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Seoul National University
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Existing diversity metrics miss the mark, failing to capture the true variety in problem-solving strategies that could enhance LLM reasoning capabilities.
LVLMs can generate more factual and detailed image captions at a lower compute cost by reflecting on their past mistakes and systematically attending to overlooked details.
LLMs' "Aha!" moments aren't about magic tokens, but about explicitly verbalizing and managing uncertainty during reasoning, which drives performance.
