Two Papers accepted at ICDAR 2026

extraction from historical WWII care and maintenance application forms. Building on prior work on the CM/1 dataset, the paper studies vision-language models such as PaliGemma and Donut under severe annotation scarcity, including settings with only 1% of available labels. The work explores cross-field pre-training and synthetic document generation as strategies for low-data learning, and introduces CM/1v2, an extended dataset with additional annotated fields including nationality, place of birth, and …