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Large Language Models Fall Short in Analogical Reasoning
A new study reveals that large language models significantly underperform humans in analogical reasoning, highlighting a critical limitation in their ability to generalize from diverse data and affecting their applicability in various fields, unlike human adaptability to unfamiliar contexts.
Large Language Models Fall Short in Analogical Reasoning
A new study reveals that large language models significantly underperform humans in analogical reasoning, highlighting a critical limitation in their ability to generalize from diverse data and affecting their applicability in various fields, unlike human adaptability to unfamiliar contexts.
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