Evidence-Gated LLM Priors for Multi-Objective Bayesian Optimization 事件

Evidence-Gated LLM Priors for Multi-Objective Bayesian Optimization arXiv:2606.01730v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used as heuristic advisors for black-box optimization, yet their suggestions and self-reported confidence are not necessarily calibrated to downstream objective values. This issue becomes more pronounced in multi-objective Bayesian optimization, where different objectives may require different expert knowledge and where an LLM expert c