Large Language Models Explain Experts Better Than Experts Themselves
3.80T1 sourcearXiv cs.HC
arXiv cs.HCoriginal source ↗
Source record
Published by arXiv cs.HC (T1 source). The original is at https://arxiv.org/abs/2608.07488.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryAn arXiv study finds that LLMs can extract tacit knowledge from expert behavior better than experts can articulate it themselves. Across two studies, novices using LLM-externalized knowledge made better decisions and approached expert-level performance.
Why it mattersEmpirical evidence that LLM-mediated knowledge transfer can outperform direct expert articulation, relevant to onboarding and documentation workflows.
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