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Found 2 papers, 1 papers with code
Toward Inference-optimal Mixture-of-Expert Large Language Models
Like dense models, training MoEs requires answering the same question: given a training budget, what is the optimal allocation on the model size and number of tokens?
Occ3D: A Large-Scale 3D Occupancy Prediction Benchmark for Autonomous Driving
3D occupancy prediction, which estimates the detailed occupancy states and semantics of a scene, is an emerging task to overcome these limitations.
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