Beyond Parameters: Exploring Virtual Logic Depth for Scaling Laws
Repeats transformer layers with shared parameters in several reuse patterns. Compares how added computation affects memorization and reasoning at a fixed parameter count, using synthetic tasks and language-model benchmarks.
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.
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.