Skip to content
Sagan

Paper

Architecture-Aware Reinforcement Learning Makes Sliding-Window Attention Competitive in Math Reasoning

Unreadunread

AI summary

arXiv:2606. 11634v1 Announce Type: new Abstract: The rapid progress of reasoning and agentic large language models (LLMs) has increased the demand for long-context inference, but self-attention (SA) scales quadratically with context length.