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AgenticBBO-Bench:LLM智能体黑盒优化基准发布
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2026年10月9日,研究者在arXiv(Neural and Evolutionary Computing)发布跨领域基准AgenticBBO-Bench,用于评测LLM智能体的黑盒优化能力。该基准覆盖合成函数、超参数优化、数据库调优、芯片设计与分子设计等任务,并采用统一的有限预算评估协议。目前公开信息仅涉及基准的领域覆盖与评估方式,尚无具体评测结果或性能数据披露。
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LatestOct 9
AgenticBBO-Bench基准发布,覆盖五大领域并统一有限预算评估协议。Timeline
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Oct 9, 2026
- arXiv · Neural and Evolutionary ComputingAgenticBBO-Bench:LLM 智能体黑盒优化基准评测
研究者推出跨领域基准 AgenticBBO-Bench,覆盖合成函数、超参数优化、数据库调优、芯片设计与分子设计,统一有限预算评估协议。
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