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College of Computer Science and Artificial Intelligence, Fudan University, Shanghai, China
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Forget user-provided forget sets: MAGE lets you unlearn LLM memorization with just a lightweight "anchor," achieving performance on par with corpus-dependent methods.
Achieve near-perfect robot grasping (87% success) by giving robots a "second look" – a closed-loop system that compares pre- and post-action states and uses text feedback to correct errors.
Unlock the power of cutting-edge photon-counting CT imaging on your existing routine chest CT scans, boosting lesion detection by 10-15%.
