AI RESEARCH
Elicitation Matters: How Prompts and Query Protocols Shape LLM Surrogates under Sparse Observations
arXiv CS.CL
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ArXi:2605.04764v1 Announce Type: new Large language models are increasingly used as surrogate models for low-data optimization, but their optimizer-facing prediction and its uncertainty remain poorly understood. We study the surrogate belief elicited from an LLM under sparse observations, showing that it depends strongly on prompt text and query protocol. We