FIELD NOTES TOPIC

data retrieval

3 notes, newest first.

  1. Beyond Top-K: Replacing Black-Box Retrieval with Interpretable Agentic Operations

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    The authors propose a new method for document search called READ (Reliable Embedding-free Agentic Document-search). This method uses an interpretable agent that performs three operations: normalized lexical search…

  2. Comparative Approaches to Agent Retrieval over Large Skill Libraries

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    The study compares two systems for deciding which skills to load from large skill libraries in AI agents. The first system is a hybrid ranker that combines lexical and dense-embedding retrieval for sparse, on-demand…

  3. Field Order Should Not Matter: Permutation-Invariant Embedding Model Fine-Tuning for Structured Metadata Retrieval

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    Researchers propose a method called permutation-invariant fine-tuning (PI-FT) to improve structured metadata retrieval. They show that the choice of field order in a record can significantly impact retrieval quality…