New Test Shows AI Models Fail At Half Of Complex Visual Tasks
New MOAT benchmark evaluates Large Multimodal Models (LMMs) on complex tasks requiring multiple capabilities, finding strong correlation between model performance and parameter count. Current LMMs struggle with integrating skills in single tasks.
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 correlati...