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Large Language Model Cascades with Mixture of Thoughts Representations for Cost-efficient Reasoning

This repository provides prompts, LLM results and code implementation for our paper Large Language Model Cascades with Mixture of Thoughts Representations for Cost-efficient Reasoning, which is accepted by ICLR'24!

Please cite our paper if you find our work/code helpful!

@inproceedings{
yue2024large,
title={Large Language Model Cascades with Mixture of Thought Representations for Cost-Efficient Reasoning},
author={Murong Yue and Jie Zhao and Min Zhang and Liang Du and Ziyu Yao},
booktitle={The Twelfth International Conference on Learning Representations},
year={2024},
url={https://openreview.net/forum?id=6okaSfANzh}
}

1. Setup

pip install -r requirements.txt

2. Results and Prompts

All results with different temperatures are listed in the folder. All prompts are in Evaluation/prompting.

3. Evaluation Result

To evaluate the result of any setting, run the code

python Evaluation/${FILE}