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The development of plans of action in disaster response scenarios is a time-consuming process.
Modeling disaster response planning
Kovel, J. P · 2000
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A platform for disaster response planning with interdependency simulation functionality
Alsubaie, A., Di Pietro, A., Marti, J., Kini, P., Lin, T. F., Palmieri, S., and Tofani, A · 2013
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A three-stage stochastic facility routing model for disaster response planning
Rennemo, S. J., Rø, K. F., Hvattum, L. M., and Tirado, G · 2014
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Bert: Pre-training of deep bidirectional transformers for language understanding
Devlin, J., Chang, M.-W., Lee, K., and Toutanova, K · 2018
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An empirical study on approaches to ambiguity in emergency and disaster response decision-making
Uhr, C., Tehler, H., and Wester, M · 2018
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Language models are few-shot learners
Brown, T., Mann, B., Ryder, N., Subbiah, M., Kaplan, J. D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al · 2020
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Exploring the limits of transfer learning with a unified text-to-text transformer
Raffel, C., Shazeer, N., Roberts, A., Lee, K., Narang, S., Matena, M., Zhou, Y., Li, W., and Liu, P. J · 2020
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The role of data and information quality during disaster response decision-making
Jayawardene, V., Huggins, T. J., Prasanna, R., and Fakhruddin, B. S · 2021
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Disaster tweets classification in disaster response using bidirectional encoder representations from transformer (bert)
Ningsih, A. and Hadiana, A · 2021
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How many data points is a prompt worth?
Scao, T. L. and Rush, A. M · 2021
Cited alongside, same era.
A bi-objective robust optimization model for disaster response planning under uncertainties
Sun, H., Wang, Y., and Xue, Y · 2021
Cited alongside, same era.
An explanation of in-context learning as implicit bayesian inference
Xie, S. M., Raghunathan, A., Liang, P., and Ma, T · 2021
Cited alongside, same era.
Rethinking the role of demonstrations: What makes in-context learning work?
Min, S., Lyu, X., Holtzman, A., Artetxe, M., Lewis, M., Hajishirzi, H., and Zettlemoyer, L · 2022
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Training language models to follow instructions with human feedback
Ouyang, L., Wu, J., Jiang, X., Almeida, D., Wainwright, C., Mishkin, P., Zhang, C., Agarwal, S., Slama, K., Ray, A., et al · 2022
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Victimfinder: Harvesting rescue requests in disaster response from social media with bert
Zhou, B., Zou, L., Mostafavi, A., Lin, B., Yang, M., Gharaibeh, N., Cai, H., Abedin, J., and Mandal, D · 2022
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Anil, R., Dai, A. M., Firat, O., Johnson, M., Lepikhin, D., Passos, A., Shakeri, S., Taropa, E., Bailey, P., Chen, Z., et al · 2023
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Sparks of artificial general intelligence: Early experiments with GPT-4
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Gnom: Graph neural network enhanced language models for disaster related multilingual text classification
Ghosh, S., Maji, S., and Desarkar, M. S · 2022
Cited alongside, same era.
Bubeck, S., Chandrasekaran, V., Eldan, R., Gehrke, J., Horvitz, E., Kamar, E., Lee, P., Lee, Y. T., Li, Y., Lundberg, S., et al · 2023
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OpenAI · 2023
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