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Mixture-of-Experts

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Showing 701–750 of 1312 papers

TitleStatusHype
Stealing User Prompts from Mixture of Experts—0
Efficient and Interpretable Grammatical Error Correction with Mixture of ExpertsCode0
MALoRA: Mixture of Asymmetric Low-Rank Adaptation for Enhanced Multi-Task Learning—0
ProMoE: Fast MoE-based LLM Serving using Proactive Caching—0
Efficient and Effective Weight-Ensembling Mixture of Experts for Multi-Task Model Merging—0
Neural Experts: Mixture of Experts for Implicit Neural Representations—0
Efficient Mixture-of-Expert for Video-based Driver State and Physiological Multi-task Estimation in Conditional Autonomous Driving—0
FinTeamExperts: Role Specialized MOEs For Financial Analysis—0
Hierarchical Mixture of Experts: Generalizable Learning for High-Level SynthesisCode0
MoMQ: Mixture-of-Experts Enhances Multi-Dialect Query Generation across Relational and Non-Relational Databases—0
Mixture of Parrots: Experts improve memorization more than reasoning—0
ExpertFlow: Optimized Expert Activation and Token Allocation for Efficient Mixture-of-Experts Inference—0
Robust and Explainable Depression Identification from Speech Using Vowel-Based Ensemble Learning Approaches—0
MiLoRA: Efficient Mixture of Low-Rank Adaptation for Large Language Models Fine-tuning—0
Faster Language Models with Better Multi-Token Prediction Using Tensor Decomposition—0
Optimizing Mixture-of-Experts Inference Time Combining Model Deployment and Communication Scheduling—0
ViMoE: An Empirical Study of Designing Vision Mixture-of-Experts—0
CartesianMoE: Boosting Knowledge Sharing among Experts via Cartesian Product Routing in Mixture-of-ExpertsCode0
MENTOR: Mixture-of-Experts Network with Task-Oriented Perturbation for Visual Reinforcement Learning—0
Enhancing Generalization in Sparse Mixture of Experts Models: The Case for Increased Expert Activation in Compositional Tasks—0
Understanding Expert Structures on Minimax Parameter Estimation in Contaminated Mixture of Experts—0
On the Risk of Evidence Pollution for Malicious Social Text Detection in the Era of LLMs—0
EPS-MoE: Expert Pipeline Scheduler for Cost-Efficient MoE Inference—0
MoE-Pruner: Pruning Mixture-of-Experts Large Language Model using the Hints from Its Router—0
Transformer Layer Injection: A Novel Approach for Efficient Upscaling of Large Language Models—0
Quadratic Gating Functions in Mixture of Experts: A Statistical Insight—0
Scalable Multi-Domain Adaptation of Language Models using Modular Experts—0
Learning to Ground VLMs without Forgetting—0
Ada-K Routing: Boosting the Efficiency of MoE-based LLMs—0
ContextWIN: Whittle Index Based Mixture-of-Experts Neural Model For Restless Bandits Via Deep RL—0
MoIN: Mixture of Introvert Experts to Upcycle an LLM—0
GETS: Ensemble Temperature Scaling for Calibration in Graph Neural Networks—0
AT-MoE: Adaptive Task-planning Mixture of Experts via LoRA Approach—0
Upcycling Large Language Models into Mixture of Experts—0
More Experts Than Galaxies: Conditionally-overlapping Experts With Biologically-Inspired Fixed RoutingCode0
Mono-InternVL: Pushing the Boundaries of Monolithic Multimodal Large Language Models with Endogenous Visual Pre-training—0
Functional-level Uncertainty Quantification for Calibrated Fine-tuning on LLMs—0
Toward generalizable learning of all (linear) first-order methods via memory augmented Transformers—0
Scaling Laws Across Model Architectures: A Comparative Analysis of Dense and MoE Models in Large Language Models—0
Probing the Robustness of Theory of Mind in Large Language Models—0
Multimodal Fusion Strategies for Mapping Biophysical Landscape FeaturesCode0
Realizing Video Summarization from the Path of Language-based Semantic Understanding—0
Structure-Enhanced Protein Instruction Tuning: Towards General-Purpose Protein Understanding with LLMs—0
A Dynamic Approach to Stock Price Prediction: Comparing RNN and Mixture of Experts Models Across Different Volatility Profiles—0
On Expert Estimation in Hierarchical Mixture of Experts: Beyond Softmax Gating Functions—0
Neutral residues: revisiting adapters for model extension—0
Efficient Residual Learning with Mixture-of-Experts for Universal Dexterous Grasping—0
Revisiting Prefix-tuning: Statistical Benefits of Reparameterization among PromptsCode0
MLP-KAN: Unifying Deep Representation and Function LearningCode0
The Labyrinth of Links: Navigating the Associative Maze of Multi-modal LLMs—0
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