A Closer Look at Agentic BBO: Benchmarking LLM Agents for Black-Box Optimization
A research paper introduces AgenticBBO-Bench, a benchmark for evaluating agentic black-box optimization (BBO) using large language models (LLMs) across multiple domains. The benchmark shows that agentic BBO outperforms direct LLM-based methods and numerical optimizers in several domains.
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