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Found 2 papers, 2 papers with code
Learning to Generate Better Than Your LLM
In particular, we extend RL algorithms to allow them to interact with a dynamic black-box guide LLM and propose RL with guided feedback (RLGF), a suite of RL algorithms for LLM fine-tuning.
Disagreement-Regularized Imitation Learning
We present a simple and effective algorithm designed to address the covariate shift problem in imitation learning.
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