2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CL2024★ 2 cited
Responsible Retrieval Augmented Generation for Climate Decision Making from Documents
Matyas Juhasz, Kalyan Dutia, Henry Franks +3
Climate decision making is constrained by the complexity and inaccessibility of key information within lengthy, technical, and multi-lingual documents. Generative AI technologies o…
cs.CY2024
Identifying Climate Targets in National Laws and Policies using Machine Learning
Matyas Juhasz, Tina Marchand, Roshan Melwani +4
Quantified policy targets are a fundamental element of climate policy, typically characterised by domain-specific and technical language. Current methods for curating comprehensive…