R3G: A Reasoning--Retrieval--Reranking Framework for Vision-Centric Answer Generation

1. 1Produce a brief reasoning plan to specify required visual cues
2. 2Retrieve relevant images based on the reasoning plan
3. 3Rerank the retrieved images to select the most relevant ones
4. 4Integrate the selected images into the model's reasoning process

Computer vision engineers and AI researchers on a team benefit from R3G as it improves vision-centric answer generation, and product managers can leverage this technology to develop more accurate visual question answering systems

💡 Modular Reasoning-Retrieval-Reranking framework can effectively address the challenge of selecting and integrating relevant images into the reasoning process

💡 R3G framework improves vision-centric answer generation by retrieving & integrating relevant images