| End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF X Ma, E Hovy Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016 | 3615 | 2016 |
| Lima: Less is more for alignment C Zhou, P Liu, P Xu, S Iyer, J Sun, Y Mao, X Ma, A Efrat, P Yu, L Yu, ... Advances in Neural Information Processing Systems 36, 2023 | 1060 | 2023 |
| Towards a unified view of parameter-efficient transfer learning J He, C Zhou, X Ma, T Berg-Kirkpatrick, G Neubig Proceedings of 10th International Conference on Learning Representations …, 2022 | 1015 | 2022 |
| Harnessing Deep Neural Networks with Logic Rules Z Hu, X Ma, Z Liu, E Hovy, E Xing Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016 | 815 | 2016 |
| Choosing transfer languages for cross-lingual learning YH Lin, CY Chen, J Lee, Z Li, Y Zhang, M Xia, S Rijhwani, J He, Z Zhang, ... Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 258 | 2019 |
| FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow X Ma, C Zhou, X Li, G Neubig, E Hovy Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 216 | 2019 |
| Stack-Pointer Networks for Dependency Parsing X Ma, Z Hu, J Liu, N Peng, G Neubig, E Hovy Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 215 | 2018 |
| Mega: moving average equipped gated attention X Ma, C Zhou, X Kong, J He, L Gui, G Neubig, J May, L Zettlemoyer International Conference on Learning Representations (ICLR) 2023, 2023 | 211* | 2023 |
| Distflashattn: Distributed memory-efficient attention for long-context llms training D Li, R Shao, A Xie, EP Xing, X Ma, I Stoica, JE Gonzalez, H Zhang arXiv preprint arXiv:2310.03294, 2023 | 203* | 2023 |
| Luna: Linear Unified Nested Attention X Ma, X Kong, S Wang, C Zhou, J May, H Ma, L Zettlemoyer Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS-2021), 2021 | 156 | 2021 |
| On Difficulties of Cross-Lingual Transfer with Order Differences: A Case Study on Dependency Parsing W Ahmad, Z Zhang, X Ma, E Hovy, KW Chang, N Peng Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 156 | 2019 |
| An Interpretable Knowledge Transfer Model for Knowledge Base Completion Q Xie, X Ma, Z Dai, E Hovy Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017 | 133 | 2017 |
| Transfusion: Predict the next token and diffuse images with one multi-modal model C Zhou, L Yu, A Babu, K Tirumala, M Yasunaga, L Shamis, J Kahn, X Ma, ... arXiv preprint arXiv:2408.11039, 2024 | 118 | 2024 |
| Unsupervised Dependency Parsing with Transferring Distribution via Parallel Guidance and Entropy Regularization X Ma, F Xia Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014 | 90 | 2014 |
| A two-step approach for implicit event argument detection Z Zhang, X Kong, Z Liu, X Ma, E Hovy Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 81 | 2020 |
| Prompt consistency for zero-shot task generalization C Zhou, J He, X Ma, T Berg-Kirkpatrick, G Neubig Findings of the Association for Computational Linguistics: EMNLP 2022, 2022 | 78 | 2022 |
| Texar: A modularized, versatile, and extensible toolkit for text generation Z Hu, H Shi, B Tan, W Wang, Z Yang, T Zhao, J He, L Qin, D Wang, X Ma, ... Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 78* | 2019 |
| Examining and Combating Spurious Features under Distribution Shift C Zhou, X Ma, P Michel, G Neubig Proceedings of the 38th International Conference on Machine Learning, 2021 | 77 | 2021 |
| Personalized response generation via generative split memory network Y Wu, X Ma, D Yang Proceedings of the 2021 Conference of the North American Chapter of the …, 2021 | 69 | 2021 |
| Fourth-Order Dependency Parsing. X Ma, H Zhao Proceedings of the 24th International Conference on Computational …, 2012 | 69 | 2012 |
Eduard HovyUniversity of Melbourne, CMUVerified email at andrew.cmu.edu
