Document annotation is a fundamental yet labor-intensive step in building document information extraction systems. The arXiv preprint "GAIDA: Generative AI for Human-in-the-Loop Document Annotation" addresses this bottleneck, proposing a system that integrates generative AI into the annotation workflow.
The abstract notes that OCR and large language models can automate parts of the process, but the description cuts off before detailing how GAIDA builds on them. Based on the title, the system appears to keep a human in the loop, likely to oversee or correct AI-generated annotations.
Because this is an arXiv preprint, the work has not yet undergone peer review. The available abstract offers limited detail, so the specific methods, evaluation, and results are not described in the source text.