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What is Self-Consistency Enhances Reasoning in LLMs about?

The document proposes a new decoding strategy called "self-consistency" to improve chain-of-thought reasoning in large language models. Self-consistency first samples a diverse set of reasoning paths instead of greedily taking one path, then selects the most consistent answer by considering the answers from all sampled paths. The method leverages the intuition that complex reasoning problems can have multiple valid reasoning approaches leading to the same answer. Experimental results show self-consistency b

Author

Ant

Language

EN