arXiv: cs.AI preprintsInternational5 November 2026
Does Context Compression Preserve Refusal Alignment?
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arXiv:2611.06380v1 Announce Type: new Abstract: Context compression reduces inference cost by encoding inputs into compact representations while preserving semantic content. An open question is whether semantic preservation alone is sufficient to maintain downstream behaviours such as refusal alignment. We investigate this question and find that encoder-based compression systematically weakens refusal behaviour in instruction-tuned language models, despite high reconstruction fidelity. This effect persists across model families and compression architectures. Mechanistic analysis shows that com
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