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--- |
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license: apache-2.0 |
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library_name: transformers |
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pipeline_tag: text-generation |
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--- |
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# GRACE: Discriminator-Guided Chain-of-Thought Reasoning |
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This repository contains a fine-tuned FLAN-T5 model as presented in the paper [GRACE: Discriminator-Guided Chain-of-Thought Reasoning](https://huggingface.co/papers/2305.14934). |
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## Model Description |
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GRACE (Guiding chain-of-thought ReAsoning with a CorrectnEss Discriminator) is a stepwise decoding approach that steers the decoding process towards producing correct reasoning steps. It employs a step-level verifier or discriminator trained with a contrastive loss over correct and incorrect steps, which is used during decoding to score next-step candidates based on their correctness. This specific checkpoint serves as the generator model fine-tuned for reasoning tasks. |
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- **Repository:** https://github.com/mukhal/grace |
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- **Paper:** [GRACE: Discriminator-Guided Chain-of-Thought Reasoning](https://huggingface.co/papers/2305.14934) |
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## Citation |
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If you use this model or code, please consider citing the following paper: |
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```bibtex |
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@article{khalifa2023grace, |
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title={Grace: Discriminator-guided chain-of-thought reasoning}, |
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author={Khalifa, Muhammad and Logeswaran, Lajanugen and Lee, Moontae and Lee, Honglak and Wang, Lu}, |
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journal={arXiv preprint arXiv:2305.14934}, |
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year={2023} |
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} |
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``` |
