Markus Leippold

According to our database, Markus Leippold authored at least 39 papers between 2011 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

UsefulBench: Towards Decision-Useful Information as a Target for Information Retrieval.

Tobias Schimanski, Stefanie Lewandowski, Christian Woerle, Nicola Reichenau, Yauheni Huryn, Markus Leippold

CoRR, April, 2026

AI-Assisted Scientific Assessment: A Case Study on Climate Change.

Christian Buck, Levke Caesar, Michelle Chen Huebscher, Massimiliano Ciaramita, Erich Fischer, Zeke Hausfather, Özge Kart Tokmak, Reto Knutti, Markus Leippold, Joseph Ludescher, Katharine Mach, Sofia Palazzo Corner, Kasra Rafiezadeh Shahi, Johan Rockström, Joeri Rogelj, Boris Sakschewski

CoRR, February, 2026

pdfQA: Diverse, Challenging, and Realistic Question Answering over PDFs.

Tobias Schimanski, Imene Kolli, Yu Fan, Saeid Ario Vaghefi, Jingwei Ni, Elliott Ash, Markus Leippold

CoRR, January, 2026

AI for Climate Finance: Agentic Retrieval and Multi-Step Reasoning for Early Warning System Investments.

Saeid Ario Vaghefi, Aymane Hachcham, Veronica Grasso, Nakiete Msemo, Chiara Colesanti Senni, Markus Leippold

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

Actors, Frames and Arguments: A Multi-Decade Computational Analysis of Climate Discourse in Financial News using Large Language Models.

Ruiran Su, Markus Leippold, Janet B. Pierrehumbert

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

Can Reasoning Help Large Language Models Capture Human Annotator Disagreement?

Jingwei Ni, Yu Fan, Vilém Zouhar, Donya Rooein, Alexander Miserlis Hoyle, Mrinmaya Sachan, Markus Leippold, Dirk Hovy, Elliott Ash

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025

CLINB: A Climate Intelligence Benchmark for Foundational Models.

Michelle Chen Huebscher, Katharine Mach, Aleksandar Stanic, Markus Leippold, Ben Gaiarin, Zeke Hausfather, Elisa Rawat, Erich Fischer, Massimiliano Ciaramita, Joeri Rogelj, Christian Buck, Lierni Sestorain Saralegu, Reto Knutti

CoRR, November, 2025

Reasoning with Confidence: Efficient Verification of LLM Reasoning Steps via Uncertainty Heads.

Jingwei Ni, Ekaterina Fadeeva, Tianyi Wu, Mubashara Akhtar, Jiaheng Zhang, Elliott Ash, Markus Leippold, Timothy Baldwin, See-Kiong Ng, Artem Shelmanov, Mrinmaya Sachan

CoRR, November, 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, June, 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, Mrinmaya Sachan, Alexander Stremitzer, Christoph Engel, Elliott Ash, Joel Niklaus

CoRR, May, 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, April, 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, February, 2025

DIRAS: Efficient LLM Annotation of Document Relevance for Retrieval Augmented Generation.

Jingwei Ni, Tobias Schimanski, Meihong Lin, Mrinmaya Sachan, Elliott Ash, Markus Leippold

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 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, Mrinmaya Sachan, Markus Leippold, Dirk Hovy, Mennatallah El-Assady, Elliott Ash

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Automated Evidence Extraction and Scoring for Corporate Climate Policy Engagement: A Multilingual RAG Approach.

Imene Kolli, Saeid Ario Vaghefi, Chiara Colesanti Senni, Shantam Raj, Markus Leippold

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

ReportGRI: Automating GRI Alignment and Report Assessment.

Aida Usmanova, Rana Abdullah, Debayan Banerjee, Markus Leippold, Ricardo Usbeck

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

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

ClimRetrieve: A Benchmarking Dataset for Information Retrieval from Corporate Climate Disclosures.

Tobias Schimanski, Jingwei Ni, Roberto Spacey, Nicola Ranger, Markus Leippold

CoRR, 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, Christian Huggel

CoRR, 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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

ClimRetrieve: A Benchmarking Dataset for Information Retrieval from Corporate Climate Disclosures.

Tobias Schimanski, Jingwei Ni, Roberto Martín, Nicola Ranger, Markus Leippold

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Towards Faithful and Robust LLM Specialists for Evidence-Based Question-Answering.

Tobias Schimanski, Jingwei Ni, Mathias Kraus, Elliott Ash, Markus Leippold

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

AFaCTA: Assisting the Annotation of Factual Claim Detection with Reliable LLM Annotators.

Jingwei Ni, Minjing Shi, Dominik Stammbach, Mrinmaya Sachan, Elliott Ash, Markus Leippold

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

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

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

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

ClimateBERT-NetZero: Detecting and Assessing Net Zero and Reduction Targets.

Tobias Schimanski, Julia Anna Bingler, Mathias Kraus, Camilla Hyslop, Markus Leippold

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 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, Markus Leippold

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Environmental Claim Detection.

Dominik Stammbach, Nicolas Webersinke, Julia Anna Bingler, Mathias Kraus, Markus Leippold

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

When Does Aggregating Multiple Skills with Multi-Task Learning Work? A Case Study in Financial NLP.

Jingwei Ni, Zhijing Jin, Qian Wang, Mrinmaya Sachan, Markus Leippold

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

A Dataset for Detecting Real-World Environmental Claims.

Dominik Stammbach, Nicolas Webersinke, Julia Anna Bingler, Mathias Kraus, Markus Leippold

CoRR, 2022

Towards Climate Awareness in NLP Research.

Daniel Hershcovich, Nicolas Webersinke, Mathias Kraus, Julia Anna Bingler, Markus Leippold

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

ClimateBert: A Pretrained Language Model for Climate-Related Text.

Nicolas Webersinke, Mathias Kraus, Julia Anna Bingler, Markus Leippold

CoRR, 2021

2020

Option-Implied Intrahorizon Value at Risk.

Markus Leippold, Nikola Vasiljevic

Manag. Sci., 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

ClimaText: A Dataset for Climate Change Topic Detection.

Francesco S. Varini, Jordan L. Boyd-Graber, Massimiliano Ciaramita, Markus Leippold

CoRR, 2020

MuSeM: Detecting Incongruent News Headlines using Mutual Attentive Semantic Matching.

Rahul Mishra, Piyush Yadav, Rémi Calizzano, Markus Leippold

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Generating Fact Checking Summaries for Web Claims.

Rahul Mishra, Dhruv Gupta, Markus Leippold

Proceedings of the Sixth Workshop on Noisy User-generated Text, 2020

2011

A New Goodness-of-Fit Test for Event Forecasting and Its Application to Credit Defaults.

Andreas Blöchlinger, Markus Leippold

Manag. Sci., 2011