Self-Consistency from Only Two Samples: CoT-PoT Ensembling for Efficient LLM Reasoning
arXiv:2604.17433v1 Announce Type: new
Abstract: Self-consistency (SC) is a popular technique for improving the reasoning accuracy of large language models by aggregating multiple sampled outputs, but it comes at a high computational cost due to extens…