This is Part 2 of a three-part series on why long-context language models still struggle with memory.

In Part 1, we saw why increasing context length does not solve the memory problem.

Here, we introduce a memory-centric way of thinking that explains why models remember, forget, or fail under long context.








Why Architectural Labels...