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Universal Self-Consistency for Large Language Model Generation

(a)

(b)

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Figure 2: Examples of Universal Self-Consistency for answer selection from responses of diverse
formats: (a) mathematical reasoning; and (b) open-ended question answering. Note that for the
given open-ended question, the final answer is an entity list, where no two responses share the same
predictions. Still, the LLM correctly selects the response where the individual entities in the predicted
list appear most frequently in the candidate responses.
UNIVERSALSELF-CONSISTENCYFORLARGELANGUAGEMODELGENERATION