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Agentic manipulation in VLMs leads to a consistent 8% performance boost over perception-only methods in cluttered environments, demonstrating the critical role of physical interaction in visual question answering.
LLM agents can now automatically reconstruct and verify control systems simulations from research papers, achieving a 10x speedup over manual replication.
