MixtureKit: A General Framework for Composing, Training, and Visualizing Mixture-of-Experts Models
Fuente:
arXiv
Saved in:
| Main Authors: | Chamma, Ahmad, Herraoui, Omar El, Shang, Guokan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Nile-Chat: Egyptian Language Models for Arabic and Latin Scripts
by: Shang, Guokan, et al.
Published: (2025)
by: Shang, Guokan, et al.
Published: (2025)
Shorter but not Worse: Frugal Reasoning via Easy Samples as Length Regularizers in Math RLVR
by: Bounhar, Abdelaziz, et al.
Published: (2025)
by: Bounhar, Abdelaziz, et al.
Published: (2025)
MC#: Mixture Compressor for Mixture-of-Experts Large Models
by: Huang, Wei, et al.
Published: (2025)
by: Huang, Wei, et al.
Published: (2025)
Efficient Quantization of Mixture-of-Experts with Theoretical Generalization Guarantees
by: Chowdhury, Mohammed Nowaz Rabbani, et al.
Published: (2026)
by: Chowdhury, Mohammed Nowaz Rabbani, et al.
Published: (2026)
Mixture of Experts in a Mixture of RL settings
by: Willi, Timon, et al.
Published: (2024)
by: Willi, Timon, et al.
Published: (2024)
Exploring Expert Specialization through Unsupervised Training in Sparse Mixture of Experts
by: Nikolic, Strahinja, et al.
Published: (2025)
by: Nikolic, Strahinja, et al.
Published: (2025)
Dense Backpropagation Improves Training for Sparse Mixture-of-Experts
by: Panda, Ashwinee, et al.
Published: (2025)
by: Panda, Ashwinee, et al.
Published: (2025)
Mixture of Raytraced Experts
by: Perin, Andrea, et al.
Published: (2025)
by: Perin, Andrea, et al.
Published: (2025)
Mixture of Experts in Large Language Models
by: Zhang, Danyang, et al.
Published: (2025)
by: Zhang, Danyang, et al.
Published: (2025)
Robust Heterogeneous Analog-Digital Computing for Mixture-of-Experts Models with Theoretical Generalization Guarantees
by: Chowdhury, Mohammed Nowaz Rabbani, et al.
Published: (2026)
by: Chowdhury, Mohammed Nowaz Rabbani, et al.
Published: (2026)
Mixture of A Million Experts
by: He, Xu Owen
Published: (2024)
by: He, Xu Owen
Published: (2024)
Efficiently Editing Mixture-of-Experts Models with Compressed Experts
by: He, Yifei, et al.
Published: (2025)
by: He, Yifei, et al.
Published: (2025)
Mosaic Pruning: A Hierarchical Framework for Generalizable Pruning of Mixture-of-Experts Models
by: Hu, Wentao, et al.
Published: (2025)
by: Hu, Wentao, et al.
Published: (2025)
Mixture of Experts with Mixture of Precisions for Tuning Quality of Service
by: Imani, HamidReza, et al.
Published: (2024)
by: Imani, HamidReza, et al.
Published: (2024)
Sparsity and Superposition in Mixture of Experts
by: Chaudhari, Marmik, et al.
Published: (2025)
by: Chaudhari, Marmik, et al.
Published: (2025)
Mixture of Diverse Size Experts
by: Sun, Manxi, et al.
Published: (2024)
by: Sun, Manxi, et al.
Published: (2024)
Mixture of Concept Bottleneck Experts
by: De Santis, Francesco, et al.
Published: (2026)
by: De Santis, Francesco, et al.
Published: (2026)
Speculating Experts Accelerates Inference for Mixture-of-Experts
by: Madan, Vivan, et al.
Published: (2026)
by: Madan, Vivan, et al.
Published: (2026)
Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts
by: Miao, Changhao, et al.
Published: (2026)
by: Miao, Changhao, et al.
Published: (2026)
Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging
by: Bertolissi, Ryo, et al.
Published: (2025)
by: Bertolissi, Ryo, et al.
Published: (2025)
Score-of-Mixture Training: Training One-Step Generative Models Made Simple via Score Estimation of Mixture Distributions
by: Jayashankar, Tejas, et al.
Published: (2025)
by: Jayashankar, Tejas, et al.
Published: (2025)
Dense Training, Sparse Inference: Rethinking Training of Mixture-of-Experts Language Models
by: Pan, Bowen, et al.
Published: (2024)
by: Pan, Bowen, et al.
Published: (2024)
MoE-DisCo:Low Economy Cost Training Mixture-of-Experts Models
by: Ye, Xin, et al.
Published: (2026)
by: Ye, Xin, et al.
Published: (2026)
AnyExperts: On-Demand Expert Allocation for Multimodal Language Models with Mixture of Expert
by: Gao, Yuting, et al.
Published: (2025)
by: Gao, Yuting, et al.
Published: (2025)
BigMac: A Communication-Efficient Mixture-of-Experts Model Structure for Fast Training and Inference
by: Jin, Zewen, et al.
Published: (2025)
by: Jin, Zewen, et al.
Published: (2025)
Dual Mixture-of-Experts Framework for Discrete-Time Survival Analysis
by: Lee, Hyeonjun, et al.
Published: (2025)
by: Lee, Hyeonjun, et al.
Published: (2025)
MoDE: A Mixture-of-Experts Model with Mutual Distillation among the Experts
by: Xie, Zhitian, et al.
Published: (2024)
by: Xie, Zhitian, et al.
Published: (2024)
Modeling Expert Interactions in Sparse Mixture of Experts via Graph Structures
by: Nguyen-Nhat, Minh-Khoi, et al.
Published: (2025)
by: Nguyen-Nhat, Minh-Khoi, et al.
Published: (2025)
Graph Knowledge Distillation to Mixture of Experts
by: Rumiantsev, Pavel, et al.
Published: (2024)
by: Rumiantsev, Pavel, et al.
Published: (2024)
Mixture of Weak & Strong Experts on Graphs
by: Zeng, Hanqing, et al.
Published: (2023)
by: Zeng, Hanqing, et al.
Published: (2023)
Theory on Mixture-of-Experts in Continual Learning
by: Li, Hongbo, et al.
Published: (2024)
by: Li, Hongbo, et al.
Published: (2024)
Variational Routing: A Scalable Bayesian Framework for Calibrated Mixture-of-Experts Transformers
by: Li, Albus Yizhuo, et al.
Published: (2026)
by: Li, Albus Yizhuo, et al.
Published: (2026)
Not All Models Suit Expert Offloading: On Local Routing Consistency of Mixture-of-Expert Models
by: Liang, Jingcong, et al.
Published: (2025)
by: Liang, Jingcong, et al.
Published: (2025)
Generalization and Scaling Laws for Mixture-of-Experts Transformers
by: Mayaki, Mansour Zoubeirou a
Published: (2026)
by: Mayaki, Mansour Zoubeirou a
Published: (2026)
UniPool: A Globally Shared Expert Pool for Mixture-of-Experts
by: Huang, Minbin, et al.
Published: (2026)
by: Huang, Minbin, et al.
Published: (2026)
Nexus: Specialization meets Adaptability for Efficiently Training Mixture of Experts
by: Gritsch, Nikolas, et al.
Published: (2024)
by: Gritsch, Nikolas, et al.
Published: (2024)
Accelerating Mixture-of-Expert Inference with Adaptive Expert Split Mechanism
by: Yan, Jiaming, et al.
Published: (2025)
by: Yan, Jiaming, et al.
Published: (2025)
Expert Upcycling: Shifting the Compute-Efficient Frontier of Mixture-of-Experts
by: Dwivedi, Chaitanya, et al.
Published: (2026)
by: Dwivedi, Chaitanya, et al.
Published: (2026)
Efficient Training of Large-Scale AI Models Through Federated Mixture-of-Experts: A System-Level Approach
by: Chen, Xiaobing, et al.
Published: (2025)
by: Chen, Xiaobing, et al.
Published: (2025)
Optimal Expert-Attention Allocation in Mixture-of-Experts: A Scalable Law for Dynamic Model Design
by: Li, Junzhuo, et al.
Published: (2026)
by: Li, Junzhuo, et al.
Published: (2026)
Similar Items
-
Nile-Chat: Egyptian Language Models for Arabic and Latin Scripts
by: Shang, Guokan, et al.
Published: (2025) -
Shorter but not Worse: Frugal Reasoning via Easy Samples as Length Regularizers in Math RLVR
by: Bounhar, Abdelaziz, et al.
Published: (2025) -
MC#: Mixture Compressor for Mixture-of-Experts Large Models
by: Huang, Wei, et al.
Published: (2025) -
Efficient Quantization of Mixture-of-Experts with Theoretical Generalization Guarantees
by: Chowdhury, Mohammed Nowaz Rabbani, et al.
Published: (2026) -
Mixture of Experts in a Mixture of RL settings
by: Willi, Timon, et al.
Published: (2024)