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    "headline": "Retrieved Examples Narrowed the Rare-Word Grammar Gap",
    "slug": "retrieved-examples-narrowed-the-rare-word-grammar-gap",
    "dek": "Structural retrieval helped language models judge syntactic contrasts containing low-frequency words.",
    "summary": "Structural retrieval helped language models judge syntactic contrasts containing low-frequency words.",
    "body_text": "Retrieval-augmented models consistently narrowed, but did not close, the performance gap between high- and low-frequency lexical items across syntactic phenomena and training scales. Semantic similarity alone offered little benefit; structural information was the useful retrieval signal.",
    "why_it_matters": "Structural retrieval helped language models judge syntactic contrasts containing low-frequency words.",
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      "Retrieval-augmented models consistently narrowed, but did not close, the performance gap between high- and low-frequency lexical items across syntactic phenomena and training scales."
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    "tags": [
      "episodic memory",
      "syntax",
      "retrieval augmentation"
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    {
      "source_id": "source-2026-08-26-019",
      "title": "arXiv preprint 2608.23851",
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    "title": "Retrieved Examples Narrowed the Rare-Word Grammar Gap",
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