On the GPQA benchmark, GPT-4o's highest accuracy came from self-consistency prompting, about 53 percent correct, but its explanations were least similar to the reference solutions, while direct answer and chain-of-thought prompts gave the closest explanations.
Mulcogbench: A multi-modal cognitive benchmark dataset for evaluating chinese and english computational language models,
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Understanding LLM Scientific Reasoning through Promptings and Model's Explanation on the Answers
On the GPQA benchmark, GPT-4o's highest accuracy came from self-consistency prompting, about 53 percent correct, but its explanations were least similar to the reference solutions, while direct answer and chain-of-thought prompts gave the closest explanations.