Papers with dialogue generation framework

2 papers
ProphetChat: Enhancing Dialogue Generation with Simulation of Future Conversation (2022.acl-long)

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Challenge: generative dialogue models use dialogue histories to generate the response . however, generating a response based on the historical information is not easy .
Approach: They propose a framework that utilizes simulated dialogue futures to enhance response generation.
Outcome: The proposed framework can generate better responses over strong baselines on two open-domain dialogue datasets.
Long Time No See! Open-Domain Conversation with Long-Term Persona Memory (2022.findings-acl)

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Challenge: Existing persona dialogue datasets and models can build long-term relationships with humans . however, current open-domain dialogue systems cannot build long relationships with users .
Approach: They propose a long-term memory conversation dataset and a dialogue generation framework with long-Term memory mechanism to extract and continuously update long-time persona memory.
Outcome: The proposed system outperforms baselines in terms of long-term dialogue consistency . the proposed system can build long-lasting relationships between humans and bots .

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