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AgenticBBO-Bench compares LLM optimizers across five domains

huggingface.co by Ming Chen et al. Editor score 8/10

The unified finite-budget benchmark covers synthetic functions, hyperparameter tuning, database tuning, chip design, and molecular design; agents beat the best numerical optimizers in four domains. Its controlled comparisons help isolate which agent design choices matter for optimization.

What

AgenticBBO-Bench is a cross-domain benchmark for LLM agents doing black-box optimization under a unified finite-budget protocol.

Method

It covers synthetic functions, hyperparameter optimization, database tuning, chip design, and molecular design; agentic BBO beats direct LLM methods on family-averaged scores in all five.

Why it matters

Its comparisons help engineers assess agent optimizers across tasks and examine choices such as tools, task information, and the LLM’s role.

Read on huggingface.co → Code · 1 stars

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