PU-DPO applies positive-unlabeled learning to preference optimization so that report generators learn to mention findings that are present but missing from noisy training reports.
Applied Sciences , volume=
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation
PU-DPO applies positive-unlabeled learning to preference optimization so that report generators learn to mention findings that are present but missing from noisy training reports.