#self-consistency

2 articles

01 ·Large Language Models·FREE·PAPER·13 min read Test-Time Scaling — How Models Get Better by Thinking Longer The same model scores higher when you let it think longer. This article builds the idea from scratch: chain-of-thought as purchased compute steps, self-consistency by majority vote, verifiers that pick the winner, and o1-style models that learned the thinking itself — and what it means for compute to shift from training to inference. 02 ·Inference & Serving·FREE·PAPER·14 min read Paper Walkthrough: No Gold Answers, No Stronger Teacher — How u-OPSD Distills From Its Own Majority Vote u-OPSD (arXiv:2608.06296) replaces the gold solution in on-policy self-distillation with the model's own majority vote, then corrects only the rollouts that disagree with it. A from-scratch walkthrough grounded solely in the paper.