How reliable are retrieval-augmented and standard ChatGPT models to support flood susceptibility mapping?

This paper evaluates the performance of baseline and domain-augmented ChatGPT models for literature-based knowledge support in flood susceptibility mapping (FSM) using machine Learning approaches. To assess this, we designed five key questions related to FSM, with benchmark responses derived from ou...

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Bibliographic Details

Main Authors:	Ali Pourzangbar, Mário J. Franca
Format:	Artigo
Language:	Inglês
Published:	Cambridge University Press 2026-01-01
Series:	Environmental Data Science
Subjects:	ChatGPT flood susceptibility mapping large language models machine learning retrieval-augmented generation
Online Access:	https://www.cambridge.org/core/product/identifier/S2634460226100375/type/journal_article
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