SOTAVerified

Mixture-of-Experts

Papers

Showing 601–625 of 1312 papers

TitleStatusHype
MergeME: Model Merging Techniques for Homogeneous and Heterogeneous MoEs—0
MExD: An Expert-Infused Diffusion Model for Whole-Slide Image Classification—0
EfficientLLM: Efficiency in Large Language Models—0
Efficient Large Scale Video Classification—0
Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM—0
Efficient Large Scale Language Modeling with Mixtures of Experts—0
Efficient Language Modeling with Sparse all-MLP—0
BrainNet-MoE: Brain-Inspired Mixture-of-Experts Learning for Neurological Disease Identification—0
Anchoring to Exemplars for Training Mixture-of-Expert Cell Embeddings—0
Brain-Like Processing Pathways Form in Models With Heterogeneous Experts—0
An Autonomous Network Orchestration Framework Integrating Large Language Models with Continual Reinforcement Learning—0
AdaSpeech 3: Adaptive Text to Speech for Spontaneous Style—0
Memory Augmented Language Models through Mixture of Word Experts—0
LSTM-based Mixture-of-Experts for Knowledge-Aware Dialogues—0
Efficient Data Driven Mixture-of-Expert Extraction from Trained Networks—0
LPT++: Efficient Training on Mixture of Long-tailed Experts—0
Low-Rank Mixture-of-Experts for Continual Medical Image Segmentation—0
Boost Your NeRF: A Model-Agnostic Mixture of Experts Framework for High Quality and Efficient Rendering—0
An Autonomous Negotiating Agent Framework with Reinforcement Learning Based Strategies and Adaptive Strategy Switching Mechanism—0
Lory: Fully Differentiable Mixture-of-Experts for Autoregressive Language Model Pre-training—0
LoRA-Switch: Boosting the Efficiency of Dynamic LLM Adapters via System-Algorithm Co-design—0
Lynx: Enabling Efficient MoE Inference through Dynamic Batch-Aware Expert Selection—0
M^2CD: A Unified MultiModal Framework for Optical-SAR Change Detection with Mixture of Experts and Self-Distillation—0
Efficient Deweather Mixture-of-Experts with Uncertainty-aware Feature-wise Linear Modulation—0
LoRA-Mixer: Coordinate Modular LoRA Experts Through Serial Attention Routing—0
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