% ============================================================================ % Highlights — separate file required at Elsevier submission % (3-5 bullets, max 85 characters each, results-oriented) % ============================================================================ \documentclass[12pt]{article} \usepackage[utf8]{inputenc} \usepackage[T1]{fontenc} \begin{document} \section*{Highlights} \begin{itemize} \item LLM and vision models turn listing text and photos into hedonic regressors \item Schema-constrained decoding makes AI outputs reproducible econometric variables \item Two AI feature layers add four points of $R^2$ to a rich hedonic model \item Façade-vision features give the largest out-of-sample gain of any block \item Curb appeal, materials, and luxury cues carry sensible implicit prices \end{itemize} \end{document}