EidosDoc: Implicit Structure Encoding for Cost-Effective Semi-Structured Document QA
Semi-structured documents are ubiquitous in scientific reports, financial statements, and technical manuals. Question answering over such documents requires simultaneous understanding of text, tables, charts, and complex hierarchical layouts. Existing methods either rely on repeatedly calling large language models for structure parsing and retrieval, leading to high cost and large latency, or they flatten the document and lose layout and hierarchy information, sacrificing answer accuracy. To address this, we propose EidosDoc, a novel system that achieves state-of-the-art accuracy with minimal computational expense. Our approach introduces three core innovations. (1) An Implicit Structure ...
| Authors | Teng Lin, Yuyu Luo, Nan Tang |
|---|---|
| Primary category | cs.IR |
| Published | 17 August 2026 |
| Last updated at source | 17 August 2026 |
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