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Timon Ziegenbein

4 accepted papers

2025

ArgInstruct: Specialized Instruction Fine-Tuning for Computational Argumentation

ACL 2025finding

Training large language models (LLMs) to follow instructions has significantly enhanced their ability to tackle unseen tasks. However, despite their strong generalization capabilities, instruction-following LLMs encounter difficulties when dealing with tasks that require domain knowledge. This work…

2024

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

COLING 2024main

The computational treatment of arguments on controversial issues has been subject to extensive NLP research, due to its envisioned impact on opinion formation, decision making, writing education, and the like. A critical task in any such application is the assessment of an argument’s quality - but i…

Cited by 12SourcePDFScholar
2024

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

ACL 2024long

Ensuring that online discussions are civil and productive is a major challenge for social media platforms. Such platforms usually rely both on users and on automated detection tools to flag inappropriate arguments of other users, which moderators then review. However, this kind of post-hoc moderatio…

2023

Modeling Appropriate Language in Argumentation

ACL 2023long

Online discussion moderators must make ad-hoc decisions about whether the contributions of discussion participants are appropriate or should be removed to maintain civility. Existing research on offensive language and the resulting tools cover only one aspect among many involved in such decisions. T…