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2026-02-13

9 saved articles

  1. Recursive Language Models

    [Submitted on 31 Dec 2025 (v1), last revised 11 May 2026 (this version, v3)] · arXiv.org

    We study allowing large language models (LLMs) to process arbitrarily long prompts through the lens of inference-time scaling. We propose Recursive Language Models (RLMs), a general inference paradigm that treats long prompts as part of an external environment and allows the LLM to programmatically examine, decompose, and recursively call itself over snippets of the prompt. We find that RLMs can successfully process inputs up to two orders of magnitude beyond model context windows and, even for

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