Nested-ReFT: Efficient Reinforcement Learning for Large Language Model Fine-Tuning via Off-Policy Rollouts

The paper introduces Nested-ReFT, an efficient reinforcement learning method for fine-tuning large language models on complex reasoning tasks using off-policy rollouts.

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