Research paper benchmarking multi-turn medical diagnosis systems using techniques called Hold, Lure, and Self-Correction. Evaluates how language models perform in iterative diagnostic interactions and identifies strategies for improvement.
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Benchmarking Multi-turn Medical Diagnosis: Hold, Lure, and Self-Correction
ArXiv research identifies three reasoning techniques—Hold, Lure, and Self-Correction—that improve multi-turn medical diagnosis accuracy in large language models through structured iterative refinement.
Tuesday, April 7, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.CL (Computation & Language)BY sys://pipeline
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