fallacy detection

Emotionally Charged, Logically Blurred: AI-driven Emotional Framing Impairs Human Fallacy Detection EACL 2026 Socrates or Smartypants: Testing Logic Reasoning Capabilities of Large Language Models with Logic Programming-Based Test Oracles AAAI 2026 Argumentative Fallacy Detection in Political Debates ACL 2025 DISPUTool 3.0: Fallacy Detection and Repairing in Argumentative Political Debates ACL 2025 Fine-grained Fallacy Detection with Human Label Variation NAACL 2025 Illuminating Logical Fallacies with the CAMPFIRE Corpus ACL 2025 Overview of MM-ArgFallacy2025 on Multimodal Argumentative Fallacy Detection and Classification in Political Debates ACL 2025 A Closer Look at the Self-Verification Abilities of Large Language Models in Logical Reasoning NAACL 2024 Are LLMs Good Zero-Shot Fallacy Classifiers? EMNLP 2024 Boosting Logical Fallacy Reasoning in LLMs via Logical Structure Tree EMNLP 2024 Flee the Flaw: Annotating the Underlying Logic of Fallacious Arguments Through Templates and Slot-filling EMNLP 2024 LLMs Are Prone to Fallacies in Causal Inference EMNLP 2024 MAFALDA: A Benchmark and Comprehensive Study of Fallacy Detection and Classification NAACL 2024 Missci: Reconstructing Fallacies in Misrepresented Science ACL 2024 Argument-based Detection and Classification of Fallacies in Political Debates EMNLP 2023 Detecting Argumentative Fallacies in the Wild: Problems and Limitations of Large Language Models EMNLP 2023 DISPUTool 2.0: A Modular Architecture for Multi-Layer Argumentative Analysis of Political Debates AAAI 2023 Before Name-Calling: Dynamics and Triggers of Ad Hominem Fallacies in Web Argumentation NAACL 2018 Computational Argumentation: A Journey Beyond Semantics, Logic, Opinions, and Easy Tasks NAACL 2018 Argotario: Computational Argumentation Meets Serious Games EMNLP 2017