Exploring the Potential of Large Language Models in Computational Argumentation

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Ampersand: Argument mining for persuasive online discussions

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Bert: Pre-training of deep bidirectional transformers for language understanding

Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019

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Language and argument: a review of the field

Martin Hinton. 2019 · 2019

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Argument generation with retrieval, planning, and realization

Xinyu Hua, Zhe Hu, and Lu Wang. 2019 · 2019

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Towards effective rebuttal: Listening comprehension using corpus-wide claim mining

Tamar Lavee, Matan Orbach, Lili Kotlerman, Yoav Kantor, Shai Gretz, Lena Dankin, Shachar Mirkin, Michal Jacovi, Yonatan Bilu, Ranit Aharonov, and Noam Slonim. 2019 · 2019

Cited alongside, same era.

Touché: First shared task on argument retrieval

Llms to the moon? reddit market sentiment analysis with large language models

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Uncovering the potential of chatgpt for discourse analysis in dialogue: An empirical study

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Mathematical capabilities of chatgpt

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Simon Frieder, Luca Pinchetti, Ryan-Rhys Griffiths, Tommaso Salvatori, Thomas Lukasiewicz, Philipp Christian Petersen, Alexis Chevalier, and J J Berner. 2023 · 2023

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Unlocking the potential of user feedback: Leveraging large language model as user simulators to enhance dialogue system

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Is chatgpt a good translator? a preliminary study

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