Retrieval-Assisted Scalar Grounding for Natural-Language Optimization: A Diagnostic Study
Abstract Retrieval and structural checks can make natural-language optimization outputs appear usable even when numerical grounding—assigning textual quantities to model parameters—is incomplete. We examine this diagnostic gap through three questions: fixed-catalog schema identification, the validity of coverage/type r...