3 papers
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…
cs.CL2025
Layerwise Recall and the Geometry of Interwoven Knowledge in LLMs
Ge Lei, Samuel J. Cooper
This study explores how large language models (LLMs) encode interwoven scientific knowledge, using chemical elements and LLaMA-series models as a case study. We identify a 3D spira…