LOTUS: Looped Transformer with Parallel Latents
burny_tech · x · 2026-07-19
Researchers introduced LOTUS (Looped Transformers with parallel supervision on latents). This method inserts K latent blocks between the model's question and answer, running R loops of computation with the base model to obtain the final latents.
Training uses two simple loss functions: first, a standard cross-entropy loss on the chain-of-thought via the model's own LM head; second, a standard next-token prediction based on these latents to derive the final answer.
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