Discriminator-Guided Multi-step Reasoning with Language Models
Paper
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2305.14934
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Published
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1
This repository contains a fine-tuned FLAN-T5 model as presented in the paper GRACE: Discriminator-Guided Chain-of-Thought Reasoning.
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.
If you use this model or code, please consider citing the following paper:
@article{khalifa2023grace,
title={Grace: Discriminator-guided chain-of-thought reasoning},
author={Khalifa, Muhammad and Logeswaran, Lajanugen and Lee, Moontae and Lee, Honglak and Wang, Lu},
journal={arXiv preprint arXiv:2305.14934},
year={2023}
}