Using 100 medical images and an RLVR reward that balances precision and recall, the authors push Qwen2.5-VL-7B to a 77.8 field-level F1 on their private 203-image medical test set, above the compared baselines.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Efficient Medical VIE via Reinforcement Learning
Using 100 medical images and an RLVR reward that balances precision and recall, the authors push Qwen2.5-VL-7B to a 77.8 field-level F1 on their private 203-image medical test set, above the compared baselines.