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Large language models (LLMs) have significantly transformed the landscape of artificial intelligence by demonstrating their ability in generating human-like text across diverse topics.
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 · 1901
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The Economics of Climate Change: The Stern Review
Stern, N. 2007 · 2007
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The real costs of financial efficiency when some information is soft
Edmans, A.; Heinle, M. S.; and Huang, C. 2016 · 2016
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Quantifying the economic risks of climate change
Diaz, D.; and Moore, F. 2017 · 2017
Earlier work this paper cites.
The role of CO2 capture and utilization in mitigating climate change
Mac Dowell, N.; Fennell, P. S.; Shah, N.; and Maitland, G. C. 2017 · 2017
Earlier work this paper cites.
Attention is all you need
Vaswani, A.; Shazeer, N.; Parmar, N.; Uszkoreit, J.; Jones, L.; Gomez, A. N.; Kaiser, Ł.; and Polosukhin, I. 2017 · 2017
Earlier work this paper cites.
Training a single AI model can emit as much carbon as five cars in their lifetimes
Hao, K. 2019 · 2019
Earlier work this paper cites.
Language Models are Unsupervised Multitask Learners
Radford, A.; Wu, J.; Child, R.; Luan, D.; Amodei, D.; and Sutskever, I. 2019 · 2019
Earlier work this paper cites.
Ask BERT: How regulatory disclosure of transition and physical climate risks affects the CDS term structure
Kölbel, J. F.; Leippold, M.; Rillaerts, J.; and Wang, Q. 2020 · 2020
Cited alongside, same era.
Climate Change and Financial Stability
Brunetti, C.; Dennis, B.; Gates, D.; Hancock, D.; Ignell, D.; Kiser, E. K.; Kotta, G.; Kovner, A.; Rosen, R. J.; and Tabor, N. K. 2021 · 2021
Cited alongside, same era.
Machine-learning-based evidence and attribution mapping of 100,000 climate impact studies
Callaghan, M.; Schleussner, C.-F.; Nath, S.; Lejeune, Q.; Knutson, T. R.; Reichstein, M.; Hansen, G.; Theokritoff, E.; Andrijevic, M.; Brecha, R. J.; et al. 2021 · 2021
Cited alongside, same era.
Lora: Low-rank adaptation of large language models
Hu, E. J.; Shen, Y.; Wallis, P.; Allen-Zhu, Z.; Li, Y.; Wang, S.; Wang, L.; and Chen, W. 2021 · 2021
Cited alongside, same era.
Multitask Prompted Training Enables Zero-Shot Task Generalization
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 · 2022
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A Dataset for Detecting Real-World Environmental Claims
Stammbach, D.; Webersinke, N.; Bingler, J. A.; Kraus, M.; and Leippold, M. 2022 · 2022
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ClimateBERT: A Pretrained Language Model for Climate-Related Text
Webersinke, N.; Kraus, M.; Bingler, J.; and Leippold, M. 2022 · 2022
Later among the works it cites.
Pause Giant AI Experiments: An Open Letter
Future of Life Institute. 2023 · 2023
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The Promise and Peril of Generative AI
Jo, A. 2023 · 2023
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TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs
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Sanh, V.; Webson, A.; Raffel, C.; Bach, S. H.; Sutawika, L.; Alyafeai, Z.; Chaffin, A.; Stiegler, A.; Scao, T. L.; Raja, A.; Dey, M.; Bari, M. S.; Xu, C.; Thakker, U.; Sharma, S. S.; Szczechla, E.; Kim, T.; Chhablani, G.; Nayak, N.; Datta, D.; Chang, J.; Jiang, M. T.-J.; Wang, H.; Manica, M.; Shen, S.; Yong, Z. X.; Pandey, H.; Bawden, R.; Wang, T.; Neeraj, T.; Rozen, J.; Sharma, A.; Santilli, A.; Fevry, T.; Fries, J. A.; Teehan, R.; Biderman, S.; Gao, L.; Bers, T.; Wolf, T.; and Rush, A. M. 2021 · 2021
Cited alongside, same era.
Cheap talk and cherry-picking: What ClimateBert has to say on corporate climate risk disclosures
Bingler, J. A.; Kraus, M.; Leippold, M.; and Webersinke, N. 2022 · 2022
Cited alongside, same era.
Palm: Scaling language modeling with pathways
Chowdhery, A.; Narang, S.; Devlin, J.; Bosma, M.; Mishra, G.; Roberts, A.; Barham, P.; Chung, H. W.; Sutton, C.; Gehrmann, S.; et al. 2022 · 2022
Cited alongside, same era.
Towards Climate Awareness in NLP Research
Hershcovich, D.; Webersinke, N.; Kraus, M.; Bingler, J. A.; and Leippold, M. 2022 · 2022
Cited alongside, same era.
LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale
Dettmers, T.; Lewis, M.; Belkada, Y.; and Zettlemoyer, L. 2022a
Cited in the paper.
8-bit Optimizers via Block-wise Quantization
Dettmers, T.; Lewis, M.; Shleifer, S.; and Zettlemoyer, L. 2022b
Cited in the paper.
Recommendations of the Task Force on Climate-Related Financial Disclosures
Financial Stability Board. 2017a
Cited in the paper.
Task force on climate-related financial disclosures: Overview
Financial Stability Board. 2017b
Cited in the paper.
Liang, Y.; Wu, C.; Song, T.; Wu, W.; Xia, Y.; Liu, Y.; Ou, Y.; Lu, S.; Ji, L.; Mao, S.; Wang, Y.; Shou, L.; Gong, M.; and Duan, N. 2023 · 2023
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Toolformer: Language models can teach themselves to use tools
Schick, T.; Dwivedi-Yu, J.; Dessì, R.; Raileanu, R.; Lomeli, M.; Zettlemoyer, L.; Cancedda, N.; and Scialom, T. 2023 · 2023
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Llama: Open and efficient foundation language models
Touvron, H.; Lavril, T.; Izacard, G.; Martinet, X.; Lachaux, M.-A.; Lacroix, T.; Rozière, B.; Goyal, N.; Hambro, E.; Azhar, F.; et al. 2023 · 2023
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