LARPO, an iterative preference optimization method that adapts information retrieval techniques such as listwise ranking losses, hard negatives, and candidate lists, is claimed to substantially improve LLM alignment on AlpacaEval2 and MixEval-Hard.
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LLM Alignment as Retriever Optimization: An Information Retrieval Perspective
LARPO, an iterative preference optimization method that adapts information retrieval techniques such as listwise ranking losses, hard negatives, and candidate lists, is claimed to substantially improve LLM alignment on AlpacaEval2 and MixEval-Hard.