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Bridging the action-sufficiency gap in robotic manipulation, GIFT achieves up to 12.6 points improvement over existing models by integrating structured intermediate features.
JUDGESTEALER reveals that efficient extraction of LLM judging capabilities is possible without extensive querying, achieving remarkable accuracy across multiple evaluation protocols.
