AIBearisharXiv – CS AI · 7h ago7/10
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The Refutability Gap: Challenges in Validating Reasoning by Large Language Models
A new arXiv paper challenges recent claims about LLM capabilities by arguing they lack scientific rigor under Popper's falsifiability principle. The authors identify methodological flaws in AI reasoning research, including opaque training data, non-reproducibility, and selection bias, then propose transparency guidelines to improve scientific integrity in LLM evaluation.
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