Papers with concurrent textual

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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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