31 lines
1.6 KiB
Markdown
31 lines
1.6 KiB
Markdown
---
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license: apache-2.0
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datasets:
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- DLI-Lab/DONUT
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widget:
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- 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.'
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- example_title: 'example 1'
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---
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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.
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## Links for Reference
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- **Demo:https://dialoguecot.web.app/**
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- **Repository:https://github.com/kyle8581/DialogueCoT**
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- **Paper:https://arxiv.org/abs/2310.09343**
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- **Point of Contact:mapoout@yonsei.ac.kr**
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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).
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If you find the following model helpful, please consider citing our paper!
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**BibTeX:**
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```bibtex
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@misc{chae2023dialogue,
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title={Dialogue Chain-of-Thought Distillation for Commonsense-aware Conversational Agents},
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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},
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year={2023},
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eprint={2310.09343},
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archivePrefix={arXiv},
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primaryClass={cs.CL}
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}
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``` |