Tobias Schimanski

According to our database, Tobias Schimanski authored at least 13 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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

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

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

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

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

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