Papers by Hongjie Ren
Syntactically Diverse Adversarial Network for Knowledge-Grounded Conversation Generation (2021.findings-emnlp)
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| Challenge: | Existing conversation models produce meaningless and generic responses, which significantly reduce the user experience. |
| Approach: | They propose to fuse knowledge to improve informativeness and adopt latent variables to enhance the diversity of responses. |
| Outcome: | The proposed model can generate syntactically diverse and knowledge-accurate responses while maintaining the knowledge accuracy. |