Papers by Linxin Bao

1 papers
Attention as Selector: Unlocking VLM Attention for Long Document Page Retrieval (2026.acl-long)

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Challenge: Existing page-level retrieval methods lack query–page interaction before similarity scoring . Existing methods require large-scale datasets to align visual and textual embeddings .
Approach: They propose a retrieval framework that utilizes attention mechanisms inside VLMs for page selection.
Outcome: The proposed retrieval framework outperforms embedding-based retrieval methods on four long-document benchmarks.

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