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V-Gym: Enhancing Agentic Visual Reasoning via Skill-Data Co-Evolution
Advances in multimodal understanding, reasoning, and tool use enable agents to tackle increasingly complex visual reasoning tasks. By distilling past execution experience into reusable skills, agents can transfer lessons from both successes and failures into future reasoning, reducing repeated error
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