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本期的 7 篇论文如下:
[00:23] 🧠 The GAN is dead; long live the GAN! A Modern GAN Baseline(GAN已死;GAN万岁!一个现代的GAN基线)
[01:02] 🎥 An Empirical Study of Autoregressive Pre-training from Videos(视频自回归预训练的实证研究)
[01:49] 🚗 Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data, and Metric Perspectives(视觉语言模型是否准备好用于自动驾驶?从可靠性、数据和指标角度的实证研究)
[02:32] 🔍 On Computational Limits and Provably Efficient Criteria of Visual Autoregressive Models: A Fine-Grained Complexity Analysis(关于视觉自回归模型的计算极限与可证明高效准则:细粒度复杂度分析)
[03:14] 🌍 Centurio: On Drivers of Multilingual Ability of Large Vision-Language Model(Centurio:大型视觉语言模型多语言能力的驱动因素研究)
[03:50] 📜 Building Foundations for Natural Language Processing of Historical Turkish: Resources and Models(构建历史土耳其语自然语言处理的基础:资源与模型)
[04:26] 🔒 Entropy-Guided Attention for Private LLMs(熵引导注意力机制在私有大语言模型中的应用)
【关注我们】
您还可以在以下平台找到我们,获得播客内容以外更多信息
小红书: AI速递
本期的 7 篇论文如下:
[00:23] 🧠 The GAN is dead; long live the GAN! A Modern GAN Baseline(GAN已死;GAN万岁!一个现代的GAN基线)
[01:02] 🎥 An Empirical Study of Autoregressive Pre-training from Videos(视频自回归预训练的实证研究)
[01:49] 🚗 Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data, and Metric Perspectives(视觉语言模型是否准备好用于自动驾驶?从可靠性、数据和指标角度的实证研究)
[02:32] 🔍 On Computational Limits and Provably Efficient Criteria of Visual Autoregressive Models: A Fine-Grained Complexity Analysis(关于视觉自回归模型的计算极限与可证明高效准则:细粒度复杂度分析)
[03:14] 🌍 Centurio: On Drivers of Multilingual Ability of Large Vision-Language Model(Centurio:大型视觉语言模型多语言能力的驱动因素研究)
[03:50] 📜 Building Foundations for Natural Language Processing of Historical Turkish: Resources and Models(构建历史土耳其语自然语言处理的基础:资源与模型)
[04:26] 🔒 Entropy-Guided Attention for Private LLMs(熵引导注意力机制在私有大语言模型中的应用)
【关注我们】
您还可以在以下平台找到我们,获得播客内容以外更多信息
小红书: AI速递