31 lines
1.6 KiB
Markdown
31 lines
1.6 KiB
Markdown
|
---
|
|||
|
|
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](https://huggingface.co/datasets/DLI-Lab/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](https://arxiv.org/abs/2310.09343).
|
|||
|
|
If you find the following model helpful, please consider citing our paper!
|
|||
|
|
|
|||
|
|
**BibTeX:**
|
|||
|
|
```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}
|
|||
|
|
}
|
|||
|
|
```
|