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@@ -134,14 +134,17 @@ You can explore a collection of models and results related to this work on the H
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  ## Citation
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- If you find this work helpful or inspiring, please consider citing the paper:
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  ```bibtex
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- @article{fasulo2025ai,
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- title={AI Wizards at CheckThat! 2025: Enhancing Transformer-Based Embeddings with Sentiment for Subjectivity Detection in News Articles},
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- author={Fasulo, Matteo and Bisi, Federico and Pagnone, Alberto and Di Pietro, Federico},
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- journal={arXiv preprint arXiv:2507.11764},
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- year={2025}
 
 
 
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  }
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  ```
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  ## Citation
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+ If you find our work helpful or inspiring, please feel free to cite it:
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  ```bibtex
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+ @misc{fasulo2025aiwizardscheckthat2025,
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+ title={AI Wizards at CheckThat! 2025: Enhancing Transformer-Based Embeddings with Sentiment for Subjectivity Detection in News Articles},
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+ author={Matteo Fasulo and Luca Babboni and Luca Tedeschini},
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+ year={2025},
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+ eprint={2507.11764},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CL},
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+ url={https://arxiv.org/abs/2507.11764},
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  }
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  ```
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