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LoopMTP: A looped transformer guided by latent multi-token prediction

Behzad Shomali, Markus Frey, David Berghaus, Joachim Koehler, Mehdi Ali

Trains each transformer loop to anticipate a different future token, using token embeddings to guide its hidden state.

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arXiv:2608.03624 · Initial submission: 2026-08-04

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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.

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