{"schemaVersion":1,"target":{"type":"reading","id":"0ac6f8cba39d4967b25a503d81a7467b323f7aa488cc9981eedb0e68b4057d7b","revision":"014140a2-4116-4871-8a43-a36ac294224f","revisionKind":"publication-id","title":"arXiv cs.AI paper proposes LLINBO for LLM-in-the-Loop Bayesian Optimization","url":"https://escapemeridian.com/readings/arxiv-cs-ai-paper-proposes-llinbo-for-llm-in-the-loop-bayesian-0ac6f8cb"},"source":{"type":"source","id":"https://arxiv.org/abs/2505.14756","revision":"e74c9d25583e30551e5a70393bb6bfb2bb9ee8b64be6ee74c6b5c280524c7c39","revisionKind":"sha256-source-text","title":"LLINBO: Trustworthy LLM-in-the-Loop Bayesian Optimization","url":"https://arxiv.org/abs/2505.14756"},"status":"available","items":[],"next":null,"scope":"Explicit citations in public readings and public file attachments to this reading. Shared topics are not citations. Other artifact types need an explicit reference adapter."}