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【第212期】Self-Backtracking:自我回溯

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Step Back to Leap Forward: Self-Backtracking for Boosting Reasoning of Language Models

Summary

This paper introduces Self-Backtracking, a novel technique to enhance the reasoning of large language models (LLMs) by enabling them to internally manage a search process with backtracking capabilities. The method trains LLMs to recognize suboptimal reasoning paths and autonomously backtrack to explore alternatives during both training and inference. This internalization of backtracking aims to…

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