Papers with dialog generation model

2 papers
Generating Dialogue Responses from a Semantic Latent Space (2020.emnlp-main)

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Challenge: Existing models for dialogue generation are unable to integrate information from multiple semantically similar valid responses of a given prompt.
Approach: They propose to learn the pair relationship between the prompts and responses as a regression task instead of the end-to-end classification on vocabulary.
Outcome: The proposed model learns the pair relationship between the prompts and responses on a latent space instead of the end-to-end classification on vocabulary.
XDailyDialog: A Multilingual Parallel Dialogue Corpus (2023.acl-long)

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Challenge: Existing datasets for open-domain dialogue modeling limited to a single language . absence of multilingual datasets hinders development of robust open- domain dialog systems .
Approach: They propose a multilingual parallel open-domain dialog dataset to explore multilingual and cross-lingual open- domain dialog.
Outcome: The proposed model can be used to explore multilingual and cross-lingual open-domain dialogs in other languages.

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