{"total":14,"rows":[{"id":"2311.00308","title":"From Image to Language: A Critical Analysis of Visual Question Answering (VQA) Approaches, Challenges, and Opportunities","created":"2023-11-01","cited_by_count":25,"area":null},{"id":"2408.01287","title":"Deep Learning based Visually Rich Document Content Understanding: A Survey","created":"2024-08-02","cited_by_count":21,"area":null},{"id":"2511.20648","title":"LocateAnything3D: Vision-Language 3D Detection with Chain-of-Sight","created":"2025-11-25","cited_by_count":8,"area":null},{"id":"2404.12720","title":"PDF-MVQA: A Dataset for Multimodal Information Retrieval in PDF-based Visual Question Answering","created":"2024-04-19","cited_by_count":7,"area":null},{"id":"2310.06436","title":"MemSum-DQA: Adapting An Efficient Long Document Extractive Summarizer for Document Question Answering","created":"2023-10-10","cited_by_count":1,"area":null},{"id":"2409.00447","title":"The MERIT Dataset: Modelling and Efficiently Rendering Interpretable Transcripts","created":"2024-08-31","cited_by_count":1,"area":null},{"id":"2502.19202","title":"LiGT: Layout-infused Generative Transformer for Visual Question Answering on Vietnamese Receipts","created":"2025-02-26","cited_by_count":1,"area":null},{"id":"2511.17881","title":"MGA-VQA: Secure and Interpretable Graph-Augmented Visual Question Answering with Memory-Guided Protection Against Unauthorized Knowledge Use","created":"2025-11-22","cited_by_count":1,"area":null},{"id":"2307.16369","title":"Workshop on Document Intelligence Understanding","created":"2023-07-31","cited_by_count":0,"area":null},{"id":"2310.07091","title":"Jaeger: A Concatenation-Based Multi-Transformer VQA Model","created":"2023-10-11","cited_by_count":0,"area":null},{"id":"2310.09432","title":"Enhancing BERT-Based Visual Question Answering through Keyword-Driven Sentence Selection","created":"2023-10-13","cited_by_count":0,"area":null},{"id":"2509.23273","title":"SynDoc: A Hybrid Discriminative-Generative Framework for Enhancing Synthetic Domain-Adaptive Document Key Information Extraction","created":"2025-09-27","cited_by_count":0,"area":null},{"id":"2603.26772","title":"From Content to Audience: A Multimodal Annotation Framework for Broadcast Television Analytics","created":"2026-03-24","cited_by_count":0,"area":null},{"id":"2603.29211","title":"Xuanwu: Evolving General Multimodal Models into an Industrial-Grade Foundation for Content Ecosystems","created":"2026-03-31","cited_by_count":0,"area":null}],"next_cursor":null}