AutoThink is a reinforcement learning framework designed to equip R1-style language models with adaptive reasoning capabilities. Instead of always thinking or never thinking, the model learns when to engage in explicit reasoning, balancing performance and efficiency.
☆54Oct 14, 2025Updated last year
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