Zhuohang Li

SCE: Scalable Consistency Ensembles Make Blackbox Large Language Model Generation More Reliable

2025 · arXiv (Cornell University)

Large language models (LLMs) have demonstrated remarkable performance, yet their diverse strengths and weaknesses prevent any single LLM from achieving dominance across all tasks. Ensembling multiple LLMs is a promising approach to generate reliable responses …