ArgBench unifies 33 existing datasets into a standardized benchmark for testing LLMs across 46 argumentation tasks and analyzes the impact of prompting techniques and model factors on performance.
Argument-based Detection and Classification of Fallacies in Political Debates , booktitle =
3 Pith papers cite this work, alongside 4 external citations. Polarity classification is still indexing.
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TruthSplit is an interactive system that extracts claims from arguments and uses three-layer NLI plus LLM reasoning conditioned on structured worldview profiles to surface perspective-specific conditional validity, value conflicts, and assumption gaps.
LLM-extracted patterns merging logical structures and linguistic cues yield statistically significant gains in fallacy classification over zero-shot baselines with cross-dataset generalization.
citing papers explorer
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ArgBench: Benchmarking LLMs on Computational Argumentation Tasks
ArgBench unifies 33 existing datasets into a standardized benchmark for testing LLMs across 46 argumentation tasks and analyzes the impact of prompting techniques and model factors on performance.
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TruthSplit: Operationalizing Conditional Validity in Arguments Through Multi-Perspective Reasoning
TruthSplit is an interactive system that extracts claims from arguments and uses three-layer NLI plus LLM reasoning conditioned on structured worldview profiles to surface perspective-specific conditional validity, value conflicts, and assumption gaps.
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Beyond Logical Forms: LLM-Extracted Patterns for Fallacy Classification
LLM-extracted patterns merging logical structures and linguistic cues yield statistically significant gains in fallacy classification over zero-shot baselines with cross-dataset generalization.