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...
محفوظ في:
| المؤلفون الرئيسيون: | , |
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| التنسيق: | Artigo |
| اللغة: | Inglês |
| منشور في: |
Cambridge University Press
2026-01-01
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| سلاسل: | Environmental Data Science |
| الموضوعات: | |
| الوصول للمادة أونلاين: | https://www.cambridge.org/core/product/identifier/S2634460226100375/type/journal_article |
| الوسوم: |
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