Prof. Dr. Henning Wachsmuth

Transregional Collaborative Research Centre 318

Member

Contact and Affiliations

Transregional Collaborative Research Centre 318
Member - Professor
Project Leader C04, C07
E-Mail:
h.wachsmuth@ai.uni-hannover.de
Web:
Homepage (Extern)
Computational Social Science
Head - Former
Computational Social Science
E-Mail:
henningw@upb.de
Phone:
+49 5251 60-6844
Web:
Homepage
Office Address:
Zukunftsmeile 2
33102 Paderborn
Room:
ZM2.A.03.02

Publications

Latest Publications

Investigating Co-Constructive Behavior of Large Language Models in Explanation Dialogues

L. Fichtel, M. Spliethöver, E. Hüllermeier, P. Jimenez, N. Klowait, S. Kopp, A.-C. Ngonga Ngomo, A. Robrecht, I. Scharlau, L. Terfloth, A.-L. Vollmer, H. Wachsmuth, in: Proceedings of the 26th Annual Meeting of the Special Interest Group on Discourse and Dialogue, Association for Computational Linguistics, Avignon, France, n.d.

https://github.com/webis-de/sigdial25-co-constructive-llms https://github.com/webis-de/sigdial25-co-constructive-llms-data arXiv

Adaptive Prompting: Ad-hoc Prompt Composition for Social Bias Detection

M. Spliethöver, T. Knebler, F. Fumagalli, M. Muschalik, B. Hammer, E. Hüllermeier, H. Wachsmuth, in: L. Chiruzzo, A. Ritter, L. Wang (Eds.), Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), Association for Computational Linguistics, Albuquerque, New Mexico, 2025, pp. 2421–2449.

https://github.com/webis-de/naacl25-prompt-compositions

Investigating the Impact of Conceptual Metaphors on LLM-based NLI through Shapley Interactions

M. Sengupta, M. Muschalik, F. Fumagalli, B. Hammer, E. Hüllermeier, D. Ghosh, H. Wachsmuth, in: Accepted in Findings , EMNLP , 2025.


Analyzing the Use of Metaphors in News Editorials for Political Framing

M. Sengupta, R. El Baff, M. Alshomary, H. Wachsmuth, in: K. Duh, H. Gomez, S. Bethard (Eds.), Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), Association for Computational Linguistics, Mexico City, Mexico, 2024, pp. 3621–3631.


Disentangling Dialect from Social Bias via Multitask Learning to Improve Fairness

M. Spliethöver, S.N. Menon, H. Wachsmuth, in: L.-W. Ku, A. Martins, V. Srikumar (Eds.), Findings of the Association for Computational Linguistics: ACL 2024, Association for Computational Linguistics, Bangkok, Thailand, 2024, pp. 9294–9313.

DOI https://github.com/webis-de/acl24-dialect-aware-bias-detection

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