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DialogRPT-depth

Text Classification
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PyTorch
gpt2
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@@ -19,7 +19,7 @@ We considered the following tasks and provided corresponding pretrained models.
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  | :------------- | :----------- | :-----------: |
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  | **Human feedback** | **given a context and its two human responses, predict...**|
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  | `updown` | ... which gets more upvotes? | [model card](https://huggingface.co/microsoft/DialogRPT-updown) |
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- | `width`| ... which gets more direct replies? | [model card](https://huggingface.co/microsoft/DialogRPT-depth) |
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  | `depth`| ... which gets longer follow-up thread? | this model |
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  | **Human-like** (human vs fake) | **given a context and one human response, distinguish it with...** |
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  | `human_vs_rand`| ... a random human response | [model card](https://huggingface.co/microsoft/DialogRPT-human-vs-rand) |
 
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  | :------------- | :----------- | :-----------: |
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  | **Human feedback** | **given a context and its two human responses, predict...**|
21
  | `updown` | ... which gets more upvotes? | [model card](https://huggingface.co/microsoft/DialogRPT-updown) |
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+ | `width`| ... which gets more direct replies? | [model card](https://huggingface.co/microsoft/DialogRPT-width) |
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  | `depth`| ... which gets longer follow-up thread? | this model |
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  | **Human-like** (human vs fake) | **given a context and one human response, distinguish it with...** |
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  | `human_vs_rand`| ... a random human response | [model card](https://huggingface.co/microsoft/DialogRPT-human-vs-rand) |