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Multimodal agents can now continually improve their tool use and planning without parameter updates, thanks to a new framework that learns from both action-level experiences and task-level skills.
Even the best multimodal agents struggle with realistic visual scenarios, achieving only 27% accuracy on the new AgentVista benchmark that demands long-horizon tool use across web search, image search, and code.
