AI RESEARCH
SCATR: Simple Calibrated Test-Time Ranking
arXiv CS.LG
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ArXi:2604.16535v1 Announce Type: new Test-time scaling (TTS) improves large language models (LLMs) by allocating additional compute at inference time. In practice, TTS is often achieved through parallel scaling: generating multiple candidate responses and selecting the best via a Best-of-N (BoN) strategy. Its effectiveness therefore hinges on the scoring function. Learned scorers such as process reward models (PRMs) can be strong, but they are expensive to train and run.