Papers by Sunan Xu
Data Contamination Can Cross Language Barriers (2024.emnlp-main)
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| Challenge: | Existing methods to detect contamination of public benchmarks are too superficial to reflect deeper forms of contamination. |
| Approach: | They propose generalization-based approaches to unmask a cross-lingual form of contamination that inflates LLMs’ performance while evading current detection methods. |
| Outcome: | The proposed model outperforms existing detection methods while avoiding contamination of public benchmarks in the pre-training data. |