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"

5 / 5 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 53 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 33 69 0 17 May 2023
MiDAS: Multi-integrated Domain Adaptive Supervision for Fake News Detection Abhijit Suprem C. Pu 33 7 0 19 May 2022
Automated Evidence Collection for Fake News Detection Mrinal Rawat Diptesh Kanojia 27 3 0 13 Dec 2021
FreeLB: Enhanced Adversarial Training for Natural Language Understanding Chen Zhu Yu Cheng Zhe Gan S. Sun Tom Goldstein Jingjing Liu AAML 223 437 0 25 Sep 2019