VRRL trains LVLMs for visually grounded self-reflection via prefix masking and buffered roll-ins, yielding higher out-of-distribution accuracy on grounding and navigation tasks than standard RL baselines.
T able D reamer: Progressive and Weakness-guided Data Synthesis from Scratch for Table Instruction Tuning
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Visually Grounded Self-Reflection for Vision-Language Models via Reinforcement Learning
VRRL trains LVLMs for visually grounded self-reflection via prefix masking and buffered roll-ins, yielding higher out-of-distribution accuracy on grounding and navigation tasks than standard RL baselines.