Majority Voting

Interpretable Adaptive Sampling for LLM Test-Time Scaling
Interpretable adaptive self-consistency. A fuzzy controller sets the sample budget, compared with best-of-N, self-certainty, majority voting, and compute-optimal test-time scaling.
Mobina Kashaniyan, Ali Jannesari
Posted Aug 4, 2026 Preprint, Artificial Intelligence, Large Language Models
PDF DOI PDF arXiv Google Scholar Research Summary
Interpretable Adaptive Sampling for LLM Test-Time Scaling and Test-Time Compute
Interpretable adaptive self-consistency versus best-of-N, self-certainty, majority voting, and compute-optimal test-time scaling. Related methods include RASC, ESC, and Adaptive-Consistency.
Mobina Kashaniyan
Posted Aug 4, 2026 Large Language Models, Artificial Intelligence, LLM Reasoning, Test-Time Scaling, Research Summary

© 2026 Mobina Kashaniyan.