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Grok 4.6 scores 61 on the Artificial Analysis Intelligence Index· Grok 4.6 在 AI 分析智能指数上的评分
Grok 4.6 在人工智能分析智能指数上得分为 61。
📎 发布于 08-13 00:54🔗 阅读原文（artificialanalysis.ai）
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Robust PAC Learning of Concurrent Stochastic Games· 并发随机游戏的鲁棒 PAC 学习
We introduce the first Probably Approximately Correct (PAC) learning framework for general…
领域：cs.LG作者：Angel Y. He、David Parker
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Para-Pipe: Exploiting Hierarchical Operator Parallelism of ML Computational Graphs on SoCs· Para-Pipe：利用 SoC 上 ML 计算图的层次并行性
As edge-based deep learning applications become more complex, optimizing performance on he…
领域：cs.DC作者：Yujie Zhang、Huiying Lan、Ehsan Aghapour
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SWE-Gate: Passing Functional Tests Is Not Enough for Software Engineering Agents· SWE-Gate: 代码代理仅通过功能测试不够
Repository-level software engineering benchmarks have significantly advanced the evaluatio…
领域：cs.SE作者：Xin He、Yanlin Wang、Mingwei Liu
论文精选 60已解读
Parameterised graph theory for tensor networks: entanglement rerouting, structural simplification, and agnostic tomography· 参数化图论与张量网络
Parameterised graph theory studies how the complexity of graph-theoretic problems depends …
领域：quant-ph作者：Matthias C. Caro、Natalie McHugh、Sergii Strelchuk
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SENTINEL-RL: Offloading Topological Reasoning from LLM Agents in the Security Operations Center· SENTINEL-RL: 从LLM代理中卸载拓扑推理
Large language model (LLM) agents are increasingly proposed as autonomous SOC analysts, bu…
领域：cs.CR作者：Uday Vallabhaneni、Cassie L. Cagwin、David J. Wild
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