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Mixture-of-Experts

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Showing 451–475 of 1312 papers

TitleStatusHype
CICADA: Cross-Domain Interpretable Coding for Anomaly Detection and Adaptation in Multivariate Time Series—0
MoxE: Mixture of xLSTM Experts with Entropy-Aware Routing for Efficient Language Modeling—0
MicarVLMoE: A Modern Gated Cross-Aligned Vision-Language Mixture of Experts Model for Medical Image Captioning and Report GenerationCode0
Accelerating Mixture-of-Experts Training with Adaptive Expert Replication—0
PICO: Secure Transformers via Robust Prompt Isolation and Cybersecurity Oversight—0
NoEsis: Differentially Private Knowledge Transfer in Modular LLM Adaptation—0
BadMoE: Backdooring Mixture-of-Experts LLMs via Optimizing Routing Triggers and Infecting Dormant Experts—0
Unveiling the Hidden: Movie Genre and User Bias in Spoiler DetectionCode0
MoE Parallel Folding: Heterogeneous Parallelism Mappings for Efficient Large-Scale MoE Model Training with Megatron Core—0
HAECcity: Open-Vocabulary Scene Understanding of City-Scale Point Clouds with Superpoint Graph Clustering—0
Multi-Type Context-Aware Conversational Recommender Systems via Mixture-of-Experts—0
D^2MoE: Dual Routing and Dynamic Scheduling for Efficient On-Device MoE-based LLM Serving—0
Trend Filtered Mixture of Experts for Automated Gating of High-Frequency Flow Cytometry Data—0
Unveiling Hidden Collaboration within Mixture-of-Experts in Large Language Models—0
Plasticity-Aware Mixture of Experts for Learning Under QoE Shifts in Adaptive Video Streaming—0
Mixture-of-Shape-Experts (MoSE): End-to-End Shape Dictionary Framework to Prompt SAM for Generalizable Medical Segmentation—0
MoE-Lens: Towards the Hardware Limit of High-Throughput MoE LLM Serving Under Resource Constraints—0
Regularized infill criteria for multi-objective Bayesian optimization with application to aircraft design—0
RouterKT: Mixture-of-Experts for Knowledge TracingCode0
Adaptive Detection of Fast Moving Celestial Objects Using a Mixture of Experts and Physical-Inspired Neural Network—0
Scaling Laws for Native Multimodal Models Scaling Laws for Native Multimodal Models—0
Cluster-Driven Expert Pruning for Mixture-of-Experts Large Language ModelsCode0
Seed1.5-Thinking: Advancing Superb Reasoning Models with Reinforcement Learning—0
FedMerge: Federated Personalization via Model Merging—0
Holistic Capability Preservation: Towards Compact Yet Comprehensive Reasoning Models—0
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