Preprint
Jul 2026
Mutual Debiasing via Dual-Seed Comparison for Probabilistic Sampling in Large Language Models
Although Large Language Models (LLMs) demonstrate remarkable capabilities in reasoning and decision-making, high-fidelity probabilistic sampling remains a persistent challenge. When generating random variables, LLMs consistently exhibit systematic biases that warp the target probability distributions. Current approache...
Zina Guo, Hongtao Lv, Chao-Li Zhang et al.
· 0 citations