| Nested named entity recognition as latent lexicalized constituency parsing C Lou, S Yang, K Tu arXiv preprint arXiv:2203.04665, 2022 | 44 | 2022 |
| Seqgpt: An out-of-the-box large language model for open domain sequence understanding T Yu, C Jiang, C Lou, S Huang, X Wang, W Liu, J Cai, Y Li, Y Li, K Tu, ... Proceedings of the AAAI Conference on Artificial Intelligence 38 (17), 19458 …, 2024 | 14 | 2024 |
| Unsupervised vision-language parsing: Seamlessly bridging visual scene graphs with language structures via dependency relationships C Lou, W Han, Y Lin, Z Zheng Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 12 | 2022 |
| Sparser is faster and less is more: Efficient sparse attention for long-range transformers C Lou, Z Jia, Z Zheng, K Tu arXiv preprint arXiv:2406.16747, 2024 | 9 | 2024 |
| Effective Demonstration Annotation for In-Context Learning via Language Model-Based Determinantal Point Process P Wang, X Wang, C Lou, S Mao, P Xie, Y Jiang arXiv preprint arXiv:2408.02103, 2024 | 1 | 2024 |
| AMR Parsing with Causal Hierarchical Attention and Pointers C Lou, K Tu arXiv preprint arXiv:2310.11964, 2023 | 1 | 2023 |
| Improving Grammar-based Sequence-to-Sequence Modeling with Decomposition and Constraints C Lou, K Tu arXiv preprint arXiv:2306.02671, 2023 | 1 | 2023 |
| Dependency Transformer Grammars: Integrating Dependency Structures into Transformer Language Models Y Zhao, C Lou, K Tu arXiv preprint arXiv:2407.17406, 2024 | | 2024 |
| Spa: On the Sparsity of Virtual Adversarial Training for Dependency Parsing C Lou, W Han, K Tu Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022 …, 2022 | | 2022 |
