---
title: "Who cites X-Fact: A New Benchmark — 64 citing papers"
description: "64 papers of the Elamur Research library cite «X-Fact: A New Benchmark Dataset for Multilingual Fact Checking», found in their…"
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---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/gupta-2021-x-fact-new-benchmark-dataset/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [X-Fact: A New Benchmark Dataset for Multilingual…](https://md.research.elamur.ai/free/en/papers/gupta-2021-x-fact-new-benchmark-dataset/) / cited by

# Who cites «X-Fact: A New Benchmark Dataset for Multilingual Fact Checking»

64 papers of our library cite it (of the 141,840 whose bibliographies we read) · 6 with a page here, the most cited first · [← back to «X-Fact: A New Benchmark Dataset for Multilingual Fact Checking»](https://md.research.elamur.ai/free/en/papers/gupta-2021-x-fact-new-benchmark-dataset/)

1. [**A Survey on Automated Fact-Checking**Zhijiang Guo, Michael Schlichtkrull, Andreas Vlachos*2022 · 646 citations*](https://md.research.elamur.ai/free/en/papers/guo-2022-survey-automated-fact-checking/)
2. [**Do All Languages Cost the Same? Tokenization in the Era of Commercial Language Models**Orevaoghene Ahia, Sachin Kumar, Hila Gonen, et al.*2023 · 164 citations*](https://md.research.elamur.ai/free/en/papers/ahia-2023-do-all-languages-cost-same/)
3. [**Fact-Checking Complex Claims with Program-Guided Reasoning**Liangming Pan, Xiaobao Wu, Xinyuan Lu, et al.*2023 · 146 citations*](https://md.research.elamur.ai/free/en/papers/pan-2023-fact-checking-complex-claims-program/)
4. [**Stanceosaurus: Classifying Stance Towards Multilingual Misinformation**Jonathan Zheng; Ashutosh Baheti; Tarek Naous; Wei Xu;, Alan Ritter*2022 · 5 citations*](https://md.research.elamur.ai/free/en/papers/zheng-2022-stanceosaurus-classifying-stance-towards-multilingual/)
5. [**IAI Group at CheckThat! 2024: Transformer Models and Data Augmentation for Checkworthy Claim Detection**Peter R\oysland Aarnes, Vinay Setty, Petra Galuščakova*2024 · 4 citations*](https://md.research.elamur.ai/free/en/papers/aarnes-2024-iai-group-checkthat-2024-transformer/)
6. [**The Truth, The Whole Truth, and Nothing but the Truth: A New Benchmark Dataset for Hebrew Text Credibility Assessment**Ben Hagag, Reut Tsarfaty*2023*](https://md.research.elamur.ai/free/en/papers/hagag-2023-truth-whole-truth-nothing-but/)

58 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/gupta-2021-x-fact-new-benchmark-dataset/) — X-Fact: A New Benchmark Dataset for Multilingual Fact Checking