Automated Fact-Checking of Climate Change Claims with Large Language Models

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.

Fact Checking

Exploring Nature: Datasets and Models for Analyzing Nature-Related Disclosures

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.

CHATREPORT: Democratizing Sustainability Disclosure Analysis through LLM-based Tools

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?

Hallucination

Paradigm Shift in Sustainability Disclosure Analysis: Empowering Stakeholders with CHATREPORT, a Language Model-Based Tool

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.

Benchmarking Language Modelling