A Semiotics-Aware Framework for Evaluating Fidelity and Coverage in Natural Language Generation.

arXiv:2609.26527v1 Announce Type: cross Abstract: When two texts describe the same expression, standard metrics based on lexical overlap or whole-text similarity may fail to detect meaningful differences in how that expression is framed. We propose a framework