Recursive Language Models shatter context windows, beating transformer baselines on long prompts
A new inference paradigm, Recursive Language Models (RLMs), treats long prompts as an external environment and lets the model call itself recursively over prompt snippets. Experiments show RLMs handle inputs up to 100× longer than standard context windows and outperform top‑tier transformer models on four long‑context benchmarks, with code released for scaling collaborators.