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Scoring all N candidates jointly halves the latency to a target accuracy, the MSV paper reports
An arXiv preprint treats best-of-N selection and inference latency as one calibration problem, and its Multi-Sequence Verifier scores the whole candidate pool in one pass so a streaming version can stop decoding early.
Publishers:arxiv.org
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