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@@ -22,7 +22,7 @@ CCFQA is a speech and text factuality evaluation benchmark that measures languag
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  - **Language**: Mandarin Chinese, English, French, Japanese, Korean, Russian, Spanish, Cantonese(HK)
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  - **ISO-3 Code**: cmn, eng, fra, jpn, kor, rus, spa, yue
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- 📄Paper:[https://arxiv.org/abs/2411.17666](https://arxiv.org/abs/2411.17666)
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  ## How to use
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@@ -47,13 +47,13 @@ All datasets are licensed under the [Creative Commons Attribution-NonCommercial
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  # 🖊Citation
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  ```
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- @misc{muhlgay2024generatingbenchmarksfactualityevaluation,
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- title={Generating Benchmarks for Factuality Evaluation of Language Models},
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- author={Dor Muhlgay and Ori Ram and Inbal Magar and Yoav Levine and Nir Ratner and Yonatan Belinkov and Omri Abend and Kevin Leyton-Brown and Amnon Shashua and Yoav Shoham},
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- year={2024},
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- eprint={2307.06908},
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  archivePrefix={arXiv},
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  primaryClass={cs.CL},
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- url={https://arxiv.org/abs/2307.06908},
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  }
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  ```
 
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  - **Language**: Mandarin Chinese, English, French, Japanese, Korean, Russian, Spanish, Cantonese(HK)
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  - **ISO-3 Code**: cmn, eng, fra, jpn, kor, rus, spa, yue
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+ 📄Paper:[https://arxiv.org/abs/2508.07295](https://arxiv.org/abs/2508.07295)
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  ## How to use
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  # 🖊Citation
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  ```
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+ @misc{du2025ccfqabenchmarkcrosslingualcrossmodal,
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+ title={CCFQA: A Benchmark for Cross-Lingual and Cross-Modal Speech and Text Factuality Evaluation},
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+ author={Yexing Du and Kaiyuan Liu and Youcheng Pan and Zheng Chu and Bo Yang and Xiaocheng Feng and Yang Xiang and Ming Liu},
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+ year={2025},
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+ eprint={2508.07295},
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  archivePrefix={arXiv},
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  primaryClass={cs.CL},
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+ url={https://arxiv.org/abs/2508.07295},
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  }
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  ```