sim-cot-supervised-implicit-chain-of-thought

Train LLMs to reason implicitly with step-level supervision, stabilizing latent representations while preserving 2.3× inference speedup over explicit chain-of-thought. Addresses training collapse in implicit reasoning by aligning intermediate latent states with explicit reasoning steps through an auxiliary decoder during training, then removing the decoder …

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