Author

Adnan El Assadi

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Preprint Aug 2026

The Embedder's Dilemma: LLMs Are Better, but at What Cost?

These results support a division of labour: use embedding models for similarity, classification, and clustering, and reserve LLMs for reasoning-intensive retrieval, and reserve LLMs for reasoning-intensive retrieval.

Adnan El Assadi, Niklas Muennighoff, Jinhyuk Lee · 1 citation