What Makes Recurrence Effective in Looped Language Models?
Compares loop layouts and ways of passing information between loops in language models. Examines when recurrence helps reasoning and when it helps less on knowledge-dependent tasks.
First public: · Added to this list: October 18, 2026
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ArXiv preprint
arXiv:2609.36636 · Initial submission: 2026-09-29
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Recurrent reasoning — Repeat parts of the model or keep intermediate information in memory while working through a problem. Some methods also learn how many passes to run.
Analysis and evaluation — Measure how well these methods work, investigate what their internal computation does, and identify where they fail. This includes experiments, studies of model internals, and mathematical results.
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