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Visual skills outperform text-only methods, revealing a critical gap in how agents learn and apply knowledge in complex, visual environments.
Soft-gating with an "advisor" model can steer LLMs to be safer and more useful, reducing over-refusal without sacrificing detection accuracy.
VLMs can now get a million-scale boost in chart-understanding abilities thanks to a new dataset with paired code, images, data, and reasoning.
