Pangu Pro MoE: Mixture of Grouped Experts for Efficient Sparsity
Fuente:
arXiv
Saved in:
| Main Authors: | Tang, Yehui, Li, Xiaosong, Liu, Fangcheng, Guo, Wei, Zhou, Hang, Wang, Yaoyuan, Han, Kai, Yu, Xianzhi, Li, Jinpeng, Zang, Hui, Mi, Fei, Meng, Xiaojun, Liu, Zhicheng, Chen, Hanting, Zheng, Binfan, Chen, Can, Yan, Youliang, Tang, Ruiming, Qin, Peifeng, Chen, Xinghao, Tao, Dacheng, Wang, Yunhe |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Pangu Light: Weight Re-Initialization for Pruning and Accelerating LLMs
by: Chen, Hanting, et al.
Published: (2025)
by: Chen, Hanting, et al.
Published: (2025)
Pangu Ultra MoE: How to Train Your Big MoE on Ascend NPUs
by: Tang, Yehui, et al.
Published: (2025)
by: Tang, Yehui, et al.
Published: (2025)
EAQuant: Enhancing Post-Training Quantization for MoE Models via Expert-Aware Optimization
by: Fu, Zhongqian, et al.
Published: (2025)
by: Fu, Zhongqian, et al.
Published: (2025)
Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition
by: Chen, Hanting, et al.
Published: (2025)
by: Chen, Hanting, et al.
Published: (2025)
SlimLLM: Accurate Structured Pruning for Large Language Models
by: Guo, Jialong, et al.
Published: (2025)
by: Guo, Jialong, et al.
Published: (2025)
SLAB: Efficient Transformers with Simplified Linear Attention and Progressive Re-parameterized Batch Normalization
by: Guo, Jialong, et al.
Published: (2024)
by: Guo, Jialong, et al.
Published: (2024)
No Time to Waste: Squeeze Time into Channel for Mobile Video Understanding
by: Zhai, Yingjie, et al.
Published: (2024)
by: Zhai, Yingjie, et al.
Published: (2024)
ExCP: Extreme LLM Checkpoint Compression via Weight-Momentum Joint Shrinking
by: Li, Wenshuo, et al.
Published: (2024)
by: Li, Wenshuo, et al.
Published: (2024)
Context-Guided Spatial Feature Reconstruction for Efficient Semantic Segmentation
by: Ni, Zhenliang, et al.
Published: (2024)
by: Ni, Zhenliang, et al.
Published: (2024)
DLLM Agent: See Farther, Run Faster
by: Zhen, Huiling, et al.
Published: (2026)
by: Zhen, Huiling, et al.
Published: (2026)
ROOT: Robust Orthogonalized Optimizer for Neural Network Training
by: He, Wei, et al.
Published: (2025)
by: He, Wei, et al.
Published: (2025)
Kangaroo: Lossless Self-Speculative Decoding via Double Early Exiting
by: Liu, Fangcheng, et al.
Published: (2024)
by: Liu, Fangcheng, et al.
Published: (2024)
Pangu Ultra: Pushing the Limits of Dense Large Language Models on Ascend NPUs
by: Yin, Yichun, et al.
Published: (2025)
by: Yin, Yichun, et al.
Published: (2025)
TinySAM: Pushing the Envelope for Efficient Segment Anything Model
by: Shu, Han, et al.
Published: (2023)
by: Shu, Han, et al.
Published: (2023)
PanGu-$π$ Pro:Rethinking Optimization and Architecture for Tiny Language Models
by: Tang, Yehui, et al.
Published: (2024)
by: Tang, Yehui, et al.
Published: (2024)
DiJiang: Efficient Large Language Models through Compact Kernelization
by: Chen, Hanting, et al.
Published: (2024)
by: Chen, Hanting, et al.
Published: (2024)
Multi-Granularity Semantic Revision for Large Language Model Distillation
by: Liu, Xiaoyu, et al.
Published: (2024)
by: Liu, Xiaoyu, et al.
Published: (2024)
Nexus: Higher-Order Attention Mechanisms in Transformers
by: Chen, Hanting, et al.
Published: (2025)
by: Chen, Hanting, et al.
Published: (2025)
GenVidBench: A 6-Million Benchmark for AI-Generated Video Detection
by: Ni, Zhenliang, et al.
Published: (2025)
by: Ni, Zhenliang, et al.
Published: (2025)
PanGu-$π$: Enhancing Language Model Architectures via Nonlinearity Compensation
by: Wang, Yunhe, et al.
Published: (2023)
by: Wang, Yunhe, et al.
Published: (2023)
CBQ: Cross-Block Quantization for Large Language Models
by: Ding, Xin, et al.
Published: (2023)
by: Ding, Xin, et al.
Published: (2023)
Sparsity is Combinatorial Depth: Quantifying MoE Expressivity via Tropical Geometry
by: Su, Ye, et al.
Published: (2026)
by: Su, Ye, et al.
Published: (2026)
GhostNetV3: Exploring the Training Strategies for Compact Models
by: Liu, Zhenhua, et al.
Published: (2024)
by: Liu, Zhenhua, et al.
Published: (2024)
Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning
by: Bi, Zhenni, et al.
Published: (2024)
by: Bi, Zhenni, et al.
Published: (2024)
EMS-SD: Efficient Multi-sample Speculative Decoding for Accelerating Large Language Models
by: Ni, Yunsheng, et al.
Published: (2024)
by: Ni, Yunsheng, et al.
Published: (2024)
A Survey on Transformer Compression
by: Tang, Yehui, et al.
Published: (2024)
by: Tang, Yehui, et al.
Published: (2024)
LLM Data Selection and Utilization via Dynamic Bi-level Optimization
by: Yu, Yang, et al.
Published: (2025)
by: Yu, Yang, et al.
Published: (2025)
DECO: Unleashing the Potential of ConvNets for Query-based Detection and Segmentation
by: Chen, Xinghao, et al.
Published: (2023)
by: Chen, Xinghao, et al.
Published: (2023)
PanguMotion: Continuous Driving Motion Forecasting with Pangu Transformers
by: Ren, Quanhao, et al.
Published: (2026)
by: Ren, Quanhao, et al.
Published: (2026)
LocMoE: A Low-Overhead MoE for Large Language Model Training
by: Li, Jing, et al.
Published: (2024)
by: Li, Jing, et al.
Published: (2024)
Expert-Token Resonance MoE: Bidirectional Routing with Efficiency Affinity-Driven Active Selection
by: Li, Jing, et al.
Published: (2024)
by: Li, Jing, et al.
Published: (2024)
AgentCollab: A Self-Evaluation-Driven Collaboration Paradigm for Efficient LLM Agents
by: Gao, Wenbo, et al.
Published: (2026)
by: Gao, Wenbo, et al.
Published: (2026)
Revealing the Power of Post-Training for Small Language Models via Knowledge Distillation
by: Rang, Miao, et al.
Published: (2025)
by: Rang, Miao, et al.
Published: (2025)
Near-Policy: Accelerating On-Policy Distillation via Asynchronous Generation and Selective Packing
by: Rang, Miao, et al.
Published: (2026)
by: Rang, Miao, et al.
Published: (2026)
Unshackling Context Length: An Efficient Selective Attention Approach through Query-Key Compression
by: Wang, Haoyu, et al.
Published: (2025)
by: Wang, Haoyu, et al.
Published: (2025)
MaskPro: Linear-Space Probabilistic Learning for Strict (N:M)-Sparsity on LLMs
by: Sun, Yan, et al.
Published: (2025)
by: Sun, Yan, et al.
Published: (2025)
Eve: Efficient Multimodal Vision Language Models with Elastic Visual Experts
by: Rang, Miao, et al.
Published: (2025)
by: Rang, Miao, et al.
Published: (2025)
From Sequential to Spatial: Reordering Autoregression for Efficient Visual Generation
by: Wang, Siyang, et al.
Published: (2025)
by: Wang, Siyang, et al.
Published: (2025)
Towards Efficient Agents: A Co-Design of Inference Architecture and System
by: Lin, Weizhe, et al.
Published: (2025)
by: Lin, Weizhe, et al.
Published: (2025)
LSH-MoE: Communication-efficient MoE Training via Locality-Sensitive Hashing
by: Nie, Xiaonan, et al.
Published: (2024)
by: Nie, Xiaonan, et al.
Published: (2024)
Similar Items
-
Pangu Light: Weight Re-Initialization for Pruning and Accelerating LLMs
by: Chen, Hanting, et al.
Published: (2025) -
Pangu Ultra MoE: How to Train Your Big MoE on Ascend NPUs
by: Tang, Yehui, et al.
Published: (2025) -
EAQuant: Enhancing Post-Training Quantization for MoE Models via Expert-Aware Optimization
by: Fu, Zhongqian, et al.
Published: (2025) -
Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition
by: Chen, Hanting, et al.
Published: (2025) -
SlimLLM: Accurate Structured Pruning for Large Language Models
by: Guo, Jialong, et al.
Published: (2025)