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README.md

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 ---
 license: apache-2.0
+pretty_name: AnTBench
 ---
+
+# AnTBench
+
+AnTBench accompanies **Can LLMs Spot Data Anomalies That Make Table QA Impossible?** It evaluates whether language models can detect anomalies in tables and recognize when those anomalies make a question unanswerable.
+
+## Citation
+
+If you find AnTBench useful, please cite:
+
+```bibtex
+@inproceedings{wei2026can,
+  title={Can LLMs Spot Data Anomalies That Make Table QA Impossible?},
+  author={Wei, Yucheng and Yang, Shenzhi and Wang, Ning and Zhang, Jinchang and Yang, Yuhang and Wang, Haobo and Zha, Liangyu and Ye, Wentao and Li, Liyao and Peng, Cheng and others},
+  booktitle={Findings of the Association for Computational Linguistics: EMNLP 2026},
+  pages={21952--21987},
+  year={2026}
+}
+```
+
+## Contact
+
+For questions about the benchmark, code, or data, contact weiyucheng@zju.edu.cn.
+
+## License
+
+This project is released under the [Apache-2.0 License](LICENSE).