Correctable-DST: mitigating historical context mismatch between training and inference for improved dialogue state tracking H Xie, H Su, S Song, H Huang, B Zou, K Deng, J Lin, Z Zhang, X He Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 2 | 2022 |
Domain-Slot Aware Contrastive Learning for Improved Dialogue State Tracking H Su, S Feng, H Xie, D Wu, H Huang, Z He, S Song, R Fang, X Huang, ... ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | | 2024 |
Fact-Aware Summarization with Contrastive Learning for Few-Shot Dialogue State Tracking S Feng, H Su, H Xie, D Wu, H Huang, W Silamu ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | | 2024 |
Scalable-DSC: A Structural Template Prompt Approach to Scalable Dialogue State Correction H Su, H Xie, H Huang, S Song, R Fang, X Huang, S Feng The 2023 Conference on Empirical Methods in Natural Language Processing, 2023 | | 2023 |