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Author

V. Jeanselme

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Preprint Aug 2026

Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation

This work proposes PU-DPO, a preference optimization framework to prevent omission noise from corrupting the preference signal, and reformulates the objective under a positive-unlabeled (PU) learning framework, treating absent mentions as unlabeled rather than truly negative.

Y. Kobayashi, P. Ramesh, Muhammad Ahmed Chaudhry et al. · 0 citations

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