T-REX: Table -- Refute or Entail eXplainer
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866915452043657216 |
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| author | Horstmann, Tim Luka Geisenberger, Baptiste Alam, Mehwish |
| author_facet | Horstmann, Tim Luka Geisenberger, Baptiste Alam, Mehwish |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2508_14055 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | T-REX: Table -- Refute or Entail eXplainer Horstmann, Tim Luka Geisenberger, Baptiste Alam, Mehwish Computation and Language Artificial Intelligence 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. |
| title | T-REX: Table -- Refute or Entail eXplainer |
| topic | Computation and Language Artificial Intelligence |
| url | https://arxiv.org/abs/2508.14055 |