105 citations · 105 across the 4 of their papers we have counts for
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cs.CL2026
Elicitation Matters: How Prompts and Query Protocols Shape LLM Surrogates under Sparse Observations
Ge Lei, Samuel J. Cooper
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 st…
cs.LG2026
From Prompt to Protocol: Fast Charging Batteries with Large Language Models
Ge Lei, Ferran Brosa Planella, Sterling G. Baird +1
Efficiently optimizing battery charging protocols is challenging because each evaluation is slow, costly, and non-differentiable. Many existing approaches address this difficulty b…