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Shanghai Jiao Tong University
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Achieving up to 17脳 faster inference for long-context LLMs without compromising output quality could redefine efficiency standards in AI applications.
Achieving up to 10x faster rendering speeds, CaT-GS redefines efficiency in 3D Gaussian Splatting for large-scale scenes.
Decoupling temporal and spatial reasoning in video grounding unlocks significant performance gains, outperforming existing MLLM-based methods by a large margin.
