Paper proposes reinforcement learning to incentivize LLM self-learning
Read original source →arxiv.orgThe paper argues that unfamiliar-domain problem solving needs tightly coupled knowledge acquisition and reasoning, beyond what parametric knowledge or retrieval-augmented generation provides. It proposes reinforcement learning as the mechanism to incentivize self-learning in large language models.
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