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:
- Policy:
xmu-nlp/Llama-3-8b-gsm8k - Verifier:
xmu-nlp/Llama-3-8b-gsm8k-value-Aandxmu-nlp/Llama-3-8b-gsm8k-value-B - Embedding:
xmu-nlp/simcse-large-gsm8k
For more details and usage instructions, please refer to the GitHub repository.
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