Papers by Xiaomeng Huang
Scalable-DSC: A Structural Template Prompt Approach to Scalable Dialogue State Correction (2023.emnlp-main)
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| Challenge: | Existing approaches to correct wrong slot values in dialogue state tracking are intertwined with specific DST models, limiting their applicability to other DSTs. |
| Approach: | They propose a Scalable Dialogue State Correction model that corrects wrong slot values in predicted dialogue states by using a structural template prompt. |
| Outcome: | The proposed model achieves state-of-the-art results on MultiWOZ 2.0-2.4. |