CHATREPORT: Democratizing Sustainability Disclosure Analysis through LLM-based Tools. - Jingwei Ni; Julia Anna Bingler; Chiara Colesanti Senni; Mathias Kraus; Glen Gostlow; Tobias Schimanski; Dominik Stammbach; Saeid Ashraf Vaghefi; Qian Wang; Nicolas Webersinke; Tobias Wekhof; Tingyu Yu; et al. (EMNLP (Demos), 2023)

ClimateBERT-NetZero: Detecting and Assessing Net Zero and Reduction Targets. - Tobias Schimanski; Julia Anna Bingler; Mathias Kraus; Camilla Hyslop; Markus Leippold (EMNLP, 2023)

Enhancing Large Language Models with Climate Resources. - Mathias Kraus; Julia Anna Bingler; Markus Leippold; Tobias Schimanski; Chiara Colesanti Senni; Dominik Stammbach; Saeid Ashraf Vaghefi; Nicolas Webersinke (CoRR, 2023)

chatClimate: Grounding Conversational AI in Climate Science. - Saeid Ashraf Vaghefi; Qian Wang; Veruska Muccione; Jingwei Ni; Mathias Kraus; Julia Anna Bingler; Tobias Schimanski; Chiara Colesanti Senni; Nicolas Webersinke; Christian Huggel; Markus Leippold (CoRR, 2023)

Exploring Nature: Datasets and Models for Analyzing Nature-Related Disclosures. - Tobias Schimanski; Chiara Colesanti Senni; Glen Gostlow; Jingwei Ni; Tingyu Yu; Markus Leippold (CoRR, 2023)

Towards Faithful and Robust LLM Specialists for Evidence-Based Question-Answering. - Tobias Schimanski; Jingwei Ni; Mathias Kraus; Elliott Ash; Markus Leippold (ACL (1), 2024)

ClimRetrieve: A Benchmarking Dataset for Information Retrieval from Corporate Climate Disclosures. - Tobias Schimanski; Jingwei Ni; Roberto Martín; Nicola Ranger; Markus Leippold (EMNLP, 2024)

Automated Fact-Checking of Climate Change Claims with Large Language Models. - Markus Leippold; Saeid Ashraf Vaghefi; Dominik Stammbach; Veruska Muccione; Julia Anna Bingler; Jingwei Ni; Chiara Colesanti Senni; Tobias Wekhof; Tobias Schimanski; Glen Gostlow; Tingyu Yu; Jürg Luterbacher; et al. (CoRR, 2024)

ClimRetrieve: A Benchmarking Dataset for Information Retrieval from Corporate Climate Disclosures. - Tobias Schimanski; Jingwei Ni; Roberto Spacey; Nicola Ranger; Markus Leippold (CoRR, 2024)

DIRAS: Efficient LLM-Assisted Annotation of Document Relevance in Retrieval Augmented Generation. - Jingwei Ni; Tobias Schimanski; Meihong Lin; Mrinmaya Sachan; Elliott Ash; Markus Leippold (CoRR, 2024)

DIRAS: Efficient LLM Annotation of Document Relevance for Retrieval Augmented Generation. - Jingwei Ni; Tobias Schimanski; Meihong Lin; Mrinmaya Sachan; Elliott Ash; Markus Leippold (NAACL (Long Papers), 2025)