| 2024 | AAAI | SeqGPT: An Out-of-the-Box Large Language Model for Open Domain Sequence Understanding. | Tianyu Yu, Chengyue Jiang, Chao Lou, Shen Huang, Xiaobin Wang, Wei Liu, Jiong Cai, Yangning Li, Yinghui Li, Kewei Tu, Hai-Tao Zheng, Ningyu Zhang, Pengjun Xie, Fei Huang, Yong Jiang |
| 2024 | ACL | Dependency Transformer Grammars: Integrating Dependency Structures into Transformer Language Models. | Yida Zhao, Chao Lou, Kewei Tu |
| 2024 | EMNLP | Effective Demonstration Annotation for In-Context Learning via Language Model-Based Determinantal Point Process. | Peng Wang, Xiaobin Wang, Chao Lou, Shengyu Mao, Pengjun Xie, Yong Jiang |
| 2023 | ACL | Improving Grammar-based Sequence-to-Sequence Modeling with Decomposition and Constraints. | Chao Lou, Kewei Tu |
| 2023 | EMNLP | AMR Parsing with Causal Hierarchical Attention and Pointers. | Chao Lou, Kewei Tu |
| 2022 | ACL | Nested Named Entity Recognition as Latent Lexicalized Constituency Parsing. | Chao Lou, Songlin Yang, Kewei Tu |
| 2022 | CVPR | Unsupervised Vision-Language Parsing: Seamlessly Bridging Visual Scene Graphs with Language Structures via Dependency Relationships. | Chao Lou, Wenjuan Han, Yuhuan Lin, Zilong Zheng |
| 2022 | IJCNLP | Spa: On the Sparsity of Virtual Adversarial Training for Dependency Parsing. | Chao Lou, Wenjuan Han, Kewei Tu |
| 2018 | KSEM | Research on Hot Micro-blog Forecast Based on XGBOOST and Random Forest. | Jianrong Wang, Chao Lou, Ruiguo Yu, Jie Gao, Tianyi Xu, Mei Yu, Haibo Di |