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.

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.

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.

To Prefer or to Choose? Generating Agency and Power Counterfactuals Jointly for Gender Bias Mitigation
M. Stahl, M. Spliethöver, H. Wachsmuth, in: Proceedings of the Fifth Workshop on Natural Language Processing and Computational Social Science, Abu Dhabi, United Arab Emirates, n.d.

Bias Silhouette Analysis: Towards Assessing the Quality of Bias Metrics for Word Embedding Models
M. Spliethöver, H. Wachsmuth, in: Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21, 2021, pp. 552–559.

Key Point Analysis via Contrastive Learning and Extractive Argument Summarization
M. Alshomary, T. Gurcke, S. Syed, P. Heinisch, M. Spliethöver, P. Cimiano, M. Potthast, H. Wachsmuth, in: Proceedings of the 8th Workshop on Argument Mining, 2021, pp. 184–189.

Argument from Old Man's View: Assessing Social Bias in Argumentation
M. Spliethöver, H. Wachsmuth, in: Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020), 2020, pp. 76–87.

Playful User-Generated Treatment: A Novel Game Design Approach for VR Exposure Therapy
D. Alexandrovsky, G. Volkmar, M. Spliethöver, S. Finke, M. Herrlich, T. Döring, J.D. Smeddinck, R. Malaka, in: Proceedings of the Annual Symposium on Computer-Human Interaction in Play, Association for Computing Machinery, New York, NY, USA, 2020, pp. 32–45.

Is It Worth the Attention? A Comparative Evaluation of Attention Layers for Argument Unit Segmentation
M. Spliethöver, J. Klaff, H. Heuer, in: Proceedings of the 6th Workshop on Argument Mining, Association for Computational Linguistics, Florence, Italy, 2019, pp. 74–82.

CLEF ProtestNews Lab 2019: Contextualized Word Embeddings for Event Sentence Detection and Event Extraction
G. Skitalinskaya, J. Klaû00, M. Spliethöver, CLEF ProtestNews Lab 2019: Contextualized Word Embeddings for Event Sentence Detection and Event Extraction, Lugano, Switzerland, 2019.

If You Ask Nicely: A Digital Assistant Rebuking Impolite Voice Commands
M. Bonfert, M. Spliethöver, R. Arzaroli, M. Lange, M. Hanci, R. Porzel, in: Proceedings of the 20th ACM International Conference on Multimodal Interaction, 2018.