| 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 | 78 | 2023 |
| Chatreport: Democratizing sustainability disclosure analysis through llm-based tools J Ni, J Bingler, C Colesanti-Senni, M Kraus, G Gostlow, T Schimanski, ... EMNLP, see https://aclanthology.org/2023.emnlp-demo.3/, 2023 | 37* | 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 | 26 | 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 | 24 | 2024 |
| Climatebert-netzero: Detecting and assessing net zero and reduction targets T Schimanski, J Bingler, C Hyslop, M Kraus, M Leippold EMNLP, see https://aclanthology.org/2023.emnlp-main.975/, 2023 | 18 | 2023 |
| Towards faithful and robust llm specialists for evidence-based question-answering T Schimanski, J Ni, M Kraus, E Ash, M Leippold ACL, see https://aclanthology.org/2024.acl-long.105/, 2024 | 16 | 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 | 10 | 2024 |
| Using AI to assess corporate climate transition disclosures C Colesanti Senni, T Schimanski, J Bingler, J Ni, M Leippold Environmental Research Communications, 2024 | 6* | 2024 |
| Exploring Nature: Datasets and Models for Analyzing Nature-Related Disclosures T Schimanski, CC Senni, G Gostlow, J Ni, T Yu, M Leippold AAAI, see https://sites.google.com/view/aifin-aaai2024/accepted-papers, 2023 | 4 | 2023 |
| Integrating artificial intelligence with expert knowledge in global environmental assessments: opportunities, challenges and the way ahead V Muccione, SA Vaghefi, J Bingler, SK Allen, M Kraus, G Gostlow, ... Regional Environmental Change 24 (3), 121, 2024 | 3 | 2024 |
| Harnessing AI to assess corporate adaptation plans on alignment with climate adaptation and resilience goals RS Martín, N Ranger, T Schimanski, M Leippold Swiss Finance Institute Research Paper Series, 2024 | 1 | 2024 |
| Proceedings of the 1st Workshop on Natural Language Processing Meets Climate Change (ClimateNLP 2024) D Stammbach, J Ni, T Schimanski, K Dutia, A Singh, J Bingler, ... Proceedings of the 1st Workshop on Natural Language Processing Meets Climate …, 2024 | | 2024 |
| Using AI to Assess the Decision-Usefulness of Corporates' Nature-related Disclosures CC Senni, S Vaghefi, T Schimanski, T Manekar, M Leippold Swiss Finance Institute Research Paper Series, 2024 | | 2024 |
| DIRAS: Efficient LLM-Assisted Annotation of Document Relevance in Retrieval Augmented Generation J Ni, T Schimanski, M Lin, M Sachan, E Ash, M Leippold Accepted to NAACL 2025, arXiv preprint arXiv:2406.14162, 2024 | | 2024 |
| ClimRetrieve: A Benchmarking Dataset for Information Retrieval from Corporate Climate Disclosures T Schimanski, J Ni, R Spacey, N Ranger, M Leippold EMNLP, https://aclanthology.org/2024.emnlp-main.969/, 2024 | | 2024 |
| How to use the power of AI to reduce the impact of climate change on Switzerland JS Adams, C Altantzis, T Beucler, J Bingler, S Brown, T Brunschwiler, ... Swiss Academy of Engineering Sciences, SATW, 2024 | | 2024 |
Markus LeippoldUniversity of Zurich, Department of Finance確認したメール アドレス: bf.uzh.ch