Improving Argument Effectiveness Across Ideologies using Instruction-tuned Large Language Models

El Baff, R., Khatib, K. A., Alshomary, M., Konen, K., Stein, B. & Wachsmuth, H., 1 Nov. 2024, Findings of the Association for Computational Linguistics: EMNLP 2024. Al-Onaizan, Y., Bansal, M. & Chen, Y.-N. (Hrsg.). Miami, Florida, USA, S. 4604-4622 19 S.

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Towards Modeling and Evaluating Instructional Explanations in Teacher-Student Dialogues

Feldhus, N., Anagnostopoulou, A., Wang, Q., Alshomary, M., Wachsmuth, H., Sonntag, D. & Möller, S., 4 Sept. 2024, Proceedings of the 2024 International Conference on Information Technology for Social Good. New York, NY, USA, S. 225–230

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Disentangling Dialect from Social Bias via Multitask Learning to Improve Fairness

Spliethöver, M., Menon, S. N. & Wachsmuth, H., Aug. 2024, Findings of the Association for Computational Linguistics ACL 2024. Ku, L.-W., Martins, A. & Srikumar, V. (Hrsg.). S. 9294-9313 20 S. (Proceedings of the Annual Meeting of the Association for Computational Linguistics).

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LLM-based Rewriting of Inappropriate Argumentation using Reinforcement Learning from Machine Feedback

Ziegenbein, T., Skitalinska, G., Bayat Makou, A. & Wachsmuth, H., Aug. 2024, Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Association for Computational Linguistics (ACL), Band 1. S. 4455-4476

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Objective Argument Summarization in Search

Ziegenbein, T., Syed, S., Potthast, M. & Wachsmuth, H., 17 Juli 2024, Robust Argumentation Machines - First International Conference, RATIO 2024, Proceedings: First International Conference, RATIO 2024, Bielefeld, Germany, June 5–7, 2024, Proceedings. Cimiano, P., Frank, A., Kohlhase, M. & Stein, B. (Hrsg.). 1. Aufl. Cham, S. 335-351 17 S. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 14638 LNAI).

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Analyzing the Use of Metaphors in News Editorials for Political Framing

Sengupta, M., El Baff, R., Alshomary, M. & Wachsmuth, H., Juni 2024, Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Duh, K., Gomez, H. & Bethard, S. (Hrsg.). Mexico City, Mexico: Association for Computational Linguistics (ACL), S. 3621–3631 11 S. (Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2024; Band 1).

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A School Student Essay Corpus for Analyzing Interactions of Argumentative Structure and Quality

Stahl, M., Michel, N., Kilsbach, S., Schmidtke, J., Rezat, S. & Wachsmuth, H., Juni 2024, Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers). Duh, K., Gomez, H. & Bethard, S. (Hrsg.). S. 2661–2674 14 S. (Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2024; Band 1).

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Exploring LLM Prompting Strategies for Joint Essay Scoring and Feedback Generation

Stahl, M., Biermann, L., Nehring, A. & Wachsmuth, H., Juni 2024, Proceedings of the 19th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2024). S. 283–298

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