Event
VLM-as-a-Judge Method for Synthetic Data Generation Pipeline
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A report describes a pipeline that uses a "VLM-as-a-Judge" method to generate synthetic data for building visual question answering (VQA) datasets. The report states that the most naive approach is to use a multimodal model to generate and store one answer for each image and each question, whereas this pipeline uses the VLM-as-a-Judge method for synthetic data generation. The report does not provide the pipeline's specific implementation, performance data, or applicable conditions.
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- A pipeline for synthetic data generation using the VLM-as-judge method
When building a visual question answering (VQA) dataset, the most naive approach is to use a multimodal model to generate and store one answer for each image and each question. This pipeline uses the VLM-as-judge method for synthetic data generation.
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