Papers Document AI
“Document AI” 태그가 달린 논문 59편 · 필터 해제
GDP.pdf: Benchmarking Grounded Multimodal Reasoning over Professional PDF Documents
A large share of day-to-day work in professional domains happens inside PDF files: benefits packets, leases, datasheets, clinical guidelines, construction plans. Benchmarks for document AI have generally measured the req…
Multimodal ReasoningSpatial ReasoningDocument AIMonkeyOCRv2: A Visual-Text Foundation Model for Document AI
Mainstream visual encoders are pretrained on natural images and cannot be effectively applied to document images without document-oriented adaptation, as dense text and fine-grained character strokes demand character-lev…
Text GenerationText DetectionDocument AICross-Temporal Sinhala OCR: Page-Level Adaptation and Diachronic Analysis
Sinhala is a morphologically rich abugida spoken by roughly 16 million people in Sri Lanka, and to date, there are no publicly available real-world datasets for page-level Sinhala OCR. All previous studies for assessing …
Document AIOperationalizing Document AI: A Microservice Architecture for OCR and LLM Pipelines in Production
Academic research tends to focus on new models for document understanding creating a wide gap in the literature between model definition and running models at production scale. To close that gap, we present a microservic…
Document AIAutomated Population-Level Audit Assurance via AI-Based Document Intelligence
Audit transaction testing validates accuracy and completeness of customer-facing statements against internal systems of record. Traditional manual, sample-based review of unstructured PDF statements is labor-intensive an…
Document AIBenchmarking Complex Multimodal Document Processing Pipelines: A Unified Evaluation Framework for Enterprise AI
Most enterprise document AI today is a pipeline. Parse, index, retrieve, generate. Each of those stages has been studied to death on its own -- what's still hard is evaluating the system as a whole. We built EnterpriseDo…
Document AIRevise: A Framework for Revising OCRed text in Practical Information Systems with Data Contamination Strategy
Recent advances in Large Language Models (LLMs) have significantly improved the field of Document AI, demonstrating remarkable performance on document understanding tasks such as question answering. However, existing app…
Synthetic Data GenerationQuestion AnsweringDocument AISiPaKosa: A Comprehensive Corpus of Canonical and Classical Buddhist Texts in Sinhala and Pali
SiPaKosa is a comprehensive corpus of Sinhala and Pali doctrinal texts comprising approximately 786K sentences and 9.25M words, incorporating 16 copyright-cleared historical Buddhist documents alongside the complete web-…
Information RetrievalDocument AISiDiaC-v.2.0: Sinhala Diachronic Corpus Version 2.0
SiDiaC-v.2.0 is the largest comprehensive Sinhala Diachronic Corpus to date, covering a period from 1800 CE to 1955 CE in terms of publication dates, and a historical span from the 5th to the 20th century CE in terms of …
Document AISinhaLegal: A Benchmark Corpus for Information Extraction and Analysis in Sinhala Legislative Texts
SinhaLegal introduces a Sinhala legislative text corpus containing approximately 2 million words across 1,206 legal documents. The dataset includes two types of legal documents: 1,065 Acts dated from 1981 to 2014 and 141…
Information ExtractionDocument AIFrom Chaos to Clarity: Schema-Constrained AI for Auditable Biomedical Evidence Extraction from Full-Text PDFs
Biomedical evidence synthesis relies on accurate extraction of methodological, laboratory, and outcome variables from full-text research articles, yet these variables are embedded in complex scientific PDFs that make man…
Document AIKH-FUNSD: A Hierarchical and Fine-Grained Layout Analysis Dataset for Low-Resource Khmer Business Document
Automated document layout analysis remains a major challenge for low-resource, non-Latin scripts. Khmer is a language spoken daily by over 17 million people in Cambodia, receiving little attention in the development of d…
Document Layout AnalysisInformation ExtractionDocument AIARIAL: An Agentic Framework for Document VQA with Precise Answer Localization
Document Visual Question Answering (VQA) requires models to not only extract accurate textual answers but also precisely localize them within document images, a capability critical for interpretability in high-stakes app…
Visual Question AnsweringAnswer GenerationDocument AILocal Hybrid Retrieval-Augmented Document QA
Organizations handling sensitive documents face a critical dilemma: adopt cloud-based AI systems that offer powerful question-answering capabilities but compromise data privacy, or maintain local processing that ensures …
Document AIOmniDocLayout: Towards Diverse Document Layout Generation via Coarse-to-Fine LLM Learning
Document AI has advanced rapidly and is attracting increasing attention. Yet, while most efforts have focused on document layout analysis (DLA), its generative counterpart, layout generation, remains underexplored. Disti…
Document Layout AnalysisDocument AIScaling Beyond Context: A Survey of Multimodal Retrieval-Augmented Generation for Document Understanding
Document understanding is critical for applications from financial analysis to scientific discovery. Current approaches, whether OCR-based pipelines feeding Large Language Models (LLMs) or native Multimodal LLMs (MLLMs),…
Document AIDocument Intelligence in the Era of Large Language Models: A Survey
Document AI (DAI) has emerged as a vital application area, and is significantly transformed by the advent of large language models (LLMs). While earlier approaches relied on encoder-decoder architectures, decoder-only LL…
Document AISiDiaC: Sinhala Diachronic Corpus
SiDiaC, the first comprehensive Sinhala Diachronic Corpus, covers a historical span from the 5th to the 20th century CE. SiDiaC comprises 58k words across 46 literary works, annotated carefully based on the written date,…
Document AIZero-shot OCR Accuracy of Low-Resourced Languages: A Comparative Analysis on Sinhala and Tamil
Solving the problem of Optical Character Recognition (OCR) on printed text for Latin and its derivative scripts can now be considered settled due to the volumes of research done on English and other High-Resourced Langua…
Document AIInfinity Parser: Layout Aware Reinforcement Learning for Scanned Document Parsing
Automated parsing of scanned documents into richly structured, machine-readable formats remains a critical bottleneck in Document AI, as traditional multi-stage pipelines suffer from error propagation and limited adaptab…
Document AIdocument understandingLanguage ModelingLanguage Modelling+4