Henning Wachsmuth

Teaching LLMs Human-Like Editing of Inappropriate Argumentation via Reinforcement Learning ACL 2026 Adaptive Prompting: Ad-hoc Prompt Composition for Social Bias Detection NAACL 2025 Toward Reasonable Parrots: Why Large Language Models Should Argue with Us by Design ACL 2025 Exploring LLM Priming Strategies for Few-Shot Stance Classification ACL 2025 ArgInstruct: Specialized Instruction Fine-Tuning for Computational Argumentation ACL 2025 Human and LLM-based Assessment of Teaching Acts in Expert-led Explanatory Dialogues EMNLP 2025 Investigating the Impact of Conceptual Metaphors on LLM-based NLI through Shapley Interactions EMNLP 2025 Towards a Perspectivist Turn in Argument Quality Assessment NAACL 2025 LLM-based Rewriting of Inappropriate Argumentation using Reinforcement Learning from Machine Feedback ACL 2024 Disentangling Dialect from Social Bias via Multitask Learning to Improve Fairness ACL 2024 Reference-guided Style-Consistent Content Transfer COLING 2024 Exploring LLM Prompting Strategies for Joint Essay Scoring and Feedback Generation NAACL 2024 Mining, Assessing, and Improving Arguments in NLP and the Social Sciences COLING 2024 The Touché23-ValueEval Dataset for Identifying Human Values behind Arguments COLING 2024 Analyzing the Use of Metaphors in News Editorials for Political Framing NAACL 2024 A School Student Essay Corpus for Analyzing Interactions of Argumentative Structure and Quality NAACL 2024 Argument Quality Assessment in the Age of Instruction-Following Large Language Models COLING 2024 Modeling the Quality of Dialogical Explanations COLING 2024 Improving Argument Effectiveness Across Ideologies using Instruction-tuned Large Language Models EMNLP 2024 To Revise or Not to Revise: Learning to Detect Improvable Claims for Argumentative Writing Support ACL 2023 Modeling Appropriate Language in Argumentation ACL 2023 SemEval-2023 Task 4: ValueEval: Identification of Human Values Behind Arguments SEMEVAL 2023 Conclusion-based Counter-Argument Generation EACL 2023 Mining, Assessing, and Improving Arguments in NLP and the Social Sciences EACL 2023 Mind the Gap: Automated Corpus Creation for Enthymeme Detection and Reconstruction in Learner Arguments EMNLP 2023 Modeling Highlighting of Metaphors in Multitask Contrastive Learning Paradigms EMNLP 2023 SemEval-2023 Task 4: ValueEval: Identification of Human Values Behind Arguments ACL 2023 “Mama Always Had a Way of Explaining Things So I Could Understand”: A Dialogue Corpus for Learning to Construct Explanations COLING 2022 Identifying the Human Values behind Arguments ACL 2022 The Moral Debater: A Study on the Computational Generation of Morally Framed Arguments ACL 2022 To Prefer or to Choose? Generating Agency and Power Counterfactuals Jointly for Gender Bias Mitigation EMNLP 2022 Back to the Roots: Predicting the Source Domain of Metaphors using Contrastive Learning EMNLP 2022 No Word Embedding Model Is Perfect: Evaluating the Representation Accuracy for Social Bias in the Media EMNLP 2022 Analyzing Culture-Specific Argument Structures in Learner Essays COLING 2022 Generating Informative Conclusions for Argumentative Texts ACL 2021 Syntopical Graphs for Computational Argumentation Tasks ACL 2021 Employing Argumentation Knowledge Graphs for Neural Argument Generation ACL 2021 Counter-Argument Generation by Attacking Weak Premises ACL 2021 Belief-based Generation of Argumentative Claims EACL 2021 Learning From Revisions: Quality Assessment of Claims in Argumentation at Scale EACL 2021 Controlled Neural Sentence-Level Reframing of News Articles EMNLP 2021 Assessing the Sufficiency of Arguments through Conclusion Generation EMNLP 2021 Key Point Analysis via Contrastive Learning and Extractive Argument Summarization EMNLP 2021 Bias Silhouette Analysis: Towards Assessing the Quality of Bias Metrics for Word Embedding Models IJCAI 2021 Syntopical Graphs for Computational Argumentation Tasks IJCNLP 2021 Employing Argumentation Knowledge Graphs for Neural Argument Generation IJCNLP 2021 Counter-Argument Generation by Attacking Weak Premises IJCNLP 2021 Generating Informative Conclusions for Argumentative Texts IJCNLP 2021 Persuasiveness of News Editorials depending on Ideology and Personality COLING 2020 SemEval-2020 Task 11: Detection of Propaganda Techniques in News Articles SEMEVAL 2020 Mining Crowdsourcing Problems from Discussion Forums of Workers COLING 2020 Argument from Old Man’s View: Assessing Social Bias in Argumentation COLING 2020 End-to-End Argumentation Knowledge Graph Construction AAAI 2020 SemEval-2020 Task 11: Detection of Propaganda Techniques in News Articles COLING 2020 Semi-Supervised Cleansing of Web Argument Corpora COLING 2020 Detecting Media Bias in News Articles using Gaussian Bias Distributions EMNLP 2020 Analyzing Political Bias and Unfairness in News Articles at Different Levels of Granularity EMNLP 2020 Target Inference in Argument Conclusion Generation ACL 2020 Analyzing the Persuasive Effect of Style in News Editorial Argumentation ACL 2020 Intrinsic Quality Assessment of Arguments COLING 2020 Modeling Frames in Argumentation IJCNLP 2019 Proceedings of the 6th Workshop on Argument Mining ACL 2019 Modeling Frames in Argumentation EMNLP 2019 Unraveling the Search Space of Abusive Language in Wikipedia with Dynamic Lexicon Acquisition EMNLP 2019 Modeling Deliberative Argumentation Strategies on Wikipedia ACL 2018 Visualization of the Topic Space of Argument Search Results in args.me EMNLP 2018 Argumentation Synthesis following Rhetorical Strategies COLING 2018 SemEval-2018 Task 12: The Argument Reasoning Comprehension Task SEMEVAL 2018 Retrieval of the Best Counterargument without Prior Topic Knowledge ACL 2018 Before Name-Calling: Dynamics and Triggers of Ad Hominem Fallacies in Web Argumentation NAACL 2018 Challenge or Empower: Revisiting Argumentation Quality in a News Editorial Corpus CONLL 2018 The Argument Reasoning Comprehension Task: Identification and Reconstruction of Implicit Warrants NAACL 2018 WAT-SL: A Customizable Web Annotation Tool for Segment Labeling EACL 2017 Patterns of Argumentation Strategies across Topics EMNLP 2017 Argumentation Quality Assessment: Theory vs. Practice ACL 2017 The Impact of Modeling Overall Argumentation with Tree Kernels EMNLP 2017 Computational Argumentation Quality Assessment in Natural Language EACL 2017 “PageRank” for Argument Relevance EACL 2017 Using Argument Mining to Assess the Argumentation Quality of Essays COLING 2016 A News Editorial Corpus for Mining Argumentation Strategies COLING 2016 Cross-Domain Mining of Argumentative Text through Distant Supervision NAACL 2016 Sentiment Flow - A General Model of Web Review Argumentation EMNLP 2015 Modeling Review Argumentation for Robust Sentiment Analysis COLING 2014 Learning Efficient Information Extraction on Heterogeneous Texts IJCNLP 2013 Optimal Scheduling of Information Extraction Algorithms COLING 2012 Back to the Roots of Genres: Text Classification by Language Function IJCNLP 2011 Efficient Statement Identification for Automatic Market Forecasting COLING 2010