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Mixture-of-Experts

Papers

Showing 751–775 of 1312 papers

TitleStatusHype
Upcycling Instruction Tuning from Dense to Mixture-of-Experts via Parameter Merging—0
EC-DIT: Scaling Diffusion Transformers with Adaptive Expert-Choice Routing—0
UniAdapt: A Universal Adapter for Knowledge Calibration—0
MoS: Unleashing Parameter Efficiency of Low-Rank Adaptation with Mixture of Shards—0
Robust Traffic Forecasting against Spatial Shift over YearsCode0
MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning—0
IDEA: An Inverse Domain Expert Adaptation Based Active DNN IP Protection Method—0
SciDFM: A Large Language Model with Mixture-of-Experts for Science—0
Toward Mixture-of-Experts Enabled Trustworthy Semantic Communication for 6G Networks—0
Boosting Code-Switching ASR with Mixture of Experts Enhanced Speech-Conditioned LLM—0
Leveraging Mixture of Experts for Improved Speech Deepfake Detection—0
Multi-Modal Generative AI: Multi-modal LLM, Diffusion and Beyond—0
A Gated Residual Kolmogorov-Arnold Networks for Mixtures of ExpertsCode0
Routing in Sparsely-gated Language Models responds to Context—0
Multi-omics data integration for early diagnosis of hepatocellular carcinoma (HCC) using machine learning—0
On-Device Collaborative Language Modeling via a Mixture of Generalists and SpecialistsCode0
Robust Audiovisual Speech Recognition Models with Mixture-of-Experts—0
Mixture of Diverse Size Experts—0
GRIN: GRadient-INformed MoE—0
LPT++: Efficient Training on Mixture of Long-tailed Experts—0
Adaptive Segmentation-Based Initialization for Steered Mixture of Experts Image Regression—0
Integrating AI's Carbon Footprint into Risk Management Frameworks: Strategies and Tools for Sustainable Compliance in Banking Sector—0
STUN: Structured-Then-Unstructured Pruning for Scalable MoE Pruning—0
VE: Modeling Multivariate Time Series Correlation with Variate EmbeddingCode0
DA-MoE: Towards Dynamic Expert Allocation for Mixture-of-Experts Models—0
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