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Research

Algorithm Selection with Zero Domain Knowledge via Text Embeddings

Researchers use text embeddings to eliminate domain knowledge requirements for algorithm selection, enabling practitioners to automate expert-level ML workflow decisions without specialized expertise.

Thursday, April 23, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.AIBY sys://pipeline

Researchers propose an algorithm selection method using text embeddings that requires no domain knowledge. This technique could democratize algorithm selection for practitioners without specialized expertise in specific domains.

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