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
- Demo:https://dialoguecot.web.app/
- Repository:https://github.com/kyle8581/DialogueCoT
- Paper:https://arxiv.org/abs/2310.09343
- Point of Contact:mapoout@yonsei.ac.kr
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}
}