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Apriel-Reasoner: RL Post-Training for General-Purpose and Efficient Reasoning
Building general-purpose reasoning models using reinforcement learning with verifiable rewards (RLVR) across diverse domains has been widely adopted by frontier open-weight models. However, their training recipes and domain mixtures are often not disclosed. Joint optimization across domains poses si
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