Clinical Context Variables Collectively Rival Model Choice in Embedding-Based Retrieval: Multi-Corpus Benchmark Study

By Y. Mikkelsen. 2026

Subfields: Information Retrieval & Search, Evaluation & Benchmarks, Medical & Health AI

Citations in the corpus

• Effects of Model Choice, Corpus Context, and Post Hoc Correction on Layer-Level Embedding Degradation in Clinical Document Retrieval: Experimental Study (2026, unknown): “…analysis had been resorted by synth_id, breaking the index alignment; query-document pairing for that sensitivity analysis was therefore recovered via BM25 top-1 matching with greedy one-to-one deduplication, replicating the alignment-recovery procedure documented in the companion study [3].”