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Peking University HKUST University of Cambridge, Tencent Hunyuan Zhongguancun Academy
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RayOrch is presented, a programming model and distributed execution engine that preserves parent child relations throughout execution and reduces end to end time by 13.1 percent versus Ray Data and 29.0 percent versus Daft on MinerU, and by 16.0 percent versus Ray Data on Docling.
Even state-of-the-art models only achieve pass rates below 60% on a new benchmark that spans 1,431 diverse tasks, exposing critical weaknesses in general AI capabilities.
