Verifying textual claims against structured tabular data is a critical yet challenging task in Natural Language Processing with broad real-world impact. While recent advances in Large Language Models (LLMs) have enabled significant progress in table fact-checking, current solutions remain inaccessible to non-experts. We introduce T-REX (T-REX: Table -- Refute or Entail eXplainer), the first live, interactive tool for claim verification over multimodal, multilingual tables using state-of-the-art instruction-tuned reasoning LLMs. Designed for accuracy and transparency, T-REX empowers non-experts by providing access to advanced fact-checking technology. The system is openly available online.
@article{arxiv.2508.14055,
title = {T-REX: Table -- Refute or Entail eXplainer},
author = {Tim Luka Horstmann and Baptiste Geisenberger and Mehwish Alam},
journal= {arXiv preprint arXiv:2508.14055},
year = {2025}
}