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Zhejiang University
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LLM search agents can be easily manipulated, with endorsement corruption rates varying dramatically across different models, raising serious concerns about their reliability.
Local pattern memory boosts molecular language model performance, outperforming larger models by leveraging efficient context integration.
AnchorWorld's innovative use of 3D human motion and exogenous viewpoints enables a new level of interaction fidelity in egocentric simulations, setting a new benchmark in the field.
MATE achieves a 4.75% boost in robotic manipulation success rates under data scarcity by leveraging specialized expert routing across heterogeneous inputs.
Interactive video world models can be sped up by 2.5x without retraining, simply by being smarter about how they use context and computation based on the user's actions.
