Papers with medical context retrieval

1 papers
MedEureka: A Medical Domain Benchmark for Multi-Granularity and Multi-Data-Type Embedding-Based Retrieval (2025.findings-naacl)

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Challenge: Embedding-based retrieval (EBR) is a mainstream approach in information retrieval.
Approach: They propose an enriched benchmark to evaluate retrieval capabilities of embedding models . they use four levels of granularity and six types of medical texts to prompt instruction-fine-tuned embeddable models.
Outcome: The proposed benchmark evaluates the retrieval capabilities of embedding models with multi-granularity and multi-data types.

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