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RAPPER: Reinforced Rationale-Prompted Paradigm for Natural Language Explanation in Visual Question Answering
2024-01-16
· ICLR 2024 poster ·
anchor
Findings
IC-1166
MPLUG-Owl's VQA accuracy on VQA-X increases from 68.30% to 74.48% when prompted with progressively higher-quality rationales generated by RAPPER