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    <title>PyPI recent updates for lsr-benchmark</title>
    <link>https://pypi.org/project/lsr-benchmark/</link>
    <description>Recent updates to the Python Package Index for lsr-benchmark</description>
    <language>en</language>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/lsr-benchmark/0.1.0/</link>
      <description>The lsr-benchmark aims to support holistic evaluations of the lexical sparse retrieval paradigm to contrast efficiency and effectiveness across diverse retrieval scenarios.</description>
<author>maik.froebe@uni-jena.de, ferdinand.schlatt@uni-jena.de, tim.hagen@uni-kassel.de, heinrich.merker@uni-jena.de, martin.potthast@uni-kassel.de</author>      <pubDate>Wed, 21 Jan 2026 15:36:03 GMT</pubDate>
    </item>    <item>
      <title>0.0.1rc5</title>
      <link>https://pypi.org/project/lsr-benchmark/0.0.1rc5/</link>
      <description>The lsr-benchmark aims to support holisitc evaluations of the lexical sparse retrieval paradigm to contrast efficiency and effectiveness accross diverse retrieval scenarios.</description>
      <pubDate>Fri, 31 Oct 2025 13:31:15 GMT</pubDate>
    </item>    <item>
      <title>0.0.1rc4</title>
      <link>https://pypi.org/project/lsr-benchmark/0.0.1rc4/</link>
      <description>The lsr-benchmark aims to support holisitc evaluations of the lexical sparse retrieval paradigm to contrast efficiency and effectiveness accross diverse retrieval scenarios.</description>
      <pubDate>Thu, 30 Oct 2025 14:02:23 GMT</pubDate>
    </item>    <item>
      <title>0.0.1rc3</title>
      <link>https://pypi.org/project/lsr-benchmark/0.0.1rc3/</link>
      <description>The lsr-benchmark aims to support holisitc evaluations of the lexical sparse retrieval paradigm to contrast efficiency and effectiveness accross diverse retrieval scenarios.</description>
      <pubDate>Mon, 27 Oct 2025 14:18:17 GMT</pubDate>
    </item>    <item>
      <title>0.0.1rc2</title>
      <link>https://pypi.org/project/lsr-benchmark/0.0.1rc2/</link>
      <description>The lsr-benchmark aims to support holisitc evaluations of the lexical sparse retrieval paradigm to contrast efficiency and effectiveness accross diverse retrieval scenarios.</description>
      <pubDate>Mon, 13 Oct 2025 15:16:25 GMT</pubDate>
    </item>    <item>
      <title>0.0.1rc1</title>
      <link>https://pypi.org/project/lsr-benchmark/0.0.1rc1/</link>
      <description>The lsr-benchmark aims to support holisitc evaluations of the lexical sparse retrieval paradigm to contrast efficiency and effectiveness accross diverse retrieval scenarios.</description>
      <pubDate>Mon, 13 Oct 2025 15:10:24 GMT</pubDate>
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