Unveiling Super Experts in Mixture-of-Experts Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Su, Zunhai, Li, Qingyuan, Zhang, Hao, Ye, Weihao, Xue, Qibo, Qian, YuLei, Xie, Yuchen, Wong, Ngai, Yuan, Kehong |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
KVSink: Understanding and Enhancing the Preservation of Attention Sinks in KV Cache Quantization for LLMs
by: Su, Zunhai, et al.
Published: (2025)
by: Su, Zunhai, et al.
Published: (2025)
AKVQ-VL: Attention-Aware KV Cache Adaptive 2-Bit Quantization for Vision-Language Models
by: Su, Zunhai, et al.
Published: (2025)
by: Su, Zunhai, et al.
Published: (2025)
Mixture of Neuron Experts
by: Cheng, Runxi, et al.
Published: (2025)
by: Cheng, Runxi, et al.
Published: (2025)
CktFormalizer: Autoformalization of Natural Language into Circuit Representations
by: Xiong, Jing, et al.
Published: (2026)
by: Xiong, Jing, et al.
Published: (2026)
MoELoRA: Contrastive Learning Guided Mixture of Experts on Parameter-Efficient Fine-Tuning for Large Language Models
by: Luo, Tongxu, et al.
Published: (2024)
by: Luo, Tongxu, et al.
Published: (2024)
Cluster-Driven Expert Pruning for Mixture-of-Experts Large Language Models
by: Guo, Hongcheng, et al.
Published: (2025)
by: Guo, Hongcheng, et al.
Published: (2025)
RotateKV: Accurate and Robust 2-Bit KV Cache Quantization for LLMs via Outlier-Aware Adaptive Rotations
by: Su, Zunhai, et al.
Published: (2025)
by: Su, Zunhai, et al.
Published: (2025)
SciDFM: A Large Language Model with Mixture-of-Experts for Science
by: Sun, Liangtai, et al.
Published: (2024)
by: Sun, Liangtai, et al.
Published: (2024)
Bayesian Mixture of Experts For Large Language Models
by: Dialameh, Maryam, et al.
Published: (2025)
by: Dialameh, Maryam, et al.
Published: (2025)
EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models
by: Jing, Linglin, et al.
Published: (2025)
by: Jing, Linglin, et al.
Published: (2025)
Pre-Attention Expert Prediction and Prefetching for Mixture-of-Experts Large Language Models
by: Zhu, Shien, et al.
Published: (2025)
by: Zhu, Shien, et al.
Published: (2025)
Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models
by: Lu, Xudong, et al.
Published: (2024)
by: Lu, Xudong, et al.
Published: (2024)
Upcycling Large Language Models into Mixture of Experts
by: He, Ethan, et al.
Published: (2024)
by: He, Ethan, et al.
Published: (2024)
Probing Semantic Routing in Large Mixture-of-Expert Models
by: Olson, Matthew Lyle, et al.
Published: (2025)
by: Olson, Matthew Lyle, et al.
Published: (2025)
MoDES: Accelerating Mixture-of-Experts Multimodal Large Language Models via Dynamic Expert Skipping
by: Huang, Yushi, et al.
Published: (2025)
by: Huang, Yushi, et al.
Published: (2025)
MoE-LPR: Multilingual Extension of Large Language Models through Mixture-of-Experts with Language Priors Routing
by: Zhou, Hao, et al.
Published: (2024)
by: Zhou, Hao, et al.
Published: (2024)
A Survey on Mixture of Experts in Large Language Models
by: Cai, Weilin, et al.
Published: (2024)
by: Cai, Weilin, et al.
Published: (2024)
DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts
by: Feng, Yuchen, et al.
Published: (2025)
by: Feng, Yuchen, et al.
Published: (2025)
DoPE: Denoising Rotary Position Embedding
by: Xiong, Jing, et al.
Published: (2025)
by: Xiong, Jing, et al.
Published: (2025)
DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models
by: Dai, Damai, et al.
Published: (2024)
by: Dai, Damai, et al.
Published: (2024)
Training Matryoshka Mixture-of-Experts for Elastic Inference-Time Expert Utilization
by: Wang, Yaoxiang, et al.
Published: (2025)
by: Wang, Yaoxiang, et al.
Published: (2025)
Mixtures of SubExperts for Large Language Continual Learning
by: Kang, Haeyong
Published: (2025)
by: Kang, Haeyong
Published: (2025)
ReXMoE: Reusing Experts with Minimal Overhead in Mixture-of-Experts
by: Tan, Zheyue, et al.
Published: (2025)
by: Tan, Zheyue, et al.
Published: (2025)
Binary-Integer-Programming Based Algorithm for Expert Load Balancing in Mixture-of-Experts Models
by: Sun, Yuan
Published: (2025)
by: Sun, Yuan
Published: (2025)
MoE-Pruner: Pruning Mixture-of-Experts Large Language Model using the Hints from Its Router
by: Xie, Yanyue, et al.
Published: (2024)
by: Xie, Yanyue, et al.
Published: (2024)
A Closer Look into Mixture-of-Experts in Large Language Models
by: Lo, Ka Man, et al.
Published: (2024)
by: Lo, Ka Man, et al.
Published: (2024)
Diversifying the Expert Knowledge for Task-Agnostic Pruning in Sparse Mixture-of-Experts
by: Zhang, Zeliang, et al.
Published: (2024)
by: Zhang, Zeliang, et al.
Published: (2024)
Rewiring Experts on the Fly:Continuous Rerouting for Better Online Adaptation in Mixture-of-Expert models
by: Su, Guinan, et al.
Published: (2025)
by: Su, Guinan, et al.
Published: (2025)
The Expert Strikes Back: Interpreting Mixture-of-Experts Language Models at Expert Level
by: Herbst, Jeremy, et al.
Published: (2026)
by: Herbst, Jeremy, et al.
Published: (2026)
MultiPL-MoE: Multi-Programming-Lingual Extension of Large Language Models through Hybrid Mixture-of-Experts
by: Wang, Qing, et al.
Published: (2025)
by: Wang, Qing, et al.
Published: (2025)
HMoE: Heterogeneous Mixture of Experts for Language Modeling
by: Wang, An, et al.
Published: (2024)
by: Wang, An, et al.
Published: (2024)
When Are Experts Misrouted? Counterfactual Routing Analysis in Mixture-of-Experts Language Models
by: Yoon, Youngsik, et al.
Published: (2026)
by: Yoon, Youngsik, et al.
Published: (2026)
Chatlaw: A Multi-Agent Collaborative Legal Assistant with Knowledge Graph Enhanced Mixture-of-Experts Large Language Model
by: Cui, Jiaxi, et al.
Published: (2023)
by: Cui, Jiaxi, et al.
Published: (2023)
Mixture of Lookup Experts
by: Jie, Shibo, et al.
Published: (2025)
by: Jie, Shibo, et al.
Published: (2025)
MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts
by: Li, Dengchun, et al.
Published: (2024)
by: Li, Dengchun, et al.
Published: (2024)
FLAME-MoE: A Transparent End-to-End Research Platform for Mixture-of-Experts Language Models
by: Kang, Hao, et al.
Published: (2025)
by: Kang, Hao, et al.
Published: (2025)
GatePro: Parameter-Free Expert Selection Optimization for Mixture-of-Experts Models
by: Zheng, Chen, et al.
Published: (2025)
by: Zheng, Chen, et al.
Published: (2025)
Diversifying the Mixture-of-Experts Representation for Language Models with Orthogonal Optimizer
by: Liu, Boan, et al.
Published: (2023)
by: Liu, Boan, et al.
Published: (2023)
MMBERT: Scaled Mixture-of-Experts Multimodal BERT for Robust Chinese Hate Speech Detection under Cloaking Perturbations
by: Xue, Qiyao, et al.
Published: (2025)
by: Xue, Qiyao, et al.
Published: (2025)
ToMoE: Converting Dense Large Language Models to Mixture-of-Experts through Dynamic Structural Pruning
by: Gao, Shangqian, et al.
Published: (2025)
by: Gao, Shangqian, et al.
Published: (2025)
Similar Items
-
KVSink: Understanding and Enhancing the Preservation of Attention Sinks in KV Cache Quantization for LLMs
by: Su, Zunhai, et al.
Published: (2025) -
AKVQ-VL: Attention-Aware KV Cache Adaptive 2-Bit Quantization for Vision-Language Models
by: Su, Zunhai, et al.
Published: (2025) -
Mixture of Neuron Experts
by: Cheng, Runxi, et al.
Published: (2025) -
CktFormalizer: Autoformalization of Natural Language into Circuit Representations
by: Xiong, Jing, et al.
Published: (2026) -
MoELoRA: Contrastive Learning Guided Mixture of Experts on Parameter-Efficient Fine-Tuning for Large Language Models
by: Luo, Tongxu, et al.
Published: (2024)