Transformer-based Language Model Fine-tuning Methods for COVID-19 Fake News Detection

14 January 2021

Papers citing "Transformer-based Language Model Fine-tuning Methods for COVID-19 Fake News Detection"

7 / 7 papers shown

Title
Adversarial Style Augmentation via Large Language Model for Robust Fake News Detection Sungwon Park Sungwon Han Xing Xie Jae-Gil Lee Meeyoung Cha 61 1 0 17 Jun 2024
ChatGPT Perpetuates Gender Bias in Machine Translation and Ignores Non-Gendered Pronouns: Findings across Bengali and Five other Low-Resource Languages Sourojit Ghosh Aylin Caliskan 41 69 0 17 May 2023
Similarity-Aware Multimodal Prompt Learning for Fake News Detection Ye Jiang Xiaomin Yu Yimin Wang Xiaoman Xu Xingyi Song Diana Maynard 31 20 0 09 Apr 2023
MiDAS: Multi-integrated Domain Adaptive Supervision for Fake News Detection Abhijit Suprem C. Pu 35 7 0 19 May 2022
Automated Evidence Collection for Fake News Detection Mrinal Rawat Diptesh Kanojia 35 3 0 13 Dec 2021
Improving Paraphrase Detection with the Adversarial Paraphrasing Task Animesh Nighojkar John Licato 25 39 0 14 Jun 2021
FreeLB: Enhanced Adversarial Training for Natural Language Understanding Chen Zhu Yu Cheng Zhe Gan S. Sun Tom Goldstein Jingjing Liu AAML 232 438 0 25 Sep 2019