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FreqDepthKV: Efficient KV Cache Compression for Long-Context LLM Inference

FreqDepthKV is a new inference-time method that compresses KV caches by factorizing adjacent-layer states into shared low-frequency components and sparse high-frequency residuals. This approach maintains layer-specific information critical for retrieval and multi-step reasoning while reducing memor...

Topic: LLM Inference Source: arXiv · arxiv.org Published 2026-07-07 17:26 UTC Fetched 2026-07-08 05:20 UTC

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Long-context LLM inference is often constrained by the large memory and bandwidth demands of KV caches. FreqDepthKV offers a way to compress these caches effectively without losing essential information, enabling more efficient and robust long-context processing.

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Score 78 Source Type arxiv Reposts 0 Topic Quality 58

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