初始化项目,由ModelHub XC社区提供模型

Model: LangAGI-Lab/DOCTOR
Source: Original Platform
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---
license: apache-2.0
datasets:
- DLI-Lab/DONUT
widget:
- text: 'A: Hi, Viggo. How are you doing today?\nB: Hey, Yovani. Im 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 didnt want you to have to come back for it later.\nB: Youre 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**
![](./figure2_overall.png)
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}
}
```