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Existing unlearnable examples crumble under low-pass filtering, but FUSE ensures robust protection across the entire frequency spectrum.
Transforming the KV cache from a monolithic structure into a dynamic, head-aware system could revolutionize LLM serving efficiency and scalability.
Geometry dictates model performance in relational learning, with rankings shifting dramatically across curvature regimes, challenging the reliability of standard evaluation practices.
LLM agent performance hinges as much on the agent architecture's synergy with the model as on the model's intrinsic capabilities, challenging the assumption that bigger models automatically translate to better agents.
A 40-point mIoU gap between supervised methods and zero-shot segmentation on Industrial3D reveals that foundation models are nowhere near ready for real-world industrial Scan-to-BIM workflows.
