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In this research short, we examine the potential of using GPT-4o, a state-of-the-art large language model (LLM) to undertake evidence synthesis and systematic assessment tasks.
When decision-making processes fail: an argument for robust climate adaptation planning in the face of uncertainty
Annika Styczynski, Jedamiah Wolf, Somdatta Tah, and Arnab Bose. 2014 · 2014
Earlier work this paper cites.
Information extraction meets the semantic web: a survey
Jose L Martinez-Rodriguez, Aidan Hogan, and Ivan Lopez-Arevalo. 2020 · 2020
Earlier work this paper cites.
A systematic global stocktake of evidence on human adaptation to climate change
Lea Berrang-Ford, AR Siders, Alexandra Lesnikowski, Alexandra Paige Fischer, Max W Callaghan, Neal R Haddaway, Katharine J Mach, Malcolm Araos, Mohammad Aminur Rahman Shah, Mia Wannewitz, et al. 2021 · 2021
Earlier work this paper cites.
Growth rates of modern science: a latent piecewise growth curve approach to model publication numbers from established and new literature databases
Lutz Bornmann, Robin Haunschild, and Rüdiger Mutz. 2021 · 2021
Earlier work this paper cites.
Is gpt-3 a good data annotator?
Bosheng Ding, Chengwei Qin, Linlin Liu, Yew Ken Chia, Shafiq Joty, Boyang Li, and Lidong Bing. 2022 · 2022
Earlier work this paper cites.
Chain-of-verification reduces hallucination in large language models
Shehzaad Dhuliawala, Mojtaba Komeili, Jing Xu, Roberta Raileanu, Xian Li, Asli Celikyilmaz, and Jason Weston. 2023 · 2023
Earlier work this paper cites.
Llms accelerate annotation for medical information extraction
Akshay Goel, Almog Gueta, Omry Gilon, Chang Liu, Sofia Erell, Lan Huong Nguyen, Xiaohong Hao, Bolous Jaber, Shashir Reddy, Rupesh Kartha, et al. 2023 · 2023
Earlier work this paper cites.
Annollm: Making large language models to be better crowdsourced annotators
Xingwei He, Zhenghao Lin, Yeyun Gong, Alex Jin, Hang Zhang, Chen Lin, Jian Jiao, Siu Ming Yiu, Nan Duan, Weizhu Chen, et al. 2023 · 2023
Cited alongside, same era.
Sai Koneru, Jian Wu, and Sarah Rajtmajer. 2023 · 2023
Cited alongside, same era.
Enhancing large language models with climate resources
Mathias Kraus, Julia Anna Bingler, Markus Leippold, Tobias Schimanski, Chiara Colesanti Senni, Dominik Stammbach, Saeid Ashraf Vaghefi, and Nicolas Webersinke. 2023 · 2023
Cited alongside, same era.
Climatex: Do llms accurately assess human expert confidence in climate statements?
Romain Lacombe, Kerrie Wu, and Eddie Dilworth. 2023 · 2023
Cited alongside, same era.
Structured information extraction from scientific text with large language models
John Dagdelen, Alexander Dunn, Sanghoon Lee, Nicholas Walker, Andrew S Rosen, Gerbrand Ceder, Kristin A Persson, and Anubhav Jain. 2024 · 2024
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Alpapico: Extraction of pico frames from clinical trial documents using llms
Madhusudan Ghosh, Shrimon Mukherjee, Asmit Ganguly, Partha Basuchowdhuri, Sudip Kumar Naskar, and Debasis Ganguly. 2024 · 2024
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Automated fact-checking of climate change claims with large language models
Markus Leippold, Saeid Ashraf Vaghefi, Dominik Stammbach, Veruska Muccione, Julia Bingler, Jingwei Ni, Chiara Colesanti-Senni, Tobias Wekhof, Tobias Schimanski, Glen Gostlow, et al. 2024 · 2024
Closest in time.
Analyzing regional impacts of climate change using natural language processing techniques
Tanwi Mallick, John Murphy, Joshua David Bergerson, Duane R Verner, John K Hutchison, and Leslie-Anne Levy. 2024 · 2024
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The next generation of machine learning for tracking adaptation texts
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Ipcc, 2023: Climate change 2023: Synthesis report, summary for policymakers. contribution of working groups i, ii and iii to the sixth assessment report of the intergovernmental panel on climate change [core writing team, h. lee and j. romero (eds.)]. ipcc, geneva, switzerland
Hoesung Lee, Katherine Calvin, Dipak Dasgupta, Gerhard Krinner, Aditi Mukherji, Peter Thorne, Christopher Trisos, José Romero, Paulina Aldunce, Ko Barret, et al. 2023 · 2023
Cited alongside, same era.
Extracting structured seed-mediated gold nanorod growth procedures from scientific text with llms
Nicholas Walker, Sanghoon Lee, John Dagdelen, Kevin Cruse, Samuel Gleason, Alexander Dunn, Gerbrand Ceder, A Paul Alivisatos, Kristin A Persson, and Anubhav Jain. 2023 · 2023
Cited alongside, same era.
Anne J Sietsma, James D Ford, and Jan C Minx. 2024 · 2024
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Climategpt: Towards ai synthesizing interdisciplinary research on climate change
David Thulke, Yingbo Gao, Petrus Pelser, Rein Brune, Rricha Jalota, Floris Fok, Michael Ramos, Ian van Wyk, Abdallah Nasir, Hayden Goldstein, et al. 2024 · 2024
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