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English(EN) An open RL dataset (MiMo-V2.6-RL-oss, cyber) shares 223 of CyberGym's 1,507 bugs; both draw on ARVO. A plain ID join finds only 139, because OSS-Fuzz renumbered

开放的强化学习数据集共享bug，使基准测试比较复杂化

作者 PulseAugur 编辑部 · [2 个来源] ·

新发布的开放强化学习数据集MiMo-V2.6-RL-oss被发现与现有的CyberGym基准测试共享了相当一部分bug。这两个数据集都借鉴了OSS-Fuzz bug的ARVO集合，两者之间识别出223个相同的bug。然而，由于OSS-Fuzz中的bug重新编号，简单的ID连接只能检测到139个重叠，这凸显了基准测试比较中潜在的陷阱。分析表明，虽然一些重叠是预料之中的，但共享的bug数量略多于随机概率的预期，尽管这并不表明报告的分数被夸大了。 AI

影响 突出了强化学习代理基准测试有效性和可复现性方面潜在的问题。

排序理由 对两个开放强化学习数据集之间重叠的分析。

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开放的强化学习数据集共享bug，使基准测试比较复杂化

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Composite score across the factors below. Higher = stronger signal that this story matters right now.
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Research
对两个开放强化学习数据集之间重叠的分析。
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High
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报道来源 [2]

  1. dev.to — LLM tag TIER_1 English(EN) · Raimondas Lencevicius ·

    相同错误，两个ID：一个开放RL数据集共享CyberGym 15%的错误，而简单的ID连接错过了38%

    <p>Open RL environments are great for research. They also open another route for benchmark overlap. Here is a small, reproducible case, plus one pitfall that will bite anyone checking for it.</p> <p>(Short version: this does not show that any reported score is inflated; caveats b…

  2. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    一个开放的RL数据集（MiMo-V2.6-RL-oss, cyber）分享了CyberGym的1507个bug中的223个；两者都借鉴了ARVO。简单的ID连接只找到了139个，因为OSS-Fuzz重新编号了

    An open RL dataset (MiMo-V2.6-RL-oss, cyber) shares 223 of CyberGym's 1,507 bugs; both draw on ARVO. A plain ID join finds only 139, because OSS-Fuzz renumbered its bugs, and a 13-gram filter against CyberGym's task descriptions flags none. Task rows hold no PoCs; this doesn't sh…

    链接 dev.to/…/same-bug-two-ids-an-open-rl-data… github.com/…/agentleak

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