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This study explores the capabilities of large language models (LLMs) in providing knowledge about cities and regions on a global scale.
Language models as knowledge bases?
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How much knowledge can you pack into the parameters of a language model?
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311 Service Requests from 2010 to Present
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Semi-Supervised Classification with Graph Convolutional Networks
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A Structured Self-attentive Sentence Embedding
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Improving language understanding by generative pre-training
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Open data on health-related neighbourhood features in Great Britain
Daras, K.; Green, M. A.; Davies, A.; Barr, B.; and Singleton, A. 2019 · 2019
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Commonsense knowledge mining from pretrained models
Davison, J.; Feldman, J.; and Rush, A. M. 2019 · 2019
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A global dataset of CO2 emissions and ancillary data related to emissions for 343 cities
Nangini, C.; Peregon, A.; Ciais, P.; Weddige, U.; Vogel, F.; Wang, J.; Bréon, F.-M.; Bachra, S.; Wang, Y.; Gurney, K.; Yamagata, Y.; Appleby, K.; Telahoun, S.; Canadell, J. G.; Grübler, A.; Dhakal, S.; and Creutzig, F. 2019 · 2019
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CO2 emission accounts of Russia’s constituent entities 2005-2019
Xiao, H.; Zhao, W.; Shan, Y.; and Guan, D. 2020 · 2019
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City-level livestock methane emissions in China from 2010 to 2020
Du, M.; Kang, X.; Liu, Q.; et al. 2024 · 2020
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How can we know what language models know?
Jiang, Z.; Xu, F. F.; Araki, J.; and Neubig, G. 2020 · 2020
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Product, building, and infrastructure material stocks dataset for 337 Chinese cities between 1978 and 2020
Li, X.; Song, L.; Liu, Q.; Ouyang, X.; Mao, T.; Lu, H.; Liu, L.; Liu, X.; Chen, W.; and Liu, G. 2023 · 2020
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Access to mass rapid transit in OECD urban areas
Verbavatz, V.; and Barthelemy, M. 2020 · 2020
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LoRA: Low-Rank Adaptation of Large Language Models
Hu, E. J.; Wallis, P.; Allen-Zhu, Z.; Li, Y.; Wang, S.; Wang, L.; Chen, W.; et al. 2021 · 2021
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Monthly direct and indirect greenhouse gases emissions from household consumption in the major Japanese cities
Long, Y.; Jiang, Y.; Chen, P.; Sharifi, A.; Gasparatos, A.; Wu, Y.; Kenichiro, K.; guan, D.; Yoshida, Y.; and Shigetomi, Y. 2021 · 2021
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Learning how to ask: Querying LMs with mixtures of soft prompts
Qin, G.; and Eisner, J. 2021 · 2021
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Can language models be biomedical knowledge bases?
Sung, M.; Lee, J.; Yi, S.; Jeon, M.; Kim, S.; and Kang, J. 2021 · 2021
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A comprehensive city-level final energy consumption dataset including renewable energy for China, 2005–2021
Yang, G.; Zhang, G.; Cao, D.; Gao, X.; Wang, X.; Yang, S.; Jiang, P.; Zha, D.; and Shan, Y. 2024 · 2021
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Factual Probing Is [MASK]: Learning vs. Learning to Recall
Zhong, Z.; Friedman, D.; and Chen, D. 2021 · 2021
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Zillow Research Data
Zillow, I. 2024 · 2021
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Chicago Crimes - 2014
Chicago Police Department. 2024 · 2024
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PDI (Police Data Initiative) Crime Incidents
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Transportation Network Providers - Trips (2023-)
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A global dataset of publicly available dengue case count data
Clarke, J.; Lim, A.; Gupte, P.; et al. 2024 · 2024
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Taxi Trips in 2017
Department of For Hire Vehicles. 2022 · 2024
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Air Quality Health Risk Assessments for cities and urban centres
European Environment Agency. 2021 · 2024
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Large language models are zero-shot time series forecasters
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Time-aware language models as temporal knowledge bases
Dhingra, B.; Cole, J. R.; Eisenschlos, J. M.; Gillick, D.; Eisenstein, J.; and Cohen, W. W. 2022 · 2022
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Chain-of-thought prompting elicits reasoning in large language models
Wei, J.; Wang, X.; Schuurmans, D.; Bosma, M.; Xia, F.; Chi, E.; Le, Q. V.; Zhou, D.; et al. 2022 · 2022
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Tempo: Prompt-based generative pre-trained transformer for time series forecasting
Cao, D.; Jia, F.; Arik, S. O.; Pfister, T.; Zheng, Y.; Ye, W.; and Liu, Y. 2023 · 2023
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Provisional COVID-19 Death Counts in the United States by County
CDC. 2023 · 2023
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Llm4ts: Two-stage fine-tuning for time-series forecasting with pre-trained llms
Chang, C.; Peng, W.-C.; and Chen, T.-F. 2023 · 2023
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Healthy Cities, A comprehensive dataset for environmental determinants of health in England cities
Han, Z.; Xia, T.; Xi, Y.; et al. 2023 · 2023
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Time-LLM: Time Series Forecasting by Reprogramming Large Language Models
Jin, M.; Wang, S.; Ma, L.; Chu, Z.; Zhang, J. Y.; Shi, X.; Chen, P.-Y.; Liang, Y.; Li, Y.-F.; Pan, S.; et al. 2023 · 2023
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Towards Responsible and Reliable Traffic Flow Prediction with Large Language Models
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Position: What Can Large Language Models Tell Us about Time Series Analysis
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Large language models: A survey
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TLC Trip Record Data
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Austin 311 Service Requests
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Cincinnati 311 Non-Emergency Service Requests
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NYPD Arrests Data (Historic)
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TomTom Traffic Index
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City-level water withdrawal and scarcity accounts of China
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