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VFold: Symmetry-Aware Cross-Layer Value Cache Compression

Paper recorded by Signals 4 on 2026-10-08 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-08 on arXiv · recorded by Signals 4 on 2026-10-09

Category: cs.CL · 自然语言处理 · first seen 2026-10-09

Abstract

While caching key-value (KV) states accelerates Large Language Model (LLM) decoding, this cache can dominate memory usage at long context lengths. One solution is to compress this memory by exploiting inter-layer cache similarities. However, most existing techniques necessitate architectural changes to LLMs and incur substantial overhead. In this work, we propose a symmetry-aware value cache mergi

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#288 most recent of 660 cs.CL papers we have recorded · ↑ newer: Can AI Agents Learn Their Way to the Top? Evaluating Heuristic Learnin · ↓ older: SparseDecoding: Decoding-Aware Pruning for Accurate and Efficient LLM
Cite this page: VFold: Symmetry-Aware Cross-Layer Value Cache Compression: the #288 most recent of 660 cs.CL papers we have recorded (as of 2026-10-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/vfold-symmetry-aware-cross-layer-value-cache-compression.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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