| DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset Y Li, H Su, X Shen, W Li, Z Cao, S Niu Proceedings of the Eighth International Joint Conference on Natural Language …, 2017 | 1506 | 2017 |
| A Conditional Variational Framework for Dialog Generation X Shen, H Su, Y Li, W Li, S Niu, Y Zhao, A Aizawa, G Long Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017 | 153 | 2017 |
| Improving variational encoder-decoders in dialogue generation X Shen, H Su, S Niu, V Demberg Thirty-Second AAAI Conference on Artificial Intelligence, 2018 | 138 | 2018 |
| Improving Multi-turn Dialogue Modelling with Utterance ReWriter H Su, X Shen, R Zhang, F Sun, P Hu, C Niu, J Zhou Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 123 | 2019 |
| Logical Fallacy Detection Z Jin, A Lalwani, T Vaidhya, X Shen, Y Ding, Z Lyu, M Sachan, ... Findings of the Association for Computational Linguistics: EMNLP 2022, 2022 | 77 | 2022 |
| Disc-lawllm: Fine-tuning large language models for intelligent legal services S Yue, W Chen, S Wang, B Li, C Shen, S Liu, Y Zhou, Y Xiao, S Yun, ... arXiv preprint arXiv:2309.11325, 2023 | 76 | 2023 |
| LawBench: Benchmarking Legal Knowledge of Large Language Models Z Fei, X Shen, D Zhu, F Zhou, Z Han, S Zhang, K Chen, Z Shen, J Ge arXiv preprint arXiv:2309.16289, 2023 | 72 | 2023 |
| EasyAug: An Automatic Textual Data Augmentation Platform for Classification Tasks S Qiu, B Xu, J Zhang, Y Wang, X Shen, G de Melo, C Long, X Li Companion Proceedings of the Web Conference 2020, 249-252, 2020 | 69 | 2020 |
| A survey on legal judgment prediction: Datasets, metrics, models and challenges J Cui, X Shen, S Wen IEEE Access, 2023 | 65 | 2023 |
| Diversifying Dialogue Generation with Non-Conversational Text H Su, X Shen, S Zhao, X Zhou, P Hu, R Zhong, C Niu, J Zhou Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 64 | 2020 |
| Neural Data-to-Text Generation via Jointly Learning the Segmentation and Correspondence X Shen, E Chang, H Su, J Zhou, D Klakow Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 64 | 2020 |
| AST-trans: code summarization with efficient tree-structured attention Z Tang, X Shen, C Li, J Ge, L Huang, Z Zhu, B Luo Proceedings of the 44th International Conference on Software Engineering …, 2022 | 59 | 2022 |
| A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translation D Ifeoluwa Adelani, J Oluwadara Alabi, A Fan, J Kreutzer, X Shen, M Reid, ... Proceedings of the 2022 Conference of the North American Chapter of the …, 2022 | 59* | 2022 |
| Neural Data-to-Text Generation with LM-based Text Augmentation E Chang, X Shen, D Zhu, V Demberg, H Su Proceedings of the 16th Conference of the European Chapter of the …, 2021 | 51 | 2021 |
| SIB-200: A Simple, Inclusive, and Big Evaluation Dataset for Topic Classification in 200+ Languages and Dialects DI Adelani, H Liu, X Shen, N Vassilyev, JO Alabi, Y Mao, H Gao, AES Lee arXiv preprint arXiv:2309.07445, 2023 | 40 | 2023 |
| On Training Instance Selection for Few-Shot Neural Text Generation E Chang, X Shen, HS Yeh, V Demberg Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 39 | 2021 |
| Nexus Network: Connecting the Preceding and the Following in Dialogue Generation X Shen, H Su, W Li, D Klakow Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 39 | 2018 |
| Select and Attend: Towards Controllable Content Selection in Text Generation X Shen, J Suzuki, K Inui, H Su, D Klakow, S Sekine Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 38 | 2019 |
| MovieChats: Chat like Humans in a Closed Domain H Su, X Shen, Z Xiao, Z Zhang, E Chang, C Zhang, C Niu, J Zhou Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 37 | 2020 |
| Improving latent alignment in text summarization by generalizing the pointer generator X Shen, Y Zhao, H Su, D Klakow Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 36 | 2019 |
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