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

Spliethöver, M., Knebler, T., Fumagalli, F., Muschalik, M., Hammer, B., Hüllermeier, E. & Wachsmuth, H., 29 Apr 2025, Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies. Albuquerque, New Mexico, Vol. 1. 28 p.

Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

It Is Not Only the Negative that Deserves Attention! Understanding, Generation & Evaluation of (Positive) Moderation

Jundi, I., Vecchi, E. M., Quensel, C. N. F., Falk, N. & Lapesa, G., Apr 2025, Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies. Albuquerque, New Mexico, p. 11360-11395

Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

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. (eds.). Miami, Florida, USA, p. 4604-4622 19 p.

Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

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: Association for Computing Machinery, p. 225–230 6 p.

Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

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. (eds.). p. 9294-9313 20 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics).

Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

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). Ku, L.-W., Martins, A. F. T. & Srikumar, V. (eds.). Association for Computational Linguistics (ACL), Vol. 1. p. 4455-4476 22 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics; vol. 1).

Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

Objective Argument Summarization in Search

Ziegenbein, T., Syed, S., Potthast, M. & Wachsmuth, H., 17 Jul 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. (eds.). 1. ed. Cham, p. 335-351 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14638 LNAI).

Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

Analyzing the Use of Metaphors in News Editorials for Political Framing

Sengupta, M., El Baff, R., Alshomary, M. & Wachsmuth, H., Jun 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. (eds.). Mexico City, Mexico: Association for Computational Linguistics (ACL), p. 3621–3631 11 p. (Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2024; vol. 1).

Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

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., Jun 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. (eds.). p. 2661–2674 14 p.

Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

Exploring LLM Prompting Strategies for Joint Essay Scoring and Feedback Generation

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

Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

The Touché23-ValueEval Dataset for Identifying Human Values behind Arguments

Mirzakhmedova, N., Kiesel, J., Alshomary, M., Heinrich, M., Handke, N., Cai, X., Barriere, V., Dastgheib, D., Ghahroodi, O., SadraeiJavaheri, M., Asgari, E., Kawaletz, L., Wachsmuth, H. & Stein, B., 1 May 2024, Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024). Calzolari, N., Kan, M.-Y., Hoste, V., Lenci, A., Sakti, S. & Xue, N. (eds.). Torino, Italia, p. 16121-16134 14 p.

Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

Argument Quality Assessment in the Age of Instruction-Following Large Language Models

Wachsmuth, H., Lapesa, G., Cabrio, E., Lauscher, A., Park, J., Vecchi, E. M., Villata, S. & Ziegenbein, T., May 2024, Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024). Calzolari, N., Kan, M.-Y., Hoste, V., Lenci, A., Sakti, S. & Xue, N. (eds.). p. 1519-1538 20 p.

Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

Overview of Touché 2024: Argumentation Systems

Kiesel, J., Çöltekin, Ç., Heinrich, M., Fröbe, M., Alshomary, M., De Longueville, B., Erjavec, T., Handke, N., Kopp, M., Ljubešić, N., Meden, K., Mirzhakhmedova, N., Morkevičius, V., Reitis-Münstermann, T., Scharfbillig, M., Stefanovitch, N., Wachsmuth, H., Potthast, M. & Stein, B., 23 Mar 2024, Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Proceedings. Goharian, N., Tonellotto, N., He, Y., Lipani, A., McDonald, G., Macdonald, C. & Ounis, I. (eds.). Springer Science and Business Media Deutschland GmbH, p. 466-473 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14612 LNCS).

Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

Reference-guided Style-Consistent Content Transfer

Chen, W. F., Alshomary, M., Stahl, M., Al Khatib, K., Stein, B. & Wachsmuth, H., 2024, 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings. Calzolari, N., Kan, M.-Y., Hoste, V., Lenci, A., Sakti, S. & Xue, N. (eds.). p. 13754-13768 15 p.

Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

Claim Optimization in Computational Argumentation

Skitalinskaya, G., Spliethöver, M. & Wachsmuth, H., Sept 2023, Proceedings of the 16th International Natural Language Generation Conference. Keet, C. M., Lee, H.-Y. & Zarrieß, S. (eds.). Association for Computational Linguistics (ACL), p. 134-152

Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

Identifying Feedback Types to Augment Feedback Comment Generation

Stahl, M. & Wachsmuth, H., Sept 2023, Proceedings of the 16th International Natural Language Generation Conference: Generation Challenges. p. 31-36

Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

Perspectives on Large Language Models for Relevance Judgment

Faggioli, G., Clarke, C. L. A., Demartini, G., Hagen, M., Hauff, C., Kando, N., Kanoulas, E., Potthast, M., Stein, B., Wachsmuth, H. & Dietz, L., 9 Aug 2023, ICTIR '23: Proceedings of the 2023 ACM SIGIR International Conference on Theory of Information Retrieval. p. 39-50 12 p.

Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

Modeling Appropriate Language in Argumentation

Ziegenbein, T., Syed, S., Lange, F., Potthast, M. & Wachsmuth, H., Jul 2023, Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics (ACL), p. 4344-4363 20 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics; vol. 1).

Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review