ReAG: Reasoning-Augmented Generation for Knowledge-based Visual Question Answering

1. 1Retrieve external documents relevant to the query
2. 2Condition the answer generation process using the retrieved documents
3. 3Use reasoning-augmented generation to produce accurate answers
4. 4Fine-tune the model on knowledge-based VQA tasks to improve performance

AI researchers and engineers working on multimodal large language models can benefit from ReAG, as it enhances the model's ability to answer domain-specific and knowledge-intensive queries

💡 ReAG enhances the ability of multimodal large language models to answer domain-specific and knowledge-intensive queries by leveraging external knowledge

🤖 ReAG: Reasoning-Augmented Generation for Knowledge-based Visual Question Answering