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@@ -178,7 +178,7 @@ Evaluated on machine-translated Turkish RAGTruth test set, showing the most cons
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  ```bibtex
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  @inproceedings{turklettucedetect2025,
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  title={Turk-LettuceDetect: A Hallucination Detection Models for Turkish RAG Applications},
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- author={Authors Hidden for Review},
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  booktitle={9th International Artificial Intelligence and Data Processing Symposium (IDAP'25)},
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  year={2025},
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  address={Malatya, Turkey}
@@ -221,6 +221,4 @@ This model is released under an open-source license to support research and deve
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  For questions about this model or other Turkish hallucination detection models, please refer to the original paper or contact the authors.
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- ---
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-
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- **Note:** This model is optimized for stability and consistency across different Turkish RAG tasks, making it ideal for production environments where reliable performance is more important than peak metrics.
 
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  ```bibtex
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  @inproceedings{turklettucedetect2025,
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  title={Turk-LettuceDetect: A Hallucination Detection Models for Turkish RAG Applications},
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+ author={NewMind AI Team},
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  booktitle={9th International Artificial Intelligence and Data Processing Symposium (IDAP'25)},
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  year={2025},
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  address={Malatya, Turkey}
 
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  For questions about this model or other Turkish hallucination detection models, please refer to the original paper or contact the authors.
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+ ---