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Alignment Collapse Under KV Cache Quantization: Diagnosis and Mitigation
arXiv cs.LG — Machine Learning
Factual evidence
What the source reports
Research demonstrates low-bit KV cache quantization causes silent safety alignment degradation across enterprise-scale open LLMs.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.LG — Machine Learning · RESEARCH
- Published by source
- 6 November 2026
- Collected by OneBench
- 11 Aug 2026, 15:58 UK
Stored source excerpt
arXiv:2606.09864v2 Announce Type: replace Abstract: Key-value (KV) cache quantization is widely used to reduce Large Language Model (LLM) inference memory, yet existing evaluations solely focus…
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