Evidence-Gated LLM Priors For Bayesian Optimization
New research explores using large language models as heuristic advisors for black-box optimization. The study investigates how LLMs' suggestions and self-reported confidence can be leveraged for multi-objective Bayesian optimization.
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Sources · 7 independent
Modernity/arxiv
“Evidence-Gated LLM Priors for Multi-Objective Bayesian Optimization. Authors: Jiangyu Chen, Banyi Abstract: Large language models (LLMs) are increasingly used as heuristic advisors for black-box optimization, yet their suggestions and self-reported confidence are not”
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