Long Shu

SAFE-G: Structure-aware Faithful Evidence-guided Generation for Knowledge-based Visual Question Answering

This work proposes SAFE-G, a Structure-Aware Faithful Evidence-guided Generation framework, which enables precise evidence localization and trustworthy reasoning and introduces a reinforcement learning strategy with an evidence-grounded reward that assigns credit to correct answers only when the selected evidence is correct.