Author

Kristian Schwethelm

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Preprint Aug 2026

Depth-adaptive Inference of Looped Language Models via Continuous Depth Batching

Continuous depth batching (CDB) is introduced, which schedules at the granularity of individual loop iterations, and handles boundary stages and loop steps in separate priority queues, makes exit decisions one step ahead, and overlaps all scheduling work with GPU computation.

Kristian Schwethelm, D. Rueckert, G. Kaissis · 0 citations