Self-Consistency

Noun · AI & Machine Learning

Definitions

  1. A prompting or decoding strategy in which multiple reasoning paths or outputs are generated and then compared to select the most consistent answer. Self-consistency can improve reliability on reasoning tasks by reducing dependence on one sampled path.

    In plain English: Using multiple generated attempts and choosing the most consistent result.

    Example: "They used self-consistency on the hardest math prompts by sampling several reasoning attempts and choosing the consensus answer."

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