2025
LLMs for Bayesian Optimization in Scientific Domains: Are We There Yet?
EMNLP 2025
Large language models (LLMs) have recently been proposed as general-purpose agents for experimental design, with claims that they can perform in-context experimental design. We evaluate this hypothesis using open-source instruction-tuned LLMs applied to genetic perturbation and molecular property di