| Encouraging divergent thinking in large language models through multi-agent debate T Liang, Z He, W Jiao, X Wang, Y Wang, R Wang, Y Yang, S Shi, Z Tu Proceedings of the 2024 conference on empirical methods in natural language …, 2024 | 860 | 2024 |
| Deep neural solver for math word problems Y Wang, X Liu, S Shi Proceedings of the 2017 conference on empirical methods in natural language …, 2017 | 493 | 2017 |
| Pandagpt: One model to instruction-follow them all Y Su, T Lan, H Li, J Xu, Y Wang, D Cai arXiv preprint arXiv:2305.16355, 2023 | 432 | 2023 |
| A survey on retrieval-augmented text generation H Li, Y Su, D Cai, Y Wang, L Liu arXiv preprint arXiv:2202.01110, 2022 | 343* | 2022 |
| A contrastive framework for neural text generation Y Su, T Lan, Y Wang, D Yogatama, L Kong, N Collier Advances in Neural Information Processing Systems 35, 21548-21561, 2022 | 329 | 2022 |
| Graph-to-tree learning for solving math word problems J Zhang, L Wang, RKW Lee, Y Bin, Y Wang, J Shao, EP Lim Proceedings of the 58th annual meeting of the association for computational …, 2020 | 252 | 2020 |
| Translating a math word problem to an expression tree L Wang, Y Wang, D Cai, D Zhang, X Liu arXiv preprint arXiv:1811.05632, 2018 | 224 | 2018 |
| BoB: BERT over BERT for training persona-based dialogue models from limited personalized data H Song, Y Wang, K Zhang, W Zhang, T Liu Proceedings of the 59th annual meeting of the association for computational …, 2021 | 160 | 2021 |
| Language models can see: Plugging visual controls in text generation Y Su, T Lan, Y Liu, F Liu, D Yogatama, Y Wang, L Kong, N Collier arXiv preprint arXiv:2205.02655, 2022 | 152* | 2022 |
| Modeling intra-relation in math word problems with different functional multi-head attentions J Li, L Wang, J Zhang, Y Wang, BT Dai, D Zhang Association for Computational Linguistics, 2019 | 137 | 2019 |
| Neural machine translation with monolingual translation memory D Cai, Y Wang, H Li, W Lam, L Liu arXiv preprint arXiv:2105.11269, 2021 | 131 | 2021 |
| Large language models meet harry potter: A dataset for aligning dialogue agents with characters N Chen, Y Wang, H Jiang, D Cai, Y Li, Z Chen, L Wang, J Li Findings of the association for computational linguistics: EMNLP 2023, 8506-8520, 2023 | 119* | 2023 |
| Skeleton-to-response: Dialogue generation guided by retrieval memory D Cai, Y Wang, V Bi, Z Tu, X Liu, W Lam, S Shi Proceedings of NAACL-HLT, 2019 | 114* | 2019 |
| Recent advances in retrieval-augmented text generation D Cai, Y Wang, L Liu, S Shi Proceedings of the 45th international ACM SIGIR conference on research and …, 2022 | 110 | 2022 |
| Generate, delete and rewrite: A three-stage framework for improving persona consistency of dialogue generation H Song, Y Wang, W Zhang, X Liu, T Liu Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 105 | 2020 |
| Retrieval-guided dialogue response generation via a matching-to-generation framework D Cai, Y Wang, W Bi, Z Tu, X Liu, S Shi Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 100 | 2019 |
| Mwptoolkit: An open-source framework for deep learning-based math word problem solvers Y Lan, L Wang, Q Zhang, Y Lan, BT Dai, Y Wang, D Zhang, EP Lim Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 13188 …, 2022 | 85* | 2022 |
| Improving open-domain dialogue systems via multi-turn incomplete utterance restoration Z Pan, K Bai, Y Wang, L Zhou, X Liu Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 73 | 2019 |
| Non-autoregressive text generation with pre-trained language models Y Su, D Cai, Y Wang, D Vandyke, S Baker, P Li, N Collier arXiv preprint arXiv:2102.08220, 2021 | 61 | 2021 |
| The oscars of ai theater: A survey on role-playing with language models N Chen, Y Wang, Y Deng, J Li arXiv preprint arXiv:2407.11484, 2024 | 56 | 2024 |
Deng CAIThe Chinese University of Hong KongVerified email at se.cuhk.edu.hk
