An offline alignment pipeline using reward-filtered self-refinement data and long chain-of-thought SFT raises an 8B model's AlpacaEval 2 win rate from 25.0% to 51.0% with roughly 14k training examples.
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Unlocking Recursive Thinking of LLMs: Alignment via Refinement
An offline alignment pipeline using reward-filtered self-refinement data and long chain-of-thought SFT raises an 8B model's AlpacaEval 2 win rate from 25.0% to 51.0% with roughly 14k training examples.