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Visual agents consistently falter at detecting procedural errors, but a new framework shows how to enhance their comprehension capabilities dramatically.
Existing MLLMs struggle with procedural reasoning, but a new self-skill-exploration agent achieves state-of-the-art performance by discovering effective strategies for everyday tasks.
