arXiv: cs.AI preprintsInternational6 November 2026
StepBack: Step-Level Error-Localized Resampling for Efficient Test-Time Reasoning
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arXiv:2611.08403v1 Announce Type: new Abstract: Self-consistency (SC) is a widely used decoding strategy for improving chain-of-thought reasoning, but it requires sampling many complete reasoning trajectories with a preset budget. Its efficient variants reduce the cost mainly by stopping full-trajectory sampling early or distributing the number of samples across questions. In this paper, we propose StepBack, a step-level error-localized resampling method for efficient test-time reasoning. Given a small set of draft trajectories, StepBack localizes likely first error positions using lightweight
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