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The Hong Kong Polytechnic University, Meituan Longcat Team
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OPERA's intrinsic reward mechanism enables LLMs to achieve new heights in open-ended reasoning, outperforming proprietary models without the pitfalls of biased supervision.
LLMs can achieve massive performance gains on reasoning and knowledge-intensive tasks simply by iteratively refining their answers using pseudo-labels derived from unlabeled data.
