2 papers
cs.LG2026
Looped Latent Attention: Cross-Loop KV Compression for Looped Transformers
James O' Neill, Fergal Reid
Looped, weight-tied Transformers reduce parameters by reusing a single block, but decoding still stores a separate K/V cache for every recurrence step. We show that this loop-index…
cs.LG2026
Low-Rank Key Value Attention
James O'Neill, Robert Clancy, Mariia Matskevichus +1
The key-value (KV) cache is a primary memory bottleneck in Transformers. We propose Low-Rank Key-Value (LRKV) attention, which reduces KV cache memory by exploiting redundancy acro…