CURIO: Curiosity-Driven Test-Time Learning for Open-Ended Discovery
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...
Tao Feng, Fangxu Yu, Zi-Jie Lei et al.
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