33 citations · 56 across the 5 of their papers we have counts for
5 papers
Self-Rationalization in the Wild: A Large Scale Out-of-Distribution Evaluation on NLI-related tasks
Jing Yang, Max Glockner, Anderson Rocha +1
Free-text explanations are expressive and easy to understand, but many datasets lack annotated explanation data, making it challenging to train models for explainable predictions.…
Take It Easy: Label-Adaptive Self-Rationalization for Fact Verification and Explanation Generation
Jing Yang, Anderson Rocha
Computational methods to aid journalists in the task often require adapting a model to specific domains and generating explanations. However, most automated fact-checking methods r…
The Age of Synthetic Realities: Challenges and Opportunities
João Phillipe Cardenuto, Jing Yang, Rafael Padilha +7
Synthetic realities are digital creations or augmentations that are contextually generated through the use of Artificial Intelligence (AI) methods, leveraging extensive amounts of…
Explainable Fact-checking through Question Answering
Jing Yang, Didier Vega-Oliveros, Taís Seibt +1
Misleading or false information has been creating chaos in some places around the world. To mitigate this issue, many researchers have proposed automated fact-checking methods to f…
Scalable Fact-checking with Human-in-the-Loop
Jing Yang, Didier Vega-Oliveros, Tais Seibt +1
Researchers have been investigating automated solutions for fact-checking in a variety of fronts. However, current approaches often overlook the fact that the amount of information…