Researchers from UT Austin and AWS AI Introduce a Novel AI Framework ‘ViGoR’ that Utilizes Fine-Grained Reward Modeling to Significantly Enhance the Visual Grounding of LVLMs over Pre-Trained Baselines

Integrating natural language understanding with image perception has led to the development of large vision language models (LVLMs), which showcase remarkable reasoning capabilities. Despite their progress, LVLMs often encounter challenges in accurately anchoring generated text to visual inputs, manifesting as inaccuracies like hallucinations of non-existent scene elements or misinterpretations of object attributes and relationships. Researchers […]

The post Researchers from UT Austin and AWS AI Introduce a Novel AI Framework ‘ViGoR’ that Utilizes Fine-Grained Reward Modeling to Significantly Enhance the …

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