A New Goodness-of-Fit Test for Event Forecasting and Its Application to Credit Defaults. - Andreas Blöchlinger; Markus Leippold (Manag. Sci., 2011)

Generating Fact Checking Summaries for Web Claims. - Rahul Mishra 004; Dhruv Gupta 002; Markus Leippold (W-NUT@EMNLP, 2020)

MuSeM: Detecting Incongruent News Headlines using Mutual Attentive Semantic Matching. - Rahul Mishra 004; Piyush Yadav; Rémi Calizzano; Markus Leippold (ICMLA, 2020)

ClimaText: A Dataset for Climate Change Topic Detection. - Francesco S. Varini; Jordan L. Boyd-Graber; Massimiliano Ciaramita; Markus Leippold (CoRR, 2020)

CLIMATE-FEVER: A Dataset for Verification of Real-World Climate Claims. - Thomas Diggelmann; Jordan L. Boyd-Graber; Jannis Bulian; Massimiliano Ciaramita; Markus Leippold (CoRR, 2020)

Option-Implied Intrahorizon Value at Risk. - Markus Leippold; Nikola Vasiljevic (Manag. Sci., 2020)

ClimateBert: A Pretrained Language Model for Climate-Related Text. - Nicolas Webersinke; Mathias Kraus; Julia Anna Bingler; Markus Leippold (CoRR, 2021)

Towards Climate Awareness in NLP Research. - Daniel Hershcovich; Nicolas Webersinke; Mathias Kraus; Julia Anna Bingler; Markus Leippold (EMNLP, 2022)

A Dataset for Detecting Real-World Environmental Claims. - Dominik Stammbach; Nicolas Webersinke; Julia Anna Bingler; Mathias Kraus; Markus Leippold (CoRR, 2022)

When Does Aggregating Multiple Skills with Multi-Task Learning Work? A Case Study in Financial NLP. - Jingwei Ni; Zhijing Jin 001; Qian Wang; Mrinmaya Sachan; Markus Leippold (ACL (1), 2023)

Environmental Claim Detection. - Dominik Stammbach; Nicolas Webersinke; Julia Anna Bingler; Mathias Kraus; Markus Leippold (ACL (2), 2023)

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)

AFaCTA: Assisting the Annotation of Factual Claim Detection with Reliable LLM Annotators. - Jingwei Ni; Minjing Shi; Dominik Stammbach; Mrinmaya Sachan; Elliott Ash; Markus Leippold (ACL (1), 2024)

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)

Assessing Large Language Models on Climate Information. - Jannis Bulian; Mike S. Schäfer; Afra Amini; Heidi Lam; Massimiliano Ciaramita; Ben Gaiarin; Michelle Chen Huebscher; Christian Buck; Niels Mede; Markus Leippold; Nadine Strauß (ICML, 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)

Navigating the Helpfulness-Truthfulness Trade-Off with Uncertainty-Aware Instruction Fine-Tuning. - Tianyi Wu; Jingwei Ni; Bryan Hooi; Jiaheng Zhang; Elliott Ash; See-Kiong Ng; Mrinmaya Sachan; Markus Leippold (CoRR, 2025)

AI for Climate Finance: Agentic Retrieval and Multi-Step Reasoning for Early Warning System Investments. - Saeid Ario Vaghefi; Aymane Hachcham; Veronica Grasso; Jiska Manicus; Nakiete Msemo; Chiara Colesanti Senni; Markus Leippold (CoRR, 2025)

LEXam: Benchmarking Legal Reasoning on 340 Law Exams. - Yu Fan; Jingwei Ni; Jakob Merane; Etienne Salimbeni; Yang Tian; Yoan Hermstrüwer; Yinya Huang; Mubashara Akhtar; Florian Geering; Oliver Dreyer; Daniel Brunner; Markus Leippold; et al. (CoRR, 2025)

Can Large Language Models Capture Human Annotator Disagreements? - Jingwei Ni; Yu Fan; Vilém Zouhar; Donya Rooein; Alexander Miserlis Hoyle; Mrinmaya Sachan; Markus Leippold; Dirk Hovy; Elliott Ash (CoRR, 2025)

Co-DETECT: Collaborative Discovery of Edge Cases in Text Classification. - Chenfei Xiong; Jingwei Ni; Yu Fan; Vilém Zouhar; Donya Rooein; Lorena Calvo-Bartolomé; Alexander Miserlis Hoyle; Zhijing Jin 001; Mrinmaya Sachan; Markus Leippold; Dirk Hovy; Mennatallah El-Assady; et al. (CoRR, 2025)