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Nanjing University
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Achieving a 1.85x speedup in matrix multiplication on Ascend NPUs could redefine performance benchmarks for dynamic tensor operations.
Proxy models can slash RL post-training costs by up to 87.5% while maintaining critical fault reproduction capabilities.
Combodied Agents redefine AI by shifting focus from task completion to fostering sustained human well-being through adaptive, user-centered support.
MISA-T boosts rollout throughput by over 53% while preserving workload integrity, revolutionizing how RL pipelines manage heterogeneous demands.
TIDE-MC achieves unprecedented efficiency in matrix completion, handling billion-scale datasets without running out of memory while delivering up to 11,647x speedup.
Decoupling the "Thinker" from the "Editor" in image editing allows targeted optimization of reasoning, leading to performance competitive with strong proprietary models using a fixed generative model.
