Google Researchers Unveil Universal Self-Consistency (USC): A New Leap in Large Language Model Capabilities for Complex Task Performance

The problem of selecting the most consistent answer from multiple candidates to enhance task performance, particularly in tasks like mathematical reasoning and code generation, has been addressed by researchers from Google through their Universal Self-Consistency (USC) method. This method utilizes LLMs and achieves comparable results to standard self-consistency without requiring identical answer formats or access […]

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