Neha Ann John

Be Consistent! Enhancing Robust Visual Reasoning in LVLMs with Consistency Constraints

ConVLM is presented, which improves LVLM reasoning through Group Relative Policy Optimization-based reinforcement learning with a novel consistency reward, and ConVBench, a complex vision-centric reasoning benchmark in which each image is paired with two logically equivalent questions across six categories.