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Mixture-of-Experts
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이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
ENACT-Heart -- ENsemble-based Assessment Using CNN and Transformer on Heart Sounds
GEMINUS: Dual-aware Global and Scene-Adaptive Mixture-of-Experts for End-to-End Autonomous Driving
R^2MoE: Redundancy-Removal Mixture of Experts for Lifelong Concept Learning
Mixture of Experts in Large Language Models
Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive
KAT-V1: Kwai-AutoThink Technical Report
MoFE-Time: Mixture of Frequency Domain Experts for Time-Series Forecasting Models
Efficient Training of Large-Scale AI Models Through Federated Mixture-of-Experts: A System-Level Approach
What You Have is What You Track: Adaptive and Robust Multimodal Tracking
A Survey on Prompt Tuning
Speech Quality Assessment Model Based on Mixture of Experts: System-Level Performance Enhancement and Utterance-Level Challenge Analysis
Growing Transformers: Modular Composition and Layer-wise Expansion on a Frozen Substrate
Learning Robust Stereo Matching in the Wild with Selective Mixture-of-Experts
UGG-ReID: Uncertainty-Guided Graph Model for Multi-Modal Object Re-Identification
Sub-MoE: Efficient Mixture-of-Expert LLMs Compression via Subspace Expert Merging
EVA: Mixture-of-Experts Semantic Variant Alignment for Compositional Zero-Shot Learning
Little By Little: Continual Learning via Self-Activated Sparse Mixture-of-Rank Adaptive Learning
Learning to Skip the Middle Layers of Transformers
Latent Prototype Routing: Achieving Near-Perfect Load Balancing in Mixture-of-Experts
Opportunistic Osteoporosis Diagnosis via Texture-Preserving Self-Supervision, Mixture of Experts and Multi-Task Integration
Security Assessment of DeepSeek and GPT Series Models against Jailbreak Attacks
An Audio-centric Multi-task Learning Framework for Streaming Ads Targeting on Spotify
SAFEx: Analyzing Vulnerabilities of MoE-Based LLMs via Stable Safety-critical Expert Identification
MoTE: Mixture of Ternary Experts for Memory-efficient Large Multimodal Models
Single-Example Learning in a Mixture of GPDMs with Latent Geometries
GuiLoMo: Allocating Expert Number and Rank for LoRA-MoE via Bilevel Optimization with GuidedSelection Vectors
Ring-lite: Scalable Reasoning via C3PO-Stabilized Reinforcement Learning for LLMs
Exploring Speaker Diarization with Mixture of Experts
NeuroMoE: A Transformer-Based Mixture-of-Experts Framework for Multi-Modal Neurological Disorder Classification
Scaling Intelligence: Designing Data Centers for Next-Gen Language Models
Utility-Driven Speculative Decoding for Mixture-of-Experts
LoRA-Mixer: Coordinate Modular LoRA Experts Through Serial Attention Routing
EAQuant: Enhancing Post-Training Quantization for MoE Models via Expert-Aware Optimization
MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention
Load Balancing Mixture of Experts with Similarity Preserving Routers
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