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      </news:publication>
      <news:publication_date>2026-10-19T04:00:00.000Z</news:publication_date>
      <news:title>Study reveals faster knowledge reacquisition in language models through past bindings</news:title>
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  <url>
    <loc>https://www.sipply.dev/zh/story/study-reveals-faster-knowledge-reacquisition-in-language-e19c828c</loc>
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      <news:publication>
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      </news:publication>
      <news:publication_date>2026-10-19T04:00:00.000Z</news:publication_date>
      <news:title>研究揭示语言模型通过过去的绑定更快地重新获取知识</news:title>
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  <url>
    <loc>https://www.sipply.dev/story/study-shows-llms-enhance-engineering-simulator-calibration-18647087</loc>
    <news:news>
      <news:publication>
        <news:name>Sipply</news:name>
        <news:language>en</news:language>
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      <news:publication_date>2026-10-19T04:00:00.000Z</news:publication_date>
      <news:title>Study shows LLMs enhance engineering simulator calibration efficiency</news:title>
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  <url>
    <loc>https://www.sipply.dev/zh/story/study-shows-llms-enhance-engineering-simulator-calibration-18647087</loc>
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      <news:publication>
        <news:name>Sipply</news:name>
        <news:language>zh-cn</news:language>
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      <news:publication_date>2026-10-19T04:00:00.000Z</news:publication_date>
      <news:title>研究表明LLMs提高了工程模拟器的校准效率</news:title>
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  </url>
  <url>
    <loc>https://www.sipply.dev/story/new-approach-enhances-discrete-language-diffusion-with-3f02e498</loc>
    <news:news>
      <news:publication>
        <news:name>Sipply</news:name>
        <news:language>en</news:language>
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      <news:publication_date>2026-10-19T04:00:00.000Z</news:publication_date>
      <news:title>New approach enhances discrete language diffusion with region-dependent rates</news:title>
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  <url>
    <loc>https://www.sipply.dev/zh/story/new-approach-enhances-discrete-language-diffusion-with-3f02e498</loc>
    <news:news>
      <news:publication>
        <news:name>Sipply</news:name>
        <news:language>zh-cn</news:language>
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      <news:publication_date>2026-10-19T04:00:00.000Z</news:publication_date>
      <news:title>新方法通过区域依赖速率增强离散语言扩散</news:title>
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  <url>
    <loc>https://www.sipply.dev/story/torchneuron-simplifies-running-hugging-face-models-on-aws-3f8ca49a</loc>
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      <news:publication>
        <news:name>Sipply</news:name>
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      <news:publication_date>2026-10-19T00:00:00.000Z</news:publication_date>
      <news:title>AWS launches TorchNeuron to simplify running Hugging Face models on Trainium</news:title>
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  <url>
    <loc>https://www.sipply.dev/zh/story/torchneuron-simplifies-running-hugging-face-models-on-aws-3f8ca49a</loc>
    <news:news>
      <news:publication>
        <news:name>Sipply</news:name>
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      <news:publication_date>2026-10-19T00:00:00.000Z</news:publication_date>
      <news:title>AWS推出TorchNeuron，简化在Trainium上运行Hugging Face模型的过程</news:title>
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  </url>
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