Papers with multi-turn task-oriented dialog

1 papers
Mars: Modeling Context & State Representations with Contrastive Learning for End-to-End Task-Oriented Dialog (2023.findings-acl)

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Challenge: Empirical results show dialog context representations are more conducive to multi-turn task-oriented dialog.
Approach: They propose an end-to-end task-oriented dialog system with two contrastive learning strategies to model relationship between dialog context and belief/action state representations.
Outcome: Empirical results show that dialog context representations are more conducive to multi-turn task-oriented dialog.

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