Papers with visual reasoning capability
MDocRAG-RL: Empowering Multi-Modal Document RAG via Complex Visual Reasoning with Reinforcement Learning (2026.findings-acl)
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| Challenge: | Existing RAG systems produce suboptimal embeddings and naively insert images into context without adequate visual perception, limiting reasoning capabilities. |
| Approach: | They propose a novel RAG framework for complex visual reasoning that integrates multimodal large language models with external knowledge to enhance retrieval efficiency. |
| Outcome: | The proposed framework achieves state-of-the-art performance on multiple benchmarks. |