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Renmin University of China
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GraphPO slashes redundancy in reasoning model training, enabling more efficient exploration and improved performance on complex tasks.
Aligning embodiment structures within a shared grasp generator boosts performance and transferability across diverse end effectors, challenging conventional design approaches.
MemVenom reveals that web agents can be compromised with up to 99.15% success through sophisticated memory poisoning attacks that bypass traditional defenses.
The new REO framework reveals that the true challenge in differential equation discovery lies not just in recovering equations, but in leveraging them to reshape scientific understanding.
Transforming any 2D representation into a symmetric form without losing continuity could revolutionize design processes across various fields.
Solving Poisson equations just got faster and more stable: NPSolver trains neural operators without solution labels by iteratively refining predictions with preconditioned conjugate gradient steps.
