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SPIN Processed News Frame: The Hype
Out-Of-The-Loop Multi-Fidelity Bayesian Optimization
A new multi-fidelity Bayesian optimization method is proposed that incorporates historical high-fidelity data and task descriptors to improve performance when the highest-fidelity function cannot be queried during optimization.
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arXiv Machine Learning
Aug 6, 2026
SPIN Processed News Frame: The Hype
BBOWP-Bench: Evaluating LLMs on Black-Box Optimization Word Problems
Researchers introduced BBOWP-Bench, a new benchmark suite to evaluate large language models on black-box optimization word problems—where LLMs must infer both search space design and algorithm selection from natural-language problem descriptions.
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arXiv Computation and Language
Aug 5, 2026