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Grouped Value Attention: Efficient KV Caching via On-Demand Key Reconstruction

64 upvotes · 8 SEP 2026 · Vishesh Tripathi, Abhay Kumar, Ramsha Khan

This paper introduces Grouped Value Attention (GVA), a technique to reduce the memory footprint of Transformer decoding by storing grouped values and reconstructing content keys. Practitioners might care about this because it could lead to faster and more efficient models.

Transformer decodingkey-value cachingcontinual learningcachingattentionRoPE