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Mixture-of-Experts

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Showing 101–125 of 1312 papers

TitleStatusHype
EfficientLLM: Efficiency in Large Language Models—0
StPR: Spatiotemporal Preservation and Routing for Exemplar-Free Video Class-Incremental Learning—0
Towards Rehearsal-Free Continual Relation Extraction: Capturing Within-Task Variance with Adaptive PromptingCode0
U-SAM: An audio language Model for Unified Speech, Audio, and Music UnderstandingCode1
Scaling and Enhancing LLM-based AVSR: A Sparse Mixture of Projectors Approach—0
Model Selection for Gaussian-gated Gaussian Mixture of Experts Using Dendrograms of Mixing Measures—0
Occult: Optimizing Collaborative Communication across Experts for Accelerated Parallel MoE Training and InferenceCode1
Seeing the Unseen: How EMoE Unveils Bias in Text-to-Image Diffusion Models—0
CompeteSMoE -- Statistically Guaranteed Mixture of Experts Training via CompetitionCode0
True Zero-Shot Inference of Dynamical Systems Preserving Long-Term Statistics—0
Model Merging in Pre-training of Large Language Models—0
Improving Coverage in Combined Prediction Sets with Weighted p-values—0
Multi-modal Collaborative Optimization and Expansion Network for Event-assisted Single-eye Expression RecognitionCode0
MINGLE: Mixtures of Null-Space Gated Low-Rank Experts for Test-Time Continual Model Merging—0
MegaScale-MoE: Large-Scale Communication-Efficient Training of Mixture-of-Experts Models in Production—0
MoE-CAP: Benchmarking Cost, Accuracy and Performance of Sparse Mixture-of-Experts Systems—0
A Fast Kernel-based Conditional Independence test with Application to Causal Discovery—0
On DeepSeekMoE: Statistical Benefits of Shared Experts and Normalized Sigmoid Gating—0
Insights into DeepSeek-V3: Scaling Challenges and Reflections on Hardware for AI Architectures—0
PT-MoE: An Efficient Finetuning Framework for Integrating Mixture-of-Experts into Prompt TuningCode0
PWC-MoE: Privacy-Aware Wireless Collaborative Mixture of Experts—0
AM-Thinking-v1: Advancing the Frontier of Reasoning at 32B Scale—0
UMoE: Unifying Attention and FFN with Shared Experts—0
Seed1.5-VL Technical Report—0
FreqMoE: Dynamic Frequency Enhancement for Neural PDE Solvers—0
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