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Self-Backtracking
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Self-Backtracking
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# Step Back to Leap Forward: Self-Backtracking for Boosting Reasoning of Language Models [](https://www.arxiv.org/abs/2502.04404) [](https://huggingface.co/papers/2502.04404) [](https://github.com/LAMDASZ-ML/Self-BackTracking) [](https://github.com/LAMDASZ-ML/Self-BackTracking) [](https://github.com/LAMDASZ-ML/Self-BackTracking/stargazers) A novel self-backtracking method for improving language model reasoning.  ## Overview This repository implements the Self-BackTracking method, that equips LLMs with the ability to backtrack during both training and inference. This mechanism not only enhances reasoning ability but also efficiency by transforming slow-thinking processes into fast-thinking through self-improvement. ## Dataset and Model The project utilizes the Countdown dataset, which is pre-constructed and accessible on Hugging Face. Additionally, we have open-sourced our trained model based on Llama-3.2-1B. [](https://huggingface.co/datasets/yangxw/countdown-backtracking) [](https://huggingface.co/yangxw/Llama-3.2-1B-countdown-backtrack) ## Getting Started ### Training To train the model: ```bash CUDA_VISIBLE_DEVICES=0 python train.py \ --config ../configs/sft.conf ``` You can change the parameters in the `configs/sft.conf` file. If you want to use multiple GPUs: ```bash accelerate launch \ --config_file ../configs/accelerate.yaml \ train.py \ --config ../configs/sft.conf ``` ### Inference To inference the model using our self-backtracking method, you can run the following command: ```bash CUDA_VISIBLE_DEVICES=0 python eval_search.py \ --num 5000 \ --ckpt [your_model_ckpt] \ --data [val/val_new] \ --decoder self_backtrack \ --b 1 \ --n 32 ``` --ckpt defaults to `yangxw/Llama-3.2-1B-countdown-backtrack`. You can use our trained model available on Hugging Face. ### Self-Improvement To further improve the model, you can run the following command: ```bash CUDA_VISIBLE_DEVICES=0 python train_self_improvement.py \ --num 5000 \ --past_model [your_model_ckpt] \ --data [val/val_new] ``` ## Results  ## Citation If you use this work, please cite it as follows: ``` @article{selfbacktracking, title={Step Back to Leap Forward: Self-Backtracking for Boosting Reasoning of Language Models}, author={Xiao-Wen Yang and Xuan-Yi Zhu and Wen-Da Wei and Ding-Chu Zhang and Jie-Jing Shao and Zhi Zhou and Lan-Zhe Guo and Yu-Feng Li}, journal={arXiv preprint arXiv:2502.04404}, year={2025} } ```
