VTCBench: Can Vision-Language Models Understand Long Context with Vision-Text Compression?

The article introduces VTCBench, a benchmark to evaluate Vision-Language Models (VLMs) on their ability to handle long contexts, specifically focusing on the impact of vision-text compression techniques. The research likely explores how well VLMs can process and understand lengthy visual and textual information when compression methods are applied. The source being ArXiv suggests this is a preliminary research paper.