Papers by Zhicheng Zhong
Less is More: Learning to Refine Dialogue History for Personalized Dialogue Generation (2022.naacl-main)
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| Challenge: | Existing personalized dialogue systems extract user profiles from dialogue history to guide personalized response generation. |
| Approach: | They propose to refine the user dialogue history on a large scale to obtain more persona information from the dialogue history and leverage other similar users' data to enhance personalization. |
| Outcome: | The proposed model can handle more dialogue history and obtain more abundant and accurate persona information. |
TSDG: Content-aware Neural Response Generation with Two-stage Decoding Process (2020.findings-emnlp)
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| Challenge: | Empirical results show that generative models often use a single decoder to generate a complete response at a stroke. |
| Approach: | They propose a content-aware model with two-stage decoding process to separate content words from function words. |
| Outcome: | The proposed model outperforms competing models in automatic and human evaluation on two datasets. |