Hugging Face Trending Papers

Provable Benefits of RLVR over SFT for Reasoning Models: Learning to Backtrack Efficiently

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Recent advances in large language models (LLMs) have demonstrated that reinforcement fine-tuning of pretrained base models can lead to significant gains in reasoning performance at inference time. In this work, we theoretically analyze why reinforcement fine-tuning induces better reasoning ability than purely supervised fine-tuning (SFT) methods.

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