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cs.LG2026
Adaptive Self-Consistency: From Black-Box Sampling to Distribution-Valued Feedback
Jingkai Huang, Yunfan Zhang, Will Ma +2
Self-consistency samples many reasoning trajectories and aggregates their final answers, treating the LLM as a black box that returns one answer per trajectory. Yet the final answe…
stat.ML2026
Optimal Bayesian Stopping for Efficient Inference of Consistent LLM Answers
Jingkai Huang, Will Ma, Zhengyuan Zhou
A simple strategy for improving LLM accuracy, especially in math and reasoning problems, is to sample multiple responses and submit the answer most consistently reached. In this pa…