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arXiv cs.AI·

Difficulty-Based Preference Data Selection by DPO Implicit Reward Gap

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75
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In three linesNovel data selection strategy for LLM alignment based on DPO implicit reward gap. Method selects harder examples (smaller reward gaps) and achieves superior performance with only 10% of original data across multiple benchmarks.
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Reinforcement learningAlignmentEvals

Summary generated by Claude — human-verified