Teaching MLLMs to Think with Images: GRIT Methodology

GRIT is a framework aimed at addressing challenges in visual reasoning by improving multi-modal large language model (MLLM) reasoning through a grounded reasoning paradigm. It employs GRPO-GR reinforcement learning for efficient training and emphasizes data efficiency. Experimental analysis showcases robust performance using defined metrics and qualitative evaluations. The framework emphasizes scalability, diverse data impacts, and contributes significantly to the field through innovative...