TL;DR: Large Language Models are powerful probabilistic predictors, but single-pass outputs can be fragile. Use Chain-of-Thought (CoT) to force step-by-step reasoning, Self-Consistency to sample many reasoning paths and vote, and Universal Self-Consistency (USC) to extend that voting to free-form outputs by letting an LLM pick the best response....