Enhancing Visual-Language Models with Synthetic Data

The author proposes a novel approach to improve Visual-Language Models by leveraging synthetic data, demonstrating significant performance gains and data efficiency. The core thesis is the effectiveness of synthetic image-text pairs in enhancing VLM training.