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Tang

Shengkun

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upvoted a paper about 17 hours ago

SlimQwen: Exploring the Pruning and Distillation in Large MoE Model Pre-training

submitted a paper about 17 hours ago

SlimQwen: Exploring the Pruning and Distillation in Large MoE Model Pre-training

upvoted a paper 3 months ago

Canzona: A Unified, Asynchronous, and Load-Balanced Framework for Distributed Matrix-based Optimizers

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submitted a paper to Daily Papers about 17 hours ago

SlimQwen: Exploring the Pruning and Distillation in Large MoE Model Pre-training

Paper • 2605.08738 • Published 4 days ago • 7

authored 2 papers about 1 year ago

DeeDiff: Dynamic Uncertainty-Aware Early Exiting for Accelerating Diffusion Model Generation

Paper • 2309.17074 • Published Sep 29, 2023

DarwinLM: Evolutionary Structured Pruning of Large Language Models

Paper • 2502.07780 • Published Feb 11, 2025 • 18

authored a paper over 2 years ago

You Need Multiple Exiting: Dynamic Early Exiting for Accelerating Unified Vision Language Model

Paper • 2211.11152 • Published Nov 21, 2022