Papers by Yuzhuo Fu

1 papers
LiveChat: A Large-Scale Personalized Dialogue Dataset Automatically Constructed from Live Streaming (2023.acl-long)

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Challenge: a recent study shows that open-domain dialogue systems are not able to perform well in fast-growing scenarios such as live streaming due to the domain gap between online-post constructed data and those required in downstream conversational tasks.
Approach: They propose to train a conversational agent based on large social media datasets with multiple domains to improve response in live streaming scenarios.
Outcome: The proposed model improves response modeling and addressee recognition in live open-domain scenarios.

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