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Peking University, Tencent
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Most RLVR datasets are just remixes of a few originals, and this paper shows how to trace them back to their source, revealing widespread data contamination.
Training tool-calling agents with just an 8B language model outperforms traditional methods that depend on expensive resources, reshaping the landscape of tool learning.
