Prompt lexical sensitivity in large language models: a large-scale mechanistic analysis of 132,000 prompt variants reveals a scaling law of prompt stability
Read the original at arxiv.org→arXiv:2608.20349v1 Announce Type: new Abstract: Large Language Models (LLMs) exhibit extreme sensitivity to surface-level prompt variations, in which minor lexical changes can trigger disproportionate performance...
Original headline: "Beyond Prompt Engineering: A Systematic Analysis of Prompt Lexical Sensitivity and Its Impacts on Quality"
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- Aug 24, 04:00 UTC arXiv cs.CL lead source Beyond Prompt Engineering: A Systematic Analysis of Prompt Lexical Sensitivity and Its Impacts on Quality