Ziqiu Luo

Task-and-Model-Aware Fractal-Consistency for Efficient LLM Reasoning

While self-consistency methods have emerged as a promising approach to enhance the correctness of large language model (LLM) outputs by aggregating multiple stochastic samples, they suffer from two critical limitations, resulting in high computation cost. First, they evaluate output consistency mono…