With the growing complexity of fact verification tasks, the concern with" thoughtful" reasoning
capabilities is increasing. However, recent fact verification benchmarks mainly focus on …

Automatic multi-hop fact verification task has gained significant attention in recent years.
Despite impressive results, these well-designed models perform poorly on out-of-domain …

Fact-checking data claims requires data evidence retrieval and analysis, which can become
tedious and intractable when done manually. This work presents Aletheia, an automated fact …

Automated fact-checking systems verify claims against evidence to predict their veracity. In
real-world scenarios, the retrieved evidence may not unambiguously support or refute the …

Large Language Models (LLMs) produce eloquent texts but often the content they generate
needs to be verified. Traditional information retrieval systems can assist with this task, but …

We present appjsonify, a Python-based PDF-to-JSON conversion toolkit for academic
papers. It parses a PDF file using several visual-based document layout analysis models …

Claim verification in scientific domains requires models that faithfully incorporate relevant
knowledge from the ever-growing, vast existing literature. Unfaithful claim verifications can …

From the evolution of human beings to state-of-the-art artificial intelligence, knowledge
created by scientists has been actively communicated to the public and has further driven …

This paper introduces the foundation for the third component of a pioneering open-source
scientific questionanswering system. The system is designed to provide referenced …