Kuaishou Open-Sources GoLongRL, Overcoming Artificial Intelligence Bottlenecks in Long-Context Reinforcement Learning

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Kuaishou Technology’s large language model team, in collaboration with the University of Chinese Academy of Sciences, has open-sourced GoLongRL, a comprehensive post-training framework designed to solve critical performance degradation in artificial intelligence models processing exceptionally long text sequences. Current long-context reinforcement learning techniques suffer from highly homogenous training data that focuses almost exclusively on locating specific data points within long essays. This narrow approach leaves models unequipped to handle complex structural text duties like sorting, abstract summaries, or multi-hop logical reasoning. To address this limitation, the Chinese research team released a fully open-source system that includes a high-utility dataset of…

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