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(CA) LAMB: A Modern Contextual Language Model for Latin

新专业LLM发布，用于拉丁语和鼠标行为分析

作者 PulseAugur 编辑部 · [2 个来源] ·

研究人员开发了两个专业的语言模型：LAMB，专为拉丁语设计；MouseGPT，用于分析鼠标行为。LAMB基于ModernBERT架构，使用新颖的掩码方案训练了超过740亿个拉丁语token，在大多数任务上的表现优于现有的拉丁语编码器。MouseGPT是一个视觉语言模型，将动物活动的原始视频转换为自然语言，用于自动行为分析，在精度和适应性方面均优于传统方法。 AI

影响 这些专业模型展示了将LLM应用于历史语言和复杂生物分析等细分领域的进步。

排序理由 两篇介绍新型语言和视觉语言模型的论文。

在 arXiv cs.CL 阅读 →

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新专业LLM发布，用于拉丁语和鼠标行为分析

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28 / 100
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Research
两篇介绍新型语言和视觉语言模型的论文。
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model release, paper, product
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报道来源 [2]

  1. arXiv cs.CL TIER_1 (CA) · Aidan McCarthy ·

    LAMB: 一种用于拉丁语的现代上下文语言模型

    arXiv:2610.31723v1 Announce Type: new Abstract: This article introduces Latin Modern BERT (LAMB), an encoder for the Latin language based on the ModernBERT architecture, pretrained in two phases on more than 74B Latin tokens using a novel morphologically informed masking regimen.…

  2. arXiv cs.CV TIER_1 English(EN) · Teng Xu, Taotao Zhou, Youjia Wang, Peng Yang, Simin Tang, Kuixiang Shao, Zifeng Tang, Yifei Liu, Xinyuan Chen, Yihan Liu, Zhengning Xu, Boyang Xia, Hongshuang Wang, Xiaohui Wang, Huoqing Luo, Jingya Wang, Ji Hu, Jingyi Yu ·

    MouseGPT：用于小鼠行为分析的大规模视觉语言模型

    arXiv:2503.10212v3 Announce Type: replace Abstract: Analyzing animal behavior is crucial in neuroscience, yet deciphering its intricate dynamics remains challenging. Traditional machine vision approaches detect spontaneous behaviors but are constrained by limited interpretability…

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