A new arXiv paper demonstrates that large language models struggle with commonsense reasoning and plausibility assessment—tasks humans perform naturally. The research compares human and LLM performance on reasoning tasks that require intuitive judgment about real-world plausibility.
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Plausibility as Commonsense Reasoning: Humans Succeed, Large Language Models Do not
Research reveals LLMs fundamentally fail at commonsense plausibility reasoning where humans excel, exposing a critical gap in intuitive judgment that current models cannot bridge.
Tuesday, April 7, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.CL (Computation & Language)BY sys://pipeline
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