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School of Traffic & Transportation Engineering, Central South University, Changsha 410000, China
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Time-to-collision metrics miss critical collision risk information, but a new 2D acceleration-based metric anticipates collisions far better.
Multimodal models can "see" the image but still fail at reasoning because the visual input distracts the routing mechanism from activating the right experts.
Achieve global-optimal GEMM mapping for spatial accelerators orders of magnitude faster than existing methods by analytically modeling the mapping space geometrically.
