Generating Label Cohesive and Well-Formed Adversarial Claims

17 September 2020

Papers citing "Generating Label Cohesive and Well-Formed Adversarial Claims"

8 / 8 papers shown

Title
Mitigating GenAI-powered Evidence Pollution for Out-of-Context Multimodal Misinformation Detection Zehong Yan Peng Qi W. Hsu M. Lee 39 0 0 24 Jan 2025
The State of Human-centered NLP Technology for Fact-checking Anubrata Das Houjiang Liu Venelin Kovatchev Matthew Lease HILM 19 61 0 08 Jan 2023
Fact Checking with Insufficient Evidence Pepa Atanasova J. Simonsen Christina Lioma Isabelle Augenstein 27 14 0 05 Apr 2022
Generating Scientific Claims for Zero-Shot Scientific Fact Checking Dustin Wright David Wadden Kyle Lo Bailey Kuehl Arman Cohan Isabelle Augenstein Lucy Lu Wang MedIm 39 54 0 24 Mar 2022
Matching Tweets With Applicable Fact-Checks Across Languages Ashkan Kazemi Zehua Li Verónica Pérez-Rosas Scott A. Hale Rada Mihalcea 28 16 0 14 Feb 2022
Generating Fluent Fact Checking Explanations with Unsupervised Post-Editing Shailza Jolly Pepa Atanasova Isabelle Augenstein 26 13 0 13 Dec 2021
Open-Domain, Content-based, Multi-modal Fact-checking of Out-of-Context Images via Online Resources Sahar Abdelnabi Rakibul Hasan Mario Fritz 24 74 0 30 Nov 2021
Stance Detection Benchmark: How Robust Is Your Stance Detection? Benjamin Schiller Johannes Daxenberger Iryna Gurevych 11 95 0 06 Jan 2020