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Open-weight embedding models fine-tuned via contrastive ranking beat frontier LLMs like GPT-5.2 and Claude-Sonnet-4.6 by over 10 percentage points on real-world entity disambiguation.
LLMs can diagnose better by explicitly reasoning about "what if" scenarios, just like doctors do in training.
