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Explicit thinking in large reasoning models can both enhance and undermine factual accuracy, but MARGO effectively curbs hallucination while preserving reasoning skills.
Reinforcement learning can significantly enhance adaptive sampling in large language models, leading to better performance with fewer resources.
