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    <title>weekly-papers-2026-05-30 on Sparse Notes</title>
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    <description>Recent content in weekly-papers-2026-05-30 on Sparse Notes</description>
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      <title>Attention Is All You Need (2017): The Architecture That Ate Machine Learning</title>
      <link>https://sparsenotes.com/posts/2026/05/papers/attention-is-all-you-need/</link>
      <pubDate>Sat, 30 May 2026 00:00:00 +0000</pubDate>
      
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      <description>The 2017 Vaswani et al. paper that introduced the Transformer — replacing recurrence and convolution with stacked self-attention, and quietly becoming the substrate for nearly every frontier model of the decade that followed.</description>
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      <title>On Language Generation in the Limit with Bounded Memory</title>
      <link>https://sparsenotes.com/posts/2026/05/papers/bounded-memory-generation/</link>
      <pubDate>Sat, 30 May 2026 00:00:00 +0000</pubDate>
      
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      <description>Kleinberg, Mehrotra, and Saberi extend the classical theory of language generation in the limit to learners with bounded memory — showing that generation remains achievable for every countable collection, while density and identification collapse to finite collections.</description>
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      <title>Reasoning in Memory: Latent Reasoning Without Autoregressive Thoughts</title>
      <link>https://sparsenotes.com/posts/2026/05/papers/rim-working-memory/</link>
      <pubDate>Sat, 30 May 2026 00:00:00 +0000</pubDate>
      
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      <description>Aichberger and Hochreiter propose RiM, a latent reasoning method that replaces autoregressively generated chain-of-thought tokens with fixed memory blocks processed in a single forward pass — matching or exceeding existing latent reasoning methods while decoupling internal computation from external communication.</description>
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      <title>Weekly CS Paper Digest — May 24–30, 2026</title>
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      <description>Three short notes from the May 24–30 paper digest: one Seminal Paper of the Week (Attention Is All You Need) plus the two strongest picks of the week (Reasoning in Memory and Bounded-Memory Language Generation).</description>
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