arXiv: cs.AI preprintsInternational6 November 2026
Depth-Recurrent Attention Mixture (Dreamer): Giving Latent Reasoning the Attention it Deserves
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arXiv:2601.21582v2 Announce Type: replace Abstract: Depth-recurrence facilitates latent reasoning by sharing parameters across depths. However, prior work lacks combined FLOP-, parameter-, and memory-matched baselines, underutilizes depth-recurrence due to partially fixed layer stacks, and ignores the bottleneck of constant hidden-sizes that restricts many-step latent reasoning. To address this, we introduce a modular framework of depth-recurrent attention mixtures (Dreamer), combining sequence attention, depth attention, and sparse expert attention. It alleviates the hidden-size bottleneck th
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