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cs.DC2026
Repair Changes Which Layers to Remove: Exact Optima for Depth Pruning of Language Models
Jianchang Su, Dawei Xiang, Yifan Zhang +1
Depth pruning removes entire transformer layers to make large language models faster, and recent methods recover quality by replacing the removed layers with a training-free linear…
cs.DC2025
ExpertFlow: Adaptive Expert Scheduling and Memory Coordination for Efficient MoE Inference
Zixu Shen, Kexin Chu, Yifan Zhang +3
The expansion of large language models is increasingly limited by the constrained memory capacity of modern GPUs. To mitigate this, Mixture-of-Experts (MoE) architectures activate…