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News/Supervised Fine-tuning with Synthetic Rationale Data Hurts Real-World Disease Prediction
arxiv
PublishedJune 10, 2026 at 4:00 AM

Supervised Fine-tuning with Synthetic Rationale Data Hurts Real-World Disease Prediction

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Publisher summary· verbatim

arXiv:2606.10279v1 Announce Type: new Abstract: Supervised fine-tuning with synthetic rationale data is widely assumed to improve language model performance on clinical prediction tasks by teaching models not just what to predict but why. We test this assumption on five-year Alzheimer's disease and

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