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Aligned Data Can Induce Misalignment via Context Confusion

arXiv:2609.38379v1 Announce Type: new Abstract: Large language models (LLMs) are frequently updated for various use cases, where filtering out misaligned training samples is a common practice for preventing post-update misalignment. However, alignment is inherently context-dependent: a recommendati…

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  1. 2026-10-01 04:00 · arXiv cs.AI
    Aligned Data Can Induce Misalignment via Context Confusion

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