SEED-Bench-2-Plus: An Extensive Benchmark Specifically Designed for Evaluating Multimodal Large Language Models (MLLMs) in Text-Rich Scenarios

Evaluating Multimodal Large Language Models (MLLMs) in text-rich scenarios is crucial, given their increasing versatility. However, current benchmarks mainly assess general visual comprehension, overlooking the nuanced challenges of text-rich content. MLLMs like GPT-4V, Gemini-Pro-Vision, and Claude-3-Opus showcase impressive capabilities but lack comprehensive evaluation in text-rich contexts. Understanding text within images requires interpreting textual and visual […]

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ai paper summary ai shorts applications artificial intelligence benchmark benchmarks capabilities challenges claude computer vision current editors pick evaluation gemini general gpt gpt-4v however language language models large language large language models mllms multimodal opus seed staff tech news technology text vision visual