A publication highlights two papers: one on selective attention and another on the limitations of subquadratic methods, as context for assessing claims about these approaches.
A May 5, 2026 publication points to two papers: one concerns selective attention; the other, the limitations of subquadratic methods. The author says the papers help contextualize challenges faced by SubQ.
This context can help readers assess claims about sparse attention and subquadratic architectures, without treating the publication as proof of performance. If you use AI to study or apply the material, avoid entering internal or identifiable data; follow your organization’s policy and share only what is necessary.