PP Chart2Table Introduction PP Chart2Table is a SOTA multimodal model developed by the PaddlePaddle team, specializing in chart parsing for both Chinese and English. Its high performance is driven by a novel "Shuffled Chart Data Retrieval" training task, which, combined with a refined token masking strategy, significantly improves its efficiency in converting charts to data tables. The model is further strengthened by an advanced data synthesis pipeline that uses high quality seed data, RAG, and LLMs persona design to create a richer, more diverse training set. To address the challenge of large scale unlabeled, out of distribution (OOD) data, the team implemented a two stage distillation process, ensuring robust adaptability and generalization on real world data. In house benchmarks demonstrate that PP Chart2Table not only outperforms models of a similar scale but also achieves performance on par with 7 billion parameter Vision Language Models (VLMs) in critical application scenarios. Quick Start Installation 1. PaddlePaddle Please refer to the following commands to install PaddlePaddle using pip: For details about PaddlePaddle installation, please refer to the PaddlePaddle officia…
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