arXiv cs.CLPaper
How You Ask Shapes What You Get: A Theory-Seeded Measurement of Articulation in Advice-Seeking LLM Conversations
The insight is that how users articulate their request matters as much as the request itself, and this structure is invisible to topic-based evals. There's one recurring style worth noting: long-form but information-poor. This is useful for understanding why the same topic generates different model outputs, but the actionability for builders is limited. Most teams will incorporate this into eval design, not product.