As online false information continues to grow, automated fact‐checking has gained an
increasing amount of attention in recent years. Researchers in the field of Natural Language …

Post-truth is a term that describes a distorting phenomenon that aims to manipulate public
opinion and behavior. One of its key engines is the spread of Fake News. Nowadays most …

Fact-checking has become increasingly important due to the speed with which both
information and misinformation can spread in the modern media ecosystem. Therefore …

Many text generation applications require the generated text to be factually consistent with
input information. Automatic evaluation of factual consistency is challenging. Previous work …

Grounded text generation systems often generate text that contains factual inconsistencies,
hindering their real-world applicability. Automatic factual consistency evaluation may help …

Challenging problems such as open-domain question answering, fact checking, slot filling
and entity linking require access to large, external knowledge sources. While some models …

Recent work in natural language processing (NLP) has yielded appealing results from
scaling model parameters and training data; however, using only scale to improve …

Fact-checking real-world claims often requires collecting multiple pieces of evidence and
applying complex multi-step reasoning. In this paper, we present Program-Guided Fact …

We introduce a new large-scale NLI benchmark dataset, collected via an iterative,
adversarial human-and-model-in-the-loop procedure. We show that training models on this …

The reporting and the analysis of current events around the globe has expanded from
professional, editor-lead journalism all the way to citizen journalism. Nowadays, politicians …