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arXiv Paper Proposes White-Box Meta-Prompting Method for Adaptive RAG and Reasoning
A new arXiv preprint introduces CWM, a controllable white-box meta-prompting approach aimed at making retrieval-augmented generation and reasoning more adaptive in large language models. The work targets the problem of deciding how and when models should draw on external knowledge alongside their own reasoning. The abstract is brief, so full evaluation details remain unclear.