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Mixture-of-Experts

Papers

Showing 651–675 of 1312 papers

TitleStatusHype
Towards Adversarial Robustness of Model-Level Mixture-of-Experts Architectures for Semantic SegmentationCode0
Enhancing Healthcare Recommendation Systems with a Multimodal LLMs-based MOE Architecture—0
Investigating Mixture of Experts in Dense Retrieval—0
Llama 3 Meets MoE: Efficient Upcycling—0
Mixture of Experts Meets Decoupled Message Passing: Towards General and Adaptive Node ClassificationCode0
Adaptive Prompting for Continual Relation Extraction: A Within-Task Variance Perspective—0
MoE-CAP: Benchmarking Cost, Accuracy and Performance of Sparse Mixture-of-Experts Systems—0
UniPaint: Unified Space-time Video Inpainting via Mixture-of-Experts—0
An Entailment Tree Generation Approach for Multimodal Multi-Hop Question Answering with Mixture-of-Experts and Iterative Feedback Mechanism—0
Towards 3D Acceleration for low-power Mixture-of-Experts and Multi-Head Attention Spiking Transformers—0
Steps are all you need: Rethinking STEM Education with Prompt Engineering—0
Convolutional Neural Networks and Mixture of Experts for Intrusion Detection in 5G Networks and beyond—0
Yi-Lightning Technical Report—0
HiMoE: Heterogeneity-Informed Mixture-of-Experts for Fair Spatial-Temporal Forecasting—0
MQFL-FHE: Multimodal Quantum Federated Learning Framework with Fully Homomorphic Encryption—0
Mixture of Experts for Node Classification—0
LaVIDE: A Language-Vision Discriminator for Detecting Changes in Satellite Image with Map References—0
On the effectiveness of discrete representations in sparse mixture of experts—0
Mixture of Cache-Conditional Experts for Efficient Mobile Device Inference—0
UOE: Unlearning One Expert Is Enough For Mixture-of-experts LLMS—0
Mixture of Experts in Image Classification: What's the Sweet Spot?—0
Complexity Experts are Task-Discriminative Learners for Any Image Restoration—0
Enhancing Code-Switching ASR Leveraging Non-Peaky CTC Loss and Deep Language Posterior Injection—0
H^3Fusion: Helpful, Harmless, Honest Fusion of Aligned LLMsCode0
LDACP: Long-Delayed Ad Conversions Prediction Model for Bidding Strategy—0
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