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Argument Quality Assessment in the Age of Instruction-Following Large Language Models
March 26, 2024, 4:51 a.m. | Henning Wachsmuth, Gabriella Lapesa, Elena Cabrio, Anne Lauscher, Joonsuk Park, Eva Maria Vecchi, Serena Villata, Timon Ziegenbein
cs.CL updates on arXiv.org arxiv.org
Abstract: The computational treatment of arguments on controversial issues has been subject to extensive NLP research, due to its envisioned impact on opinion formation, decision making, writing education, and the like. A critical task in any such application is the assessment of an argument's quality - but it is also particularly challenging. In this position paper, we start from a brief survey of argument quality research, where we identify the diversity of quality notions and the …
abstract age application arxiv assessment computational cs.cl decision decision making education impact language language models large language large language models making nlp opinion quality research treatment type writing
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