Best-of-Depth: Learning Exploratory Dynamics in Looped Transformers
Trains a looped transformer using the lowest-loss prediction along its recurrent trajectory. Different depths can produce different valid solutions, which are evaluated on puzzles and code generation.
First public: · Added to this list: November 9, 2026
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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.