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Mixture-of-Experts

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Showing 551–575 of 1312 papers

TitleStatusHype
Every Expert Matters: Towards Effective Knowledge Distillation for Mixture-of-Experts Language Models—0
EVE: Efficient Vision-Language Pre-training with Masked Prediction and Modality-Aware MoE—0
Channel Gain Cartography via Mixture of Experts—0
EVA: Mixture-of-Experts Semantic Variant Alignment for Compositional Zero-Shot Learning—0
Evaluating Expert Contributions in a MoE LLM for Quiz-Based Tasks—0
Changing Model Behavior at Test-Time Using Reinforcement Learning—0
ADMoE: Anomaly Detection with Mixture-of-Experts from Noisy Labels—0
Modular Action Concept Grounding in Semantic Video Prediction—0
EPS-MoE: Expert Pipeline Scheduler for Cost-Efficient MoE Inference—0
LoRA-Switch: Boosting the Efficiency of Dynamic LLM Adapters via System-Algorithm Co-design—0
Ensemble Learning for Large Language Models in Text and Code Generation: A Survey—0
Non-asymptotic oracle inequalities for the Lasso in high-dimensional mixture of experts—0
Routing in Sparsely-gated Language Models responds to Context—0
Lory: Fully Differentiable Mixture-of-Experts for Autoregressive Language Model Pre-training—0
Low-Rank Mixture-of-Experts for Continual Medical Image Segmentation—0
Enhancing the "Immunity" of Mixture-of-Experts Networks for Adversarial Defense—0
Capacity-Aware Inference: Mitigating the Straggler Effect in Mixture of Experts—0
Enhancing Multi-modal Models with Heterogeneous MoE Adapters for Fine-tuning—0
Enhancing Multimodal Continual Instruction Tuning with BranchLoRA—0
Context-aware Mixture-of-Experts for Unbiased Scene Graph Generation—0
An Introduction to the Practical and Theoretical Aspects of Mixture-of-Experts Modeling—0
Enhancing Healthcare Recommendation Systems with a Multimodal LLMs-based MOE Architecture—0
Enhancing Generalization in Sparse Mixture of Experts Models: The Case for Increased Expert Activation in Compositional Tasks—0
CAME: Competitively Learning a Mixture-of-Experts Model for First-stage Retrieval—0
An Entailment Tree Generation Approach for Multimodal Multi-Hop Question Answering with Mixture-of-Experts and Iterative Feedback Mechanism—0
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