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Published at November 15

Towards unearthing neglected climate innovations from scientific literature using Large Language Models

cs.IR

cs.AI

cs.CL

Released Date: November 15, 2024

Authors: César Quilodrán-Casas¹, Christopher Waite¹, Nicole Alhadeff¹, Diyona Dsouza², Cathal Hughes¹, Larissa Kunstel-Tabet³, Alyssa Gilbert³

Aff.: ¹Undaunted, Grantham Institute for Climate Change and the Environment, Imperial College London; ²Dyson School of Engineering, Imperial College London; ³Department of Earth Science and Engineering, Imperial College London

Arxiv: http://arxiv.org/abs/2411.10055v1

Question	Few-shot	Context	No Context
Q1 (Mitigation)	0.5545	0.5848	0.5473
Q2 (Technology)	0.1283	0.4151	0.1386
Q3 (Readiness)	0.1914	0.2865	0.2219
Q4 (Market)	0.4188	0.4156	0.4175
Q5 (Tech Enabling)	-0.0214	0.0071	0.0317
Q6 (Eco Focus)	0.5459	0.7043	0.5945
Q7 (Neglectedness)	-0.0076	-0.2560	-0.0630