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Found 3 papers, 2 papers with code
Less is More: Learning to Refine Dialogue History for Personalized Dialogue Generation
Existing personalized dialogue systems have tried to extract user profiles from dialogue history to guide personalized response generation.
One Chatbot Per Person: Creating Personalized Chatbots based on Implicit User Profiles
Specifically, leveraging the benefits of Transformer on language understanding, we train a personalized language model to construct a general user profile from the user's historical responses.
Pchatbot: A Large-Scale Dataset for Personalized Chatbot
This enables the development of personalized dialogue models that directly learn implicit user personality from the user's dialogue history.
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