How can we solve long-range recall in linear attention? [D]

Recently, I started working on DNA sequence modeling and decided to explore linear attention , mainly because DNA sequences can easily reach 1M tokens , making standard softmax attention extremely expensive in terms of memory and computation. The model performed reasonably well on several benchmarks, but I ran into a major problem with long-range recall . On a Needle in a Haystack-style benchmark,…