BrownTMannBRyderN, et al. (2020) Language models are few-shot learners. In: LarochelleHRanzatoMHadsellR, et al. (eds) 34th Conference on Neural Information Processing Systems. NeurIPS, Vancouver, Canada, pp 1877–1901
4.
DateKAllweilY (2022) Towards a new image archive for the built environment. Environment and Planning B: Urban Analytics and City Science49(2):519–534. https://doi.org/10.1177/23998083211011474
5.
DevlinJChangMWLeeK, et al. (2018) BERT: pre-training of deep bidirectional transformers for language understanding. ArXiv Preprint arXiv:181004805
6.
FengYDingLXiaoG (2023) GeoQAMap - Geographic Question Answering with maps leveraging LLM and open knowledge base. In: BeechamRLongJASmithD, et al. (eds) 12th International Conference on Geographic Information Science. Dagstuhl Publishing, Leeds, England, pp 28:1–28:7. https://doi.org/10.4230/LIPIcs.GIScience.2023.28
HuYMaiGCundyC, et al. (2023) Geo-knowledge-guided GPT models improve the extraction of location descriptions from disaster-related social media messages. International Journal of Geographical Information Science37(11):2289–2318. https://doi.org/10.1080/13658816.2023.2266495
9.
JangKMChenJKangY, et al. (2023) Understanding place identity with generative AI. In: BeechamRLongJASmithD, et al. (eds) 12th International Conference on Geographic Information Science. Dagstuhl Publishing, Leeds, England, pp 41:1– 41:6, https://doi.org/10.4230/LIPIcs.GIScience.2023.41
10.
LiSMaSTongD, et al. (2022) Associations between the quality of street space and the attributes of the built environment using large volumes of street view pictures. Environment and Planning B: Urban Analytics and City Science49(4):1197–1211. https://doi.org/10.1177/23998083211056341
NingHYeXChenZ, et al. (2022) Sidewalk extraction using aerial and street view images. Environment and Planning B: Urban Analytics and City Science49(1):7–22. https://doi.org/10.1177/2399808321995817
13.
OuyangLWuJJiangX, et al. (2022) Training language models to follow instructions with human feedback. In: KoyejoSMohamedSAgarwalA, et al. (eds) Advances in Neural Information Processing Systems. New Orleans, LA: NEURIPS, 35, 27730–27744.
ZhouZZhongTLiuM, et al. (2023) Evaluating building color harmoniousness in a historic district intelligently: an algorithm-driven approach using street- view images. Environment and Planning B: Urban Analytics and City Science50(7):1838–1857. https://doi.org/10.1177/23998083221146539
