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Mixture-of-Experts

Papers

Showing 5175 of 1312 papers

TitleStatusHype
SPACE: Your Genomic Profile Predictor is a Powerful DNA Foundation ModelCode1
Enhancing Multimodal Continual Instruction Tuning with BranchLoRA0
Decoding Knowledge Attribution in Mixture-of-Experts: A Framework of Basic-Refinement Collaboration and Efficiency Analysis0
Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction0
Mastering Massive Multi-Task Reinforcement Learning via Mixture-of-Expert Decision TransformerCode1
GradPower: Powering Gradients for Faster Language Model Pre-Training0
On the Expressive Power of Mixture-of-Experts for Structured Complex Tasks0
A Survey of Generative Categories and Techniques in Multimodal Large Language Models0
Point-MoE: Towards Cross-Domain Generalization in 3D Semantic Segmentation via Mixture-of-Experts0
Revisiting Uncertainty Estimation and Calibration of Large Language Models0
Noise-Robustness Through Noise: Asymmetric LoRA Adaption with Poisoning Expert0
Two Is Better Than One: Rotations Scale LoRAs0
From Knowledge to Noise: CTIM-Rover and the Pitfalls of Episodic Memory in Software Engineering AgentsCode0
EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models0
HiDream-I1: A High-Efficient Image Generative Foundation Model with Sparse Diffusion TransformerCode7
ForceVLA: Enhancing VLA Models with a Force-aware MoE for Contact-rich Manipulation0
A Human-Centric Approach to Explainable AI for Personalized EducationCode0
Advancing Expert Specialization for Better MoE0
MoE-Gyro: Self-Supervised Over-Range Reconstruction and Denoising for MEMS Gyroscopes0
Rethinking Gating Mechanism in Sparse MoE: Handling Arbitrary Modality Inputs with Confidence-Guided GateCode0
WINA: Weight Informed Neuron Activation for Accelerating Large Language Model InferenceCode2
MoESD: Unveil Speculative Decoding's Potential for Accelerating Sparse MoE0
NEXT: Multi-Grained Mixture of Experts via Text-Modulation for Multi-Modal Object Re-ID0
FLAME-MoE: A Transparent End-to-End Research Platform for Mixture-of-Experts Language ModelsCode1
Mosaic: Data-Free Knowledge Distillation via Mixture-of-Experts for Heterogeneous Distributed EnvironmentsCode0
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