arXiv Paper Examines Argument Structure and Proof Methods Across Genres Using LLMs
A new arXiv preprint in computational linguistics studies how arguments are structured when a direct proof of a claim is difficult, and how an alternative but related statement can be used instead. The authors apply large language models to compare argumentation and proof patterns across different text genres. The work falls within NLP research on reasoning and argument mining.