no code implementations • 13 Feb 2024 • Tobias Schimanski, Jingwei Ni, Mathias Kraus, Elliott Ash, Markus Leippold
One avenue in reaching this goal is basing the answers on reliable sources.
no code implementations • 23 Jan 2024 • Markus Leippold, Saeid Ashraf Vaghefi, Dominik Stammbach, Veruska Muccione, Julia Bingler, Jingwei Ni, Chiara Colesanti-Senni, Tobias Wekhof, Tobias Schimanski, Glen Gostlow, Tingyu Yu, Juerg Luterbacher, Christian Huggel
This paper presents Climinator, a novel AI-based tool designed to automate the fact-checking of climate change claims.
no code implementations • 28 Dec 2023 • Tobias Schimanski, Chiara Colesanti Senni, Glen Gostlow, Jingwei Ni, Tingyu Yu, Markus Leippold
Our approach is the first to respond to calls to assess corporate nature communication on a large scale.
no code implementations • 12 Oct 2023 • Tobias Schimanski, Julia Bingler, Camilla Hyslop, Mathias Kraus, Markus Leippold
Public and private actors struggle to assess the vast amounts of information about sustainability commitments made by various institutions.
1 code implementation • 28 Jul 2023 • Jingwei Ni, Julia Bingler, Chiara Colesanti-Senni, Mathias Kraus, Glen Gostlow, Tobias Schimanski, Dominik Stammbach, Saeid Ashraf Vaghefi, Qian Wang, Nicolas Webersinke, Tobias Wekhof, Tingyu Yu, Markus Leippold
In the face of climate change, are companies really taking substantial steps toward more sustainable operations?
no code implementations • 27 Jun 2023 • Jingwei Ni, Julia Bingler, Chiara Colesanti-Senni, Mathias Kraus, Glen Gostlow, Tobias Schimanski, Dominik Stammbach, Saeid Ashraf Vaghefi, Qian Wang, Nicolas Webersinke, Tobias Wekhof, Tingyu Yu, Markus Leippold
This paper introduces a novel approach to enhance Large Language Models (LLMs) with expert knowledge to automate the analysis of corporate sustainability reports by benchmarking them against the Task Force for Climate-Related Financial Disclosures (TCFD) recommendations.
no code implementations • 11 Apr 2023 • Saeid Ashraf Vaghefi, Qian Wang, Veruska Muccione, Jingwei Ni, Mathias Kraus, Julia Bingler, Tobias Schimanski, Chiara Colesanti-Senni, Nicolas Webersinke, Christrian Huggel, Markus Leippold
The answers and their sources were evaluated by our team of IPCC authors, who used their expert knowledge to score the accuracy of the answers from 1 (very-low) to 5 (very-high).
no code implementations • 31 Mar 2023 • Mathias Kraus, Julia Anna Bingler, Markus Leippold, Tobias Schimanski, Chiara Colesanti Senni, Dominik Stammbach, Saeid Ashraf Vaghefi, Nicolas Webersinke
Large language models (LLMs) have significantly transformed the landscape of artificial intelligence by demonstrating their ability in generating human-like text across diverse topics.