Papers with dialogue model behavior

1 papers
DialGuide: Aligning Dialogue Model Behavior with Developer Guidelines (2023.findings-emnlp)

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Challenge: Dialogue models are able to generate fluent and interesting responses, but they can be difficult to control and may produce non-engaging, unsafe results.
Approach: They propose a framework for controlling dialogue model behavior using natural language rules, or guidelines, which provide information about the context they are applicable to and what should be included in the response.
Outcome: The proposed framework is effective in three open-domain dialogue response generation tasks and is consistent with the developer's expectations and intent.

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