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@@ -100,11 +100,12 @@ and Llama Guard score 0.77 and 0.74, respectively. This research also highlights
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  ## 📖 Citation
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  ```bibtex
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- @inproceedings{machlovi2025hci,
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- title = {Towards Safer AI Moderation: Evaluating LLM Moderators Through a Unified Benchmark Dataset and Advocating a Human-First Approach},
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- author = {Naseem Machlovi and ...},
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- booktitle = {HCI International 2025 Late Breaking Work – Proceedings},
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- year = {2025},
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- note = {Accepted. Session [XX], Paper ID [XYZ]},
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- url = {https://2025.hci.international/proceedings.html}
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- }
 
 
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  ## 📖 Citation
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  ```bibtex
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+ @misc{machlovi2025saferaimoderationevaluating,
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+ title={Towards Safer AI Moderation: Evaluating LLM Moderators Through a Unified Benchmark Dataset and Advocating a Human-First Approach},
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+ author={Naseem Machlovi and Maryam Saleki and Innocent Ababio and Ruhul Amin},
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+ year={2025},
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+ eprint={2508.07063},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.AI},
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+ url={https://arxiv.org/abs/2508.07063},
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+ }