No more fine-tuning? an experimental evaluation of prompt tuning in code intelligence C Wang, Y Yang, C Gao, Y Peng, H Zhang, MR Lyu Proceedings of the 30th ACM joint European software engineering conference …, 2022 | 109 | 2022 |
Fedpetuning: When federated learning meets the parameter-efficient tuning methods of pre-trained language models Z Zhang, Y Yang, Y Dai, Q Wang, Y Yu, L Qu, Z Xu Annual Meeting of the Association of Computational Linguistics 2023, 9963-9977, 2023 | 43 | 2023 |
Prompt tuning in code intelligence: An experimental evaluation C Wang, Y Yang, C Gao, Y Peng, H Zhang, MR Lyu IEEE Transactions on Software Engineering, 2023 | 7 | 2023 |
Once is Enough: A Light-Weight Cross-Attention for Fast Sentence Pair Modeling Y Yang, C Gao, Z Xu, Y He, Q Wang, C Liu Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2022 | 2 | 2022 |
TopicAns: Topic-informed Architecture for Answer Recommendation on Technical Q&A Site Y Yang, W He, C Gao, Z Xu, X Xia, C Liu ACM Transactions on Software Engineering and Methodology 33 (1), 1-25, 2023 | 1 | 2023 |
XMoE: Sparse Models with Fine-grained and Adaptive Expert Selection Y Yang, S Qi, W Gu, C Wang, C Gao, Z Xu arXiv preprint arXiv:2403.18926, 2024 | | 2024 |