AINeutralarXiv – CS AI · 7h ago6/10
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Open-Ended Task Discovery via Bayesian Optimization
Researchers introduce Generate-Select-Refine (GSR), a Bayesian optimization framework that dynamically discovers and refines tasks during scientific workflows rather than optimizing fixed objectives. The approach demonstrates superior performance across product development, chemical synthesis, algorithm analysis, and patent repurposing compared to existing LLM-based optimizers.