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--- |
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pipeline_tag: text-generation |
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library_name: transformers |
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license: mit |
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--- |
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# FETCH: Efficient Tree Search for LLM Reasoning |
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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](https://arxiv.org/abs/2502.11183). |
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The FETCH framework improves the efficiency and accuracy of LLM-based reasoning by addressing over-exploration and under-exploration issues in tree search algorithms. |
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Pre-trained models mentioned in the paper's README are available on Hugging Face Hub: |
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- **Policy:** [`xmu-nlp/Llama-3-8b-gsm8k`](https://huggingface.co/xmu-nlp/Llama-3-8b-gsm8k) |
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- **Verifier:** [`xmu-nlp/Llama-3-8b-gsm8k-value-A`](https://huggingface.co/xmu-nlp/Llama-3-8b-gsm8k-value-A) and [`xmu-nlp/Llama-3-8b-gsm8k-value-B`](https://huggingface.co/xmu-nlp/Llama-3-8b-gsm8k-value-B) |
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- **Embedding:** [`xmu-nlp/simcse-large-gsm8k`](https://huggingface.co/xmu-nlp/simcse-large-gsm8k) |
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For more details and usage instructions, please refer to the [GitHub repository](https://github.com/xmu-nlp/FETCH). |
