mixture-of-experts

MoE-GRPO: Optimizing Mixture-of-Experts via Reinforcement Learning in Vision-Language Models CVPR 2026 YOLO-Master: MOE-Accelerated with Specialized Transformers for Enhanced Real-time Detection CVPR 2026 I^2MoE: Interpretable Multimodal Interaction-aware Mixture-of-Experts ICML 2025 A Stronger Mixture of Low-Rank Experts for Fine-Tuning Foundation Models ICML 2025 Autonomy-of-Experts Models ICML 2025 CLONE: Closed-Loop Whole-Body Humanoid Teleoperation for Long-Horizon Tasks CoRL 2025 Delta Decompression for MoE-based LLMs Compression ICML 2025 Diff-MoE: Diffusion Transformer with Time-Aware and Space-Adaptive Experts ICML 2025 FlexiReID: Adaptive Mixture of Expert for Multi-Modal Person Re-Identification ICML 2025 FloE: On-the-Fly MoE Inference on Memory-constrained GPU ICML 2025 Make LoRA Great Again: Boosting LoRA with Adaptive Singular Values and Mixture-of-Experts Optimization Alignment ICML 2025 Mastering Massive Multi-Task Reinforcement Learning via Mixture-of-Expert Decision Transformer ICML 2025 MENTOR: Mixture-of-Experts Network with Task-Oriented Perturbation for Visual Reinforcement Learning ICML 2025 Mixture of Experts Made Intrinsically Interpretable ICML 2025 MoEQuant: Enhancing Quantization for Mixture-of-Experts Large Language Models via Expert-Balanced Sampling and Affinity Guidance ICML 2025 MoHAVE: Mixture of Hierarchical Audio-Visual Experts for Robust Speech Recognition ICML 2025 Occult: Optimizing Collaborative Communications across Experts for Accelerated Parallel MoE Training and Inference ICML 2025 On-Device Collaborative Language Modeling via a Mixture of Generalists and Specialists ICML 2025 Oracle-MoE: Locality-preserving Routing in the Oracle Space for Memory-constrained Large Language Model Inference ICML 2025 Parameters vs FLOPs: Scaling Laws for Optimal Sparsity for Mixture-of-Experts Language Models ICML 2025 Parrot: Multilingual Visual Instruction Tuning ICML 2025 Probabilistic Learning to Defer: Handling Missing Expert Annotations and Controlling Workload Distribution ICLR 2025 QoS-Efficient Serving of Multiple Mixture-of-Expert LLMs Using Partial Runtime Reconfiguration ICML 2025 R2-T2: Re-Routing in Test-Time for Multimodal Mixture-of-Experts ICML 2025 Retraining-free Merging of Sparse MoE via Hierarchical Clustering ICML 2025