Papers by Elfia Bezou-Vrakatseli
Can Large Language Models Understand Argument Schemes? (2025.findings-acl)
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| Challenge: | Argument schemes are stereotypical forms of reasoning that occur in everyday arguments. |
| Approach: | They propose to use large language models (LLMs) to classify argument schemes based on Walton’s taxonomy to employ formal definitions and LLM-generated descriptions to enhance task instructions. |
| Outcome: | The proposed models perform well on annotated and automatically generated arguments, and provide insights for advancing reasoning capabilities in computational argumentation. |