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Mixture-of-Experts

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Showing 501–525 of 1312 papers

TitleStatusHype
BiPrompt-SAM: Enhancing Image Segmentation via Explicit Selection between Point and Text Prompts—0
Galaxy Walker: Geometry-aware VLMs For Galaxy-scale Understanding—0
ExpertRAG: Efficient RAG with Mixture of Experts -- Optimizing Context Retrieval for Adaptive LLM Responses—0
Every Sample Matters: Leveraging Mixture-of-Experts and High-Quality Data for Efficient and Accurate Code LLM—0
Expert Race: A Flexible Routing Strategy for Scaling Diffusion Transformer with Mixture of Experts—0
UniCoRN: Latent Diffusion-based Unified Controllable Image Restoration Network across Multiple Degradations—0
Leveraging MoE-based Large Language Model for Zero-Shot Multi-Task Semantic Communication—0
SemEval-2025 Task 1: AdMIRe -- Advancing Multimodal Idiomaticity Representation—0
MAST-Pro: Dynamic Mixture-of-Experts for Adaptive Segmentation of Pan-Tumors with Knowledge-Driven Prompts—0
Core-Periphery Principle Guided State Space Model for Functional Connectome Classification—0
Fast filtering of non-Gaussian models using Amortized Optimal Transport MapsCode0
Adaptive Mixture of Low-Rank Experts for Robust Audio Spoofing Detection—0
MoLEx: Mixture of Layer Experts for Finetuning with Sparse UpcyclingCode0
A Review of DeepSeek Models' Key Innovative Techniques—0
Ensemble Learning for Large Language Models in Text and Code Generation: A Survey—0
dFLMoE: Decentralized Federated Learning via Mixture of Experts for Medical Data Analysis—0
Towards Robust Multimodal Representation: A Unified Approach with Adaptive Experts and AlignmentCode0
Astrea: A MOE-based Visual Understanding Model with Progressive Alignment—0
FaVChat: Unlocking Fine-Grained Facail Video Understanding with Multimodal Large Language Models—0
Priority-Aware Preemptive Scheduling for Mixed-Priority Workloads in MoE Inference—0
Double-Stage Feature-Level Clustering-Based Mixture of Experts Framework—0
Automatic Operator-level Parallelism Planning for Distributed Deep Learning -- A Mixed-Integer Programming Approach—0
UniF^2ace: Fine-grained Face Understanding and Generation with Unified Multimodal Models—0
MoE-Loco: Mixture of Experts for Multitask Locomotion—0
MoRE: Unlocking Scalability in Reinforcement Learning for Quadruped Vision-Language-Action Models—0
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