Iterating layers at inference lifts reasoning scores
Looped Transformers achieve logical‑reasoning gains without any extra generated tokens. By reusing the same Transformer block multiple times at inference, they deepen the computation on‑the‑fly; although the model size remains unchanged, deeper loops naturally increase inference time compared to a…
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- 2026-10-27 06:00 · DEV Community — Machine Learning
Iterating layers at inference lifts reasoning scores