dataset with human-annotated adequacy and deducibility level D Wang, J Chen, X Wu, H Zhou, L Li Natural Language Processing and Chinese Computing: 10th CCF International …, 2021 | 11* | 2021 |
Learning personalized story evaluation D Wang, K Yang, H Zhu, X Yang, A Cohen, L Li, Y Tian arXiv preprint arXiv:2310.03304, 2023 | 8 | 2023 |
Accelerating Antimicrobial Peptide Discovery with Latent Structure D Wang, Z Wen, F Ye, L Li, H Zhou Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 4* | 2023 |
End-to-end Story Plot Generator H Zhu, A Cohen, D Wang, K Yang, X Yang, J Jiao, Y Tian arXiv preprint arXiv:2310.08796, 2023 | 2 | 2023 |
Global Human-guided Counterfactual Explanations for Molecular Properties via Reinforcement Learning D Wang, A Antoniades, KD Luong, E Zhang, M Kosan, J Li, A Singh, ... arXiv preprint arXiv:2406.13869, 2024 | | 2024 |
Generating Global Factual and Counterfactual Explainer for Molecule under Domain Constraints D Wang, A Antoniades, A Singh, L Li ICML 3rd Workshop on Interpretable Machine Learning in Healthcare (IMLH), 0 | | |