FETCH: Efficient Tree Search for LLM Reasoning

This repository contains model checkpoints for the FETCH framework, as described in the paper Don't Get Lost in the Trees: Streamlining LLM Reasoning by Overcoming Tree Search Exploration Pitfalls.

The FETCH framework improves the efficiency and accuracy of LLM-based reasoning by addressing over-exploration and under-exploration issues in tree search algorithms.

Pre-trained models mentioned in the paper's README are available on Hugging Face Hub:

For more details and usage instructions, please refer to the GitHub repository.

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Paper for xmu-nlp/Llama-3-8b-gsm8k-value-A