Exploring the Potential of Large Language Models in Computational Argumentation

15 November 2023

Papers citing "Exploring the Potential of Large Language Models in Computational Argumentation"

7 / 7 papers shown

Title
Can LLMs Beat Humans in Debating? A Dynamic Multi-agent Framework for Competitive Debate Yiqun Zhang Xiaocui Yang Shi Feng Daling Wang Yifei Zhang Kaisong Song LLMAG 40 4 0 08 Aug 2024
Prompt as Triggers for Backdoor Attack: Examining the Vulnerability in Language Models Shuai Zhao Jinming Wen Anh Tuan Luu J. Zhao Jie Fu SILM 62 89 0 02 May 2023
Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond Jingfeng Yang Hongye Jin Ruixiang Tang Xiaotian Han Qizhang Feng Haoming Jiang Bing Yin Xia Hu LM&MA 131 622 0 26 Apr 2023
A comprehensive evaluation of ChatGPT's zero-shot Text-to-SQL capability Aiwei Liu Xuming Hu Lijie Wen Philip S. Yu LMTD AI4MH 82 149 0 12 Mar 2023
Improving Neural Cross-Lingual Summarization via Employing Optimal Transport Distance for Knowledge Distillation Thong Nguyen A. Luu 57 40 0 07 Dec 2021
Knowledge-Enhanced Evidence Retrieval for Counterargument Generation Yohan Jo Haneul Yoo Jinyeong Bak Alice H. Oh Chris Reed Eduard H. Hovy RALM 40 12 0 19 Sep 2021
Unsupervised Expressive Rules Provide Explainability and Assist Human Experts Grasping New Domains Eyal Shnarch Leshem Choshen Guy Moshkowich Noam Slonim R. Aharonov 89 9 0 19 Oct 2020