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Papers
Balanced Knowledge Distillation for Large Language Models with Mix-of-Experts
AAAI 2026
C-GNN-PRUNE: A Unified Graph-Based Framework for Structure-Aware Pruning of Mixture-of-Experts Models
AAAI 2026
CommitMoE: Efficient Fallback-Free MoE Inference with Offloading Under GPU Memory Constraints
AAAI 2026
ERMoE: Eigen-Reparameterized Mixture-of-Experts for Stable Routing and Interpretable Specialization
CVPR 2026
From Global to Factor-Wise Expert Composition in Discrete Diffusion Models
UAI 2026
GROVER: Graph-guided Representation of Omics and Vision with Expert Regulation for Adaptive Spatial Multi-omics Fusion
AAAI 2026
MoE-GRPO: Optimizing Mixture-of-Experts via Reinforcement Learning in Vision-Language Models
CVPR 2026
Optimizing LoRA Allocation of MoE with the Alignment of Topic Correlation
AAAI 2026
QA-MoE: Towards a Continuous Reliability Spectrum with Quality-Aware Mixture of Experts for Robust Multimodal Sentiment Analysis
ACL 2026
Soft Modality-Guided Expert Specialization in MoE-VLMs
CVPR 2026
Spectral Mixture-of-Experts for Continual Learning
CVPR 2026
Talk, Snap, Complain: Validation-Aware Multimodal Expert Framework for Fine-Grained Customer Grievances
AAAI 2026
TuckA: Hierarchical Compact Tensor Experts for Efficient Fine-Tuning
AAAI 2026
Uncertainty-Aware Routing for Principled Alignment with MoE Dynamics
ACL 2026
UniLDiff: Unlocking the Power of Diffusion Priors for All-in-One Image Restoration
CVPR 2026
What the Router Sees Matters: Funnel Pooling for Fast, Content Driven Expert Routing
EACL 2026
Advancing SMoE for Continuous Domain Adaptation of MLLMs: Adaptive Router and Domain-Specific Loss
ACL 2025
Bag of Tricks for Sparse Mixture-of-Experts: A Benchmark Across Reasoning, Efficiency, and Safety
EMNLP 2025
CartesianMoE: Boosting Knowledge Sharing among Experts via Cartesian Product Routing in Mixture-of-Experts
NAACL 2025
Decoding Knowledge Attribution in Mixture-of-Experts: A Framework of Basic-Refinement Collaboration and Efficiency Analysis
ACL 2025
Exploration-Driven Reinforcement Learning for Expert Routing Improvement in Mixture-of-Experts Language Models
EMNLP 2025
Glider: Global and Local Instruction-Driven Expert Router
EMNLP 2025
HookMoE: A learnable performance compensation strategy of Mixture-of-Experts for LLM inference acceleration
EMNLP 2025
Less, but Better: Efficient Multilingual Expansion for LLMs via Layer-wise Mixture-of-Experts
ACL 2025
LOLA – An Open-Source Massively Multilingual Large Language Model
COLING 2025