This is a Plain English Papers summary of a research paper called New Test Shows Even Best AI Models Fail at Half of Complex Visual Tasks. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.
Overview
- MOAT is a new benchmark for evaluating Large Multimodal Models (LMMs)
- Focuses on both capability integration and instruction grounding
- Evaluates how models combine multiple skills within a single task
- Tests 12 models including GPT-4V, Claude, Gemini, and others
- Current LMMs struggle with complex tasks requiring multiple capabilities
- Strong correlation found between model performance and parameter count
Plain English Explanation
Imagine trying to assess how well someone can drive. You wouldn't just test if they know how to steer or brake individually - you'd want to see how they combine these skills in real driving situations with specific instructions. This is exactly what the [MOAT benchmark](https:/...
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