EidosDoc: Implicit Structure Encoding for Cost-Effective Semi-Structured Document QA
cs.IR, cs.AI
Submitted: 2026-08-17
Updated: 2026-08-17
Terminology
Sources
- Monte Carlo Tree Search for Table-to-Multimodal Report Generation
- AnnoRetrieve: Efficient Structured Retrieval for Unstructured Document Analysis
- Structure then Query: Enabling Precise Analytical Queries over Unstructured Documents
- DocSage: An Information Structuring Agent for Multi-Doc Multi-Entity Question Answering
- GPT-4 Technical Report
- M3DocRAG: Multi-modal Retrieval is What You Need for Multi-page Multi-document Understanding
- SRAG: Structured Retrieval-Augmented Generation for Multi-Entity Question Answering over Wikipedia Graph
- Analyzing the Efficacy of an LLM-Only Approach for Image-based Document Question Answering
- Towards Accurate and Efficient Document Analytics with Large Language Models
- MHier-RAG: Multi-Modal RAG for Visual-Rich Document Question-Answering via Hierarchical and Multi-Granularity Reasoning
- LAD-RAG: Layout-aware Dynamic RAG for Visually-Rich Document Understanding
- Visual Template Inference for Data Extraction from Documents
- LightKGG: Simple and Efficient Knowledge Graph Generation from Textual Data
- Qwen2.5 Technical Report
- The Llama 3 Herd of Models
- PaddleOCR-VL-1.6: Expanding the Frontier of Document Parsing with Under-Optimized Region Refinement and Progressive Post-Training
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