Chatclimate: Grounding conversational AI in climate science SA Vaghefi, D Stammbach, V Muccione, J Bingler, J Ni, M Kraus, S Allen, ... Communications Earth & Environment 4 (1), 480, 2023 | 31* | 2023 |
Enhancing large language models with climate resources M Kraus, JA Bingler, M Leippold, T Schimanski, CC Senni, D Stammbach, ... arXiv preprint arXiv:2304.00116, 2023 | 19 | 2023 |
CHATREPORT: Democratizing Sustainability Disclosure Analysis through LLM-based Tools J Ni, J Bingler, C Colesanti-Senni, M Kraus, G Gostlow, T Schimanski, ... arXiv preprint arXiv:2307.15770, 2023 | 12* | 2023 |
Climatebert-netzero: Detecting and assessing net zero and reduction targets T Schimanski, J Bingler, C Hyslop, M Kraus, M Leippold arXiv preprint arXiv:2310.08096, 2023 | 6 | 2023 |
Bridging the gap in ESG measurement: Using NLP to quantify environmental, social, and governance communication T Schimanski, A Reding, N Reding, J Bingler, M Kraus, M Leippold Finance Research Letters 61, 104979, 2024 | 2 | 2024 |
Combining AI and Domain Expertise to Assess Corporate Climate Transition Disclosures C Colesanti Senni, T Schimanski, J Bingler, J Ni, M Leippold Available at SSRN 4826207, 2024 | | 2024 |
Towards Faithful and Robust LLM Specialists for Evidence-Based Question-Answering T Schimanski, J Ni, M Kraus, E Ash, M Leippold arXiv preprint arXiv:2402.08277, 2024 | | 2024 |
Automated Fact-Checking of Climate Change Claims with Large Language Models M Leippold, SA Vaghefi, D Stammbach, V Muccione, J Bingler, J Ni, ... arXiv preprint arXiv:2401.12566, 2024 | | 2024 |
Exploring Nature: Datasets and Models for Analyzing Nature-Related Disclosures T Schimanski, CC Senni, G Gostlow, J Ni, T Yu, M Leippold arXiv preprint arXiv:2312.17337, 2023 | | 2023 |