arxiv
PublishedMay 15, 2026 at 4:00 AM
—neutral
GradShield: Alignment Preserving Finetuning
Publisher summary· verbatim
arXiv:2605.14194v1 Announce Type: new Abstract: Large Language Models (LLMs) pose a significant risk of safety misalignment after finetuning, as models can be compromised by both explicitly and implicitly harmful data. Even some seemingly benign data can inadvertently steer a model towards misaligne
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Originally published on arxiv ↗