LangAGI-Lab
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DOCTOR

Text Generation

text-generation-inference

Inference Endpoints

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hyungjoochae commited on Oct 22, 2023

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@@ -6,7 +6,7 @@ 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.
 ![](./figure2_overall.png)
 For more details, you can look at our paper (https://arxiv.org/abs/2310.09343).

   - 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.
 ![](./figure2_overall.png)
 For more details, you can look at our paper (https://arxiv.org/abs/2310.09343).