EvidenceEmerging evidencev1.10.0
Alignment Collapse Under KV Cache Quantization: Diagnosis and Mitigation
Evidence card
- Claim
- Low-bit KV cache quantization can degrade refusal/alignment behavior while conventional metrics remain stable in tested settings.
- Evidence level
- Emerging evidence
- Source
- https://arxiv.org/abs/2606.09864
- Publication date
- 2026-06-01
- Authors or institution
- Bruce Changlong Xu, Adarsh Kumarappan, Mu Zhou
- System tested
- Eleven instruction-tuned models and multiple safety benchmarks as reported.
- Limitations
- Very recent preprint; production applicability depends on quantizer, model, deployment, and mitigations.
- What the evidence does show
- Low-bit KV cache quantization can degrade refusal/alignment behavior while conventional metrics remain stable in tested settings.
- What the evidence does not show
- That every KV cache optimization produces the same failure mode.
- Date last reviewed in UTC
- 2026-06-26T00:00:00Z
Site use
This source supports Cognivirus.com pages related to KV cache quantization, alignment degradation, inference optimization. Its role is bounded by the limitations listed above.