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Escaping the Verifier: Learning to Reason via Demonstrations

Locke Cai, Max Ryabinin, Ivan Provilkov
Jun 5, 2026 at 04:00
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arXiv:2511.21667v4 Announce Type: replace-cross Abstract: Training Large Language Models (LLMs) to reason often relies on Reinforcement Learning (RL) with task-specific verifiers. However, many real-world reasoning-intensive tasks lack verifiers, despite offering abundant expert demonstrations that remain under-utilized for reasoning-focused...

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