KV2 min read
AttSVD:Prompt-Adaptive Low-Rank KV Cache Compression via Attention-Guided SVD
The key-value (KV) cache of autoregressive transformers grows linearly with context length and dominates memory at long context. Most training-free remedies evict low-importance tokens, an irreversible choice along the sequence axis.
By Sara Abdali, Jongwoo Ko, Pashmina CameronarXiv cs.LG
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Originally published by arXiv cs.LG on Oct 7, 2026.
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