Loïc Cabannes

Sparse Delta Memory: Scaling the State of Linear RNNs through Sparsity

Loïc Cabannes, Pierre-Emmanuel Mazaré, Gergely Szilvasy, Matthijs Douze, Maria Lomeli, Ilze Amanda Auzina, et al.

Linear attention models allow a fixed state size and a fixed amount of compute per token. However, due to their limited state size, linear attention models fall behind in long-context recall compared to softmax-attention-based transformer architectures. Increasing the state size…Read more