ClimateBERT-NetZero: Detecting and Assessing Net Zero and Reduction Targets

Language models are few-shot learners

Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al. 2020 · 1901

Earlier work this paper cites.

Roberta: A robustly optimized bert pretraining approach

Original

Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 1907

Earlier work this paper cites.

Distilbert, a distilled version of bert: smaller, faster, cheaper and lighter

Original

Victor Sanh, Lysandre Debut, Julien Chaumond, and Thomas Wolf. 2020 · 1910

Earlier work this paper cites.

Climatext: A dataset for climate change topic detection

Original

Francesco S. Varini, Jordan Boyd-Graber, Massimiliano Ciaramita, and Markus Leippold. 2021 · 2012

Earlier work this paper cites.

SQuAD: 100,000+ questions for machine comprehension of text

Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, and Percy Liang. 2016 · 2016

Earlier work this paper cites.

Attention is all you need

Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017

Earlier work this paper cites.

Bert: Pre-training of deep bidirectional transformers for language understanding

Original

Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019

Earlier work this paper cites.

Training a single ai model can emit as much carbon as five cars in their lifetimes

Karen Hao. 2019 · 2019

Earlier work this paper cites.

Language models are unsupervised multitask learners

Alec Radford, Jeff Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever. 2019 · 2019

Cited alongside, same era.

Wave of net zero emission targets opens window to meeting the paris agreement

Niklas Höhne, Matthew Gidden, Michel den Elzen, Frederic Hans, Claire Fyson, Andreas Geiges, Louise Jeffery, Sofia Gonzales-Zuñiga, Silke Mooldijk, William Hare, and Joeri Rogelj. 2021 · 2021

Cited alongside, same era.

The meaning of net zero and how to get it right

Sam Fankhauser, Stephen M. Smith, Myles Allen, Kaya Axelsson, Thomas Hale, Cameron Hepburn, J. Michael Kendall, Radhika Khosla, Javier Lezaun, Eli Mitchell-Larson, Michael Obersteiner, Lavanya Rajamani, Rosalind Rickaby, Nathalie Seddon, and Thom Wetzer. 2022 · 2022

Cited alongside, same era.

Ask BERT: How Regulatory Disclosure of Transition and Physical Climate Risks Affects the CDS Term Structure*

Julian F Kölbel, Markus Leippold, Jordy Rillaerts, and Qian Wang. 2022 · 2022

Cited alongside, same era.

Training language models to follow instructions with human feedback

Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, et al. 2022 · 2022

Climatebert: A pretrained language model for climate-related text

Nicolas Webersinke, Mathias Kraus, Julia Bingler, and Markus Leippold. 2022 · 2022

Later among the works it cites.

Corporate sustainability reporting

EU. 2023 · 2023

Closest in time.

Meta-analysis on necessary investment shifts to reach net zero pathways in Europe

Lena Klaassen and Bjarne Steffen. 2023 · 2023

Closest in time.

Net zero tracker

John Lang, Camilla Hyslop, Zhi Yi Yeo, Richard Black, Thomas Hale Peter Chalkley, Frederic Hans, Nick Hay, Niklas Höhne, Angel Hsu, Takeshi Kuramochi, Silke Mooldijk, and Steve Smith. 2023 · 2023

Closest in time.

Instructgpt: Ai for generating instructions

OpenAI. 2023 · 2023

Closest in time.

What chatgpt and generative ai mean for science

Chris Stokel-Walker and Richard Van Noorden. 2023 · 2023

Closest in time.