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Los Alamos National Laboratory
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LLMs excel at factual recall but falter on quantitative reasoning and conceptual tasks, revealing critical gaps in their domain-specific capabilities.
LLMs can significantly improve their performance on complex tasks like math and coding *without any external rewards*, simply by iteratively comparing and refining their own outputs.