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Forget slow, expensive neural verifiers: this work shows a simple corpus lookup can provide faster, better rewards for RL fine-tuning of QA models.
LLMs can reason more robustly by fusing contextual hidden states with vocabulary embedding guidance, enabling dynamic switching between latent and explicit thinking.
