The emergence of tools based on large language models (LLMs), such as OpenAI's
ChatGPT and Google's Gemini, has garnered immense public attention owing to their …

Automatic factuality verification of large language model (LLM) generations is becoming
more and more widely used to combat hallucinations. A major point of tension in the …

In this paper, we explore the challenges associated with establishing an end-to-end fact-
checking pipeline in a real-world context, covering over 90 languages. Our real-world …

We introduce'FactCheck Editor', an advanced text editor designed to automate fact-checking
and correct factual inaccuracies. Given the widespread issue of misinformation, often a …

The large and ever-increasing amount of data available on the Internet coupled with the
laborious task of manual claim and fact verification has sparked the interest in the …

Separating disinformation from fact on the web has long challenged both the search and the
reasoning powers of humans. We show that the reasoning power of large language models …

The proliferation of disinformation presents a growing threat to societal trust and democracy,
necessitating robust and scalable Fact-Checking systems. In this work, we present Dynamic …

Fact-checking using evidences is the preferred way to tackle the issue of misinformation in
the society. The democratization of information through social media has accelerated the …

Large Language Models (LLMs) have shown impressive capability in language generation
and understanding, but their tendency to hallucinate and produce factually incorrect …

This work addresses the challenge of factual consistency in text generation systems. We
unify the tasks of Natural Language Inference, Summarization Evaluation, Factuality …