Reflection (artificial intelligence)

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It has been suggested that Reasoning language model be merged into this article. (Discuss) Proposed since April 2025.

Reflection is the term used for how some large language models (specifically reasoning language models (RLMs)) share information among their input or previous layers, based on their outputs or subsequent layers. This process is designed to mimic self-assessment and internal deliberation, aiming to minimize errors (like hallucinations) and increase interpretability. Reflection is a form of "test-time compute", where additional computational resources are used during inference.