Please try this ➤➤➤ Colab Notebook Demo (click me!)

The updown score predicts how likely the response is getting upvoted.

This is what DialogRPT is learned to predict. It is a set of dialog response ranking models proposed by Microsoft Research NLP Group trained on 100 + millions of human feedback data. It can be used to improve existing dialog generation model (e.g., DialoGPT) by re-ranking the generated response candidates.

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We considered the following tasks and provided corresponding pretrained models. This page is for the updown task, and other model cards can be found in table below.

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@inproceedings{gao2020dialogrpt,
    title={Dialogue Response RankingTraining with Large-Scale Human Feedback Data},
    author={Xiang Gao and Yizhe Zhang and Michel Galley and Chris Brockett and Bill Dolan},
    year={2020},
    booktitle={EMNLP}
}