Document Analysis and Recognition - ICDAR 2025 Workshops

.- The Fifth ICDAR International Workshop on Machine Learning (WML 2025)
.- PBa-LLM: Privacy- and Bias-aware NLP using Named-Entity Recognition (NER).
.- Benchmarking Graph Neural Networks for Document Layout Analysis in Public Affairs.
.- Improving Handwritten Text Recognition via 3D Attention and Multi-Scale Training.
.- Masked Self-Supervised Pre-Training for Text Recognition Transformers on Large-Scale Datasets.
.- Text Prompt to Image Generation for Classification of Similar and Non-Similar Scene Images to Improve Text Spotting Performance.
.- Enhancing Document VQA Models via Retrieval-Augmented Generation.
.- A New Multimodal Cross-Domain Network for Classifi-cation of Challenging Scene Images.
.- TextBite: A Historical Czech Document Dataset for Logical Page Segmentation.
.- Few-Part-Shot Font Generation.
.- Non-Linear Audio-Visual Storytelling from Scanned Comics: A Character-Centric Approach.
.- Automatic Text Box Placement for Supporting Typographic Design.
.- Visual Document Matching for Zero-Shot Document Classification.
.- Evaluating Popular Scene Text Detection and Recognition Methods on Tombstones.
.- Deep learning for defect detection in answer document image.
.- ResNet-TPP: A Parallel PHOC-PHOS Framework for Zero-Shot Handwritten Word Recognition in Low-Resource Scripts.
.- Interpret, prune and distill Donut :towards lightweight VLMs for VQA on documents.
.- Link prediction Graph Neural Networks for structure recognition of Handwritten Mathematical Expressions.
.- Rule-Based Reinforcement Learning for Document Image Classification with Vision Language Models.
.- ICDAR 2025 Workshop on Multi-Modal Mathematical Reasoning in Documents (M3RD 2025).
.- Boosting Handwritten Mathematical Expression Recognition through Contextual Reasoning with Vision Large Language Models (vLLMs).
.- SCANS: An efficient Geometric Problem Solver with Content-Aware Attention and Adaptive Fusion.
.- GeoGRPO: Investigating the Stepwise-GRPO Enhancement in RLHF Framework.
.- Offline handwritten mathematical formula recognition based on primitive representation.
.- Long Math Reasoning Problem Generation.