2026
LABO: LLM-Accelerated Bayesian Optimization through Broad Exploration and Selective Experimentation
ICML 2026poster
The high cost and data scarcity in scientific exploration have motivated the use of large language models (LLMs) as knowledge-driven components in Bayesian optimization (BO). However, existing approaches typically embed LLMs directly into the sampling or surrogate modeling pipeline, without fully le…