| A prototypical semantic decoupling method via joint contrastive learning for few-shot named entity recognition G Dong, Z Wang, L Wang, D Guo, D Fu, Y Wu, C Zeng, X Li, T Hui, K He, ... ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 14 | 2023 |
| A multi-task semantic decomposition framework with task-specific pre-training for few-shot ner G Dong, Z Wang, J Zhao, G Zhao, D Guo, D Fu, T Hui, C Zeng, K He, X Li, ... Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 12 | 2023 |
| Revisit out-of-vocabulary problem for slot filling: A unified contrastive framework with multi-level data augmentations D Guo, G Dong, D Fu, Y Wu, C Zeng, T Hui, L Wang, X Li, Z Wang, K He, ... ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 9 | 2023 |
| Semi-supervised knowledge-grounded pre-training for task-oriented dialog systems W Zeng, K He, Z Wang, D Fu, G Dong, R Geng, P Wang, J Wang, C Sun, ... SereTOD2022, EMNLP 2022 Workshop, 2022 | 9 | 2022 |
| On Large Language Models' Hallucination with Regard to Known Facts C Jiang, B Qi, X Hong, D Fu, Y Cheng, F Meng, M Yu, B Zhou, J Zhou NAACL 2024 Main, 2024 | 7 | 2024 |
| PreAct: Predicting Future in ReAct Enhances Agent's Planning Ability D Fu, J Huang, S Lu, G Dong, Y Wang, K He, W Xu arXiv preprint arXiv:2402.11534, 2024 | 4 | 2024 |
| CS-Bench: A Comprehensive Benchmark for Large Language Models towards Computer Science Mastery X Song, M Diao, G Dong, Z Wang, Y Fu, R Qiao, Z Wang, D Fu, H Wu, ... arXiv preprint arXiv:2406.08587, 2024 | 2 | 2024 |
| DivTOD: Unleashing the Power of LLMs for Diversifying Task-Oriented Dialogue Representations W Zeng, D Fu, K He, Y Wang, Y Xu, W Xu NAACL 2024 Findings, 2024 | 2 | 2024 |
| How Do Your Code LLMs perform? Empowering Code Instruction Tuning with Really Good Data Y Wang, K He, D Fu, Z GongQue, H Xu, Y Chen, Z Wang, Y Fu, G Dong, ... Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024 | | 2024 |
| MSI-Agent: Incorporating Multi-Scale Insight into Embodied Agents for Superior Planning and Decision-Making D Fu, B Qi, Y Gao, C Jiang, G Dong, B Zhou EMNLP 2024 Main, 2024 | | 2024 |
| How Do Your Code LLMs Perform? Empowering Code Instruction Tuning with High-Quality Data Y Wang, K He, D Fu, Z Gongque, H Xu, Y Chen, Z Wang, Y Fu, G Dong, ... EMNLP 2024 Main, 2024 | | 2024 |
| BootTOD: Bootstrap Task-oriented Dialogue Representations by Aligning Diverse Responses W Zeng, K He, Y Wang, D Fu, W Xu COLING 2024, 2024 | | 2024 |
Keqing HeBeijing University of Posts and Telecommunications在 bupt.cn 的电子邮件经过验证
