DOCTOR / README.md
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metadata
license: apache-2.0
datasets:
  - DLI-Lab/DONUT
widget:
  - text: >-
      A: Hi, Viggo. How are you doing today?\nB: Hey, Yovani. I’m doing all
      right. Thanks for asking.\nA: No problem. I saw that you left your coffee
      mug on the counter this morning. Did you forget to take it with you?\nB:
      Yeah, I did. Thanks for grabbing it for me.\nA: No problem at all. I know
      how busy you are and I didn’t want you to have to come back for it
      later.\nB: You’re a lifesaver, Yovani. Seriously, thank you so much.
  - example_title: example 1

A dialogue commonsense reasoner that generates Chain-of-Thought knowledge in a multi-hop manner given a dialogue history. Our DOCTOR is trained with DONUT which is also available on huggingface.

Links for Reference

For more details, you can look at our paper Dialogue Chain-of-Thought Distillation for Commonsense-aware Conversational Agents. If you find the following model helpful, please consider citing our paper!

BibTeX:

@misc{chae2023dialogue,
      title={Dialogue Chain-of-Thought Distillation for Commonsense-aware Conversational Agents}, 
      author={Hyungjoo Chae and Yongho Song and Kai Tzu-iunn Ong and Taeyoon Kwon and Minjin Kim and Youngjae Yu and Dongha Lee and Dongyeop Kang and Jinyoung Yeo},
      year={2023},
      eprint={2310.09343},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}