UniGDD: A Unified Generative Framework for Goal-Oriented Document-Grounded Dialogue (2022.acl-short)
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| Challenge: | Existing studies tackle the problem of error propagation by decomposing the goal-oriented document-grounded dialogue into two sub-tasks. |
| Approach: | They propose to unify knowledge identification and response generation into two sub-tasks by sequentially generating grounding knowledge and response. |
| Outcome: | The proposed framework unifies knowledge identification and response generation and models their characteristics using a prompt-connected multi-task learning strategy. |
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