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Fangxu Yu

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نسخة أولية وصول مفتوح

CURIO: Curiosity-Driven Test-Time Learning for Open-Ended Discovery

Tao Feng, Fangxu Yu, Zijie Lei وآخرون · 2026

Open-ended discovery requires learning from repeated attempts while continuing to explore directions whose value is not yet apparent. Search with a frozen large language model (LLM) can reuse previous solutions in context, but cannot update the model from its successes and failures on the test problem. Reinforcement le …

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