BRiTE is an EM-style algorithm that uses RL to sample high-likelihood reasoning chains and fine-tunes the LLM on them, with a theoretical 1/T convergence rate and mixed empirical gains.
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BRiTE: Bootstrapping Reinforced Thinking Process to Enhance Language Model Reasoning
BRiTE is an EM-style algorithm that uses RL to sample high-likelihood reasoning chains and fine-tunes the LLM on them, with a theoretical 1/T convergence rate and mixed empirical gains.