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Computer Science > Artificial Intelligence

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By Thommen George, Buddhika Laknath
| arxiv.org
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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[2510.07775] The Unintended Trade-off of AI Alignment:Balancing Hallucination Mitigation and Safety in LLMs

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By Thommen George, Buddhika Laknath
| arxiv.org
[Submitted on 9 Oct 2025] Title:The Unintended Trade-off of AI Alignment:Balancing Hallucination Mitigation and Safety in LLMs View a PDF of the paper titled The Unintended Trade-off of AI Alignment:Balancing Hallucination Mitigation and Safety in LLMs, by Omar Mahmoud and 4 other authors View PDF HTML (experimental) Abstract:Hallucination in large language models (LLMs) has been widely studied in recent years, with progress in both detection and mitigation aimed at improving truthfulness.
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