Chain-of-Spot: Interactive Reasoning Improves Large Vision-Language
Models
Chain-of-Spot: Interactive Reasoning Improves Large Vision-Language
Models
In the realm of vision-language understanding, the proficiency of models in interpreting and reasoning over visual content has become a cornerstone for numerous applications. However, it is challenging for the visual encoder in Large Vision-Language Models (LVLMs) to extract useful features tailored to questions that aid the language model's response. …