| KQA pro: A dataset with explicit compositional programs for complex question answering over knowledge base S Cao, J Shi, L Pan, L Nie, Y Xiang, L Hou, J Li, B He, H Zhang arXiv preprint arXiv:2007.03875, 2020 | 142* | 2020 |
| Atom: Commit message generation based on abstract syntax tree and hybrid ranking S Liu, C Gao, S Chen, LY Nie, Y Liu IEEE Transactions on Software Engineering 48 (5), 1800-1817, 2020 | 119 | 2020 |
| Code structure–guided transformer for source code summarization S Gao, C Gao, Y He, J Zeng, L Nie, X Xia, M Lyu ACM Transactions on Software Engineering and Methodology 32 (1), 1-32, 2023 | 108 | 2023 |
| Coregen: Contextualized code representation learning for commit message generation LY Nie, C Gao, Z Zhong, W Lam, Y Liu, Z Xu Neurocomputing 459, 97-107, 2021 | 56* | 2021 |
| GraphQ IR: Unifying the Semantic Parsing of Graph Query Languages with One Intermediate Representation L Nie, S Cao, J Shi, J Sun, Q Tian, L Hou, J Li, J Zhai arXiv preprint arXiv:2205.12078, 2022 | 24 | 2022 |
| Unveiling the Black Box of PLMs with Semantic Anchors: Towards Interpretable Neural Semantic Parsing L Nie, J Sun, Y Wang, L Du, S Han, D Zhang, L Hou, J Li, J Zhai arXiv preprint arXiv:2210.01425, 2022 | 4 | 2022 |
| Unstructured Knowledge Access in Task-oriented Dialog Modeling using Language Inference, Knowledge Retrieval and Knowledge-Integrative Response Generation M Chaudhary, B Dzodzo, S Huang, CH Lo, M Lyu, LY Nie, J Xing, ... arXiv preprint arXiv:2101.06066, 2021 | 2 | 2021 |
| How Proficient Are Large Language Models in Formal Languages? An In-Depth Insight for Knowledge Base Question Answering J Liu, S Cao, J Shi, T Zhang, L Nie, L Hu, L Hou, J Li Findings of the Association for Computational Linguistics ACL 2024, 792-815, 2024 | 1* | 2024 |
| Online Cascade Learning for Efficient Inference over Streams L Nie, Z Ding, E Hu, C Jermaine, S Chaudhuri ICML 2024, 2024 | 1 | 2024 |
Juanzi LiTsinghua UniversityZweryfikowany adres z tsinghua.edu.cn