VisDoM: Multi-Document QA with Visually Rich Elements Using Multimodal Retrieval-Augmented Generation (2025.naacl-long)
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| Challenge: | Existing benchmarks for document QA for visually rich documents outperform unimodal and long-context LLMs by 12-20%. |
| Approach: | They propose a multimodal Retrieval Augmented Generation approach that integrates visual and textual retrieval with linguistic reasoning. |
| Outcome: | The proposed approach outperforms unimodal and long-context LLM benchmarks for document QA by 12-20%. |
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