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    "text": "Paper link: arxiv.org/abs/2503.21878\n\n11/11",
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        "title": "Is Best-of-N the Best of Them? Coverage, Scaling, and Optimality in Inference-Time Alignment",
        "description": "Inference-time computation offers a powerful axis for scaling the performance of language models. However, naively increasing computation in techniques like Best-of-N sampling can lead to performance ..."
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