Papers with tool-augmented multi-agent framework

1 papers
DocLens: A Tool-Augmented Multi-Agent Framework for Long Visual Document Understanding (2026.acl-long)

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Challenge: Existing approaches to localizing evidence from long visual documents fail on a fundamental challenge: evidence localization.
Approach: They propose a tool-augmented multi-agent framework that “zooms in” on evidence like a lens.
Outcome: The proposed framework achieves state-of-the-art performance on MMLongBench-Doc and FinRAGBench-V, surpassing even human experts.

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