| Investigating typed syntactic dependencies for targeted sentiment classification using graph attention neural network X Bai, P Liu, Y Zhang IEEE/ACM Transactions on Audio, Speech, and Language Processing 29, 503-514, 2020 | 130* | 2020 |
| Graph pre-training for AMR parsing and generation X Bai, Y Chen, Y Zhang ACL2022, 6001-6015, 2022 | 108 | 2022 |
| Semantic representation for dialogue modeling X Bai, Y Chen, L Song, Y Zhang ACL2021, 4430–4445, 2021 | 64 | 2021 |
| Online back-parsing for AMR-to-text generation X Bai, L Song, Y Zhang EMNLP2020, 1206–1219, 2020 | 19 | 2020 |
| A survey on human preference learning for large language models R Jiang, K Chen, X Bai, Z He, J Li, M Yang, T Zhao, L Nie, M Zhang arXiv preprint arXiv:2406.11191, 2024 | 13 | 2024 |
| A bilingual adversarial autoencoder for unsupervised bilingual lexicon induction X Bai, H Cao, K Chen, T Zhao IEEE/ACM Transactions on Audio, Speech, and Language Processing (2019) 27 …, 2019 | 13 | 2019 |
| Investigating forgetting in pre-trained representations through continual learning Y Luo, Z Yang, X Bai, F Meng, J Zhou, Y Zhang arXiv preprint arXiv:2305.05968, 2023 | 11 | 2023 |
| DUAL-REFLECT: Enhancing Large Language Models for Reflective Translation through Dual Learning Feedback Mechanisms A Chen, L Lou, K Chen, X Bai, Y Xiang, M Yang, T Zhao, M Zhang ACL2024, 2024 | 10 | 2024 |
| Constituency parsing using LLMs X Bai, J Wu, Y Chen, Z Wang, Y Zhang arXiv preprint arXiv:2310.19462, 2023 | 9 | 2023 |
| Semantic-based pre-training for dialogue understanding X Bai, L Song, Y Zhang COLING2022, 2022 | 8 | 2022 |
| The cross-lingual conversation summarization challenge Y Chen, M Zhong, X Bai, N Deng, J Li, X Zhu, Y Zhang 15th International Natural Language Generation Conference (INLG 2022), 2022 | 8 | 2022 |
| Improving vector space word representations via kernel canonical correlation analysis X Bai, H Cao, T Zhao ACM Transactions on Asian and Low-Resource Language Information Processing …, 2018 | 8 | 2018 |
| Revisiting cross-lingual summarization: a corpus-based study and a new benchmark with improved annotation Y Chen, H Zhang, Y Zhou, X Bai, Y Wang, M Zhong, J Yan, Y Li, J Li, ... ACL2023, 2023 | 7 | 2023 |
| Benchmarking llms for translating classical chinese poetry: Evaluating adequacy, fluency, and elegance A Chen, L Lou, K Chen, X Bai, Y Xiang, M Yang, T Zhao, M Zhang arXiv preprint arXiv:2408.09945, 2024 | 6 | 2024 |
| Paying More Attention to Source Context: Mitigating Unfaithful Translations from Large Language Model H Zhang, K Chen, X Bai, Y Xiang, M Zhang ACL2024, 2024 | 6 | 2024 |
| See What LLMs Cannot Answer: A Self-Challenge Framework for Uncovering LLM Weaknesses Y Chen, Y Liu, J Yan, X Bai, M Zhong, Y Yang, Z Yang, C Zhu, Y Zhang COLM2024, 2024 | 5 | 2024 |
| Exploiting abstract meaning representation for open-domain question answering C Wang, Z Xu, Q Guo, X Hu, X Bai, Z Zhang, Y Zhang ACL2023 Findings, 2023 | 5 | 2023 |
| Cross-domain generalization for AMR parsing X Bai, S Yang, L Cui, L Song, Y Zhang EMNLP2022, 2022 | 4 | 2022 |
| TF-Attack: Transferable and fast adversarial attacks on large language models Z Li, K Chen, L Liu, X Bai, M Yang, Y Xiang, M Zhang Knowledge-Based Systems, 113117, 2025 | 3 | 2025 |
| Llm-based translation inference with iterative bilingual understanding A Chen, K Chen, Y Xiang, X Bai, M Yang, Y Feng, T Zhao arXiv preprint arXiv:2410.12543, 2024 | 3 | 2024 |
Yue ZhangWestlake University在 wias.org.cn 的电子邮件经过验证