| Disentangled knowledge transfer for OOD intent discovery with unified contrastive learning Y Mou, K He, Y Wu, Z Zeng, H Xu, H Jiang, W Wu, W Xu Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 17 | 2022 |
| Watch the neighbors: A unified k-nearest neighbor contrastive learning framework for OOD intent discovery Y Mou, K He, P Wang, Y Wu, J Wang, W Wu, W Xu arXiv preprint arXiv:2210.08909, 2022 | 10 | 2022 |
| Exploiting domain-slot related keywords description for few-shot cross-domain dialogue state tracking G Qixiang, G Dong, Y Mou, L Wang, C Zeng, D Guo, M Sun, W Xu Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 7 | 2022 |
| Improving few-shot performance of dst model through multitask to better serve language-impaired people M Sun, Q Gao, Y Mou, G Dong, R Liu, W Guo 2023 IEEE International Conference on Acoustics, Speech, and Signal …, 2023 | 6 | 2023 |
| Distribution calibration for out-of-domain detection with bayesian approximation Y Wu, Z Zeng, K He, Y Mou, P Wang, W Xu arXiv preprint arXiv:2209.06612, 2022 | 6 | 2022 |
| Speech emotion detection using sliding window feature extraction and ANN X Liu, Y Mou, Y Ma, C Liu, Z Dai 2020 IEEE 5th international conference on signal and image processing (ICSIP …, 2020 | 5 | 2020 |
| Decoupling Pseudo Label Disambiguation and Representation Learning for Generalized Intent Discovery Y Mou, X Song, K He, C Zeng, P Wang, J Wang, Y Xian, W Xu Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 4 | 2023 |
| UniNL: Aligning representation learning with scoring function for OOD detection via unified neighborhood learning Y Mou, P Wang, K He, Y Wu, J Wang, W Wu, W Xu arXiv preprint arXiv:2210.10722, 2022 | 4 | 2022 |
| Disentangling confidence score distribution for out-of-domain intent detection with energy-based learning Y Wu, Z Zeng, K He, Y Mou, P Wang, Y Yan, W Xu arXiv preprint arXiv:2210.08830, 2022 | 4 | 2022 |
| Generalized intent discovery: Learning from open world dialogue system Y Mou, K He, Y Wu, P Wang, J Wang, W Wu, Y Huang, J Feng, W Xu arXiv preprint arXiv:2209.06030, 2022 | 4 | 2022 |
| Beyond the Known: Investigating LLMs Performance on Out-of-Domain Intent Detection P Wang, K He, Y Wang, X Song, Y Mou, J Wang, Y Xian, X Cai, W Xu arXiv preprint arXiv:2402.17256, 2024 | 1 | 2024 |
| DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning Y Wang, K He, G Dong, P Wang, W Zeng, M Diao, Y Mou, M Zhang, ... arXiv preprint arXiv:2402.09136, 2024 | 1 | 2024 |
| Large Language Models Meet Open-World Intent Discovery and Recognition: An Evaluation of ChatGPT X Song, K He, P Wang, G Dong, Y Mou, J Wang, Y Xian, X Cai, W Xu arXiv preprint arXiv:2310.10176, 2023 | 1 | 2023 |
| Continual Generalized Intent Discovery: Marching Towards Dynamic and Open-world Intent Recognition X Song, Y Mou, K He, Y Qiu, P Wang, W Xu arXiv preprint arXiv:2310.10184, 2023 | 1 | 2023 |
| APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection P Wang, K He, Y Mou, X Song, Y Wu, J Wang, Y Xian, X Cai, W Xu arXiv preprint arXiv:2310.13380, 2023 | | 2023 |
| Value type: the bridge to a better DST model G Qixiang, M Sun, Y Mou, C Zeng, W Xu Findings of the Association for Computational Linguistics: ACL 2023, 1211-1219, 2023 | | 2023 |
| Bridge Pre-Training and Clustering: A Unified Contrastive Learning Framework for OOD Intent Discovery Y Mou, H Xu IEEE Access 11, 63714-63724, 2023 | | 2023 |
