Question Driven Image Caption

Question-driven image captioning focuses on generating image descriptions tailored to specific questions, enhancing visual question answering (VQA) systems. Current research emphasizes using these captions as prompts for large language models (LLMs), improving performance, particularly in zero-shot VQA scenarios, by leveraging the LLMs' reasoning capabilities. This approach, often involving decomposing complex questions into simpler ones, shows promise in addressing limitations of existing VQA models, particularly for multi-hop reasoning and knowledge-based questions, leading to more accurate and robust question answering systems. The resulting improvements have significant implications for various applications requiring visual understanding and complex reasoning, such as robotics and information retrieval.