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Mixture-of-Experts

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Showing 851–900 of 1312 papers

TitleStatusHype
Revolutionizing Disease Diagnosis with simultaneous functional PET/MR and Deeply Integrated Brain Metabolic, Hemodynamic, and Perfusion Networks—0
Ring-lite: Scalable Reasoning via C3PO-Stabilized Reinforcement Learning for LLMs—0
RingMoE: Mixture-of-Modality-Experts Multi-Modal Foundation Models for Universal Remote Sensing Image Interpretation—0
Robust and Explainable Depression Identification from Speech Using Vowel-Based Ensemble Learning Approaches—0
Robust Audiovisual Speech Recognition Models with Mixture-of-Experts—0
Robust Calibration For Improved Weather Prediction Under Distributional Shift—0
Robust mixture of experts modeling using the skew t distribution—0
Robust mixture of experts modeling using the t distribution—0
RocketPPA: Code-Level Power, Performance, and Area Prediction via LLM and Mixture of Experts—0
Routers in Vision Mixture of Experts: An Empirical Study—0
RS-MoE: Mixture of Experts for Remote Sensing Image Captioning and Visual Question Answering—0
RTM Ensemble Learning Results at Quality Estimation Task—0
RTM Stacking Results for Machine Translation Performance Prediction—0
RTM Super Learner Results at Quality Estimation Task—0
S2MoE: Robust Sparse Mixture of Experts via Stochastic Learning—0
Safe Real-World Autonomous Driving by Learning to Predict and Plan with a Mixture of Experts—0
SAFEx: Analyzing Vulnerabilities of MoE-Based LLMs via Stable Safety-critical Expert Identification—0
SAM-Med3D-MoE: Towards a Non-Forgetting Segment Anything Model via Mixture of Experts for 3D Medical Image Segmentation—0
Scalable and Efficient MoE Training for Multitask Multilingual Models—0
Scalable Multi-Domain Adaptation of Language Models using Modular Experts—0
Scalable Neural Data Server: A Data Recommender for Transfer Learning—0
Scaling and Enhancing LLM-based AVSR: A Sparse Mixture of Projectors Approach—0
Scaling Intelligence: Designing Data Centers for Next-Gen Language Models—0
Scaling Laws Across Model Architectures: A Comparative Analysis of Dense and MoE Models in Large Language Models—0
Scaling Laws for Native Multimodal Models Scaling Laws for Native Multimodal Models—0
Scaling Vision-Language Models with Sparse Mixture of Experts—0
SCFCRC: Simultaneously Counteract Feature Camouflage and Relation Camouflage for Fraud Detection—0
SciDFM: A Large Language Model with Mixture-of-Experts for Science—0
SC-MoE: Switch Conformer Mixture of Experts for Unified Streaming and Non-streaming Code-Switching ASR—0
Security Assessment of DeepSeek and GPT Series Models against Jailbreak Attacks—0
Seed1.5-Thinking: Advancing Superb Reasoning Models with Reinforcement Learning—0
Seed1.5-VL Technical Report—0
Seeing the Unseen: How EMoE Unveils Bias in Text-to-Image Diffusion Models—0
SEER-MoE: Sparse Expert Efficiency through Regularization for Mixture-of-Experts—0
Self-tuned Visual Subclass Learning with Shared Samples An Incremental Approach—0
Semantic-Aware Dynamic Parameter for Video Inpainting Transformer—0
Probing Semantic Routing in Large Mixture-of-Expert Models—0
SemEval-2025 Task 1: AdMIRe -- Advancing Multimodal Idiomaticity Representation—0
MoESys: A Distributed and Efficient Mixture-of-Experts Training and Inference System for Internet Services—0
Serving Large Language Models on Huawei CloudMatrix384—0
SwapMoE: Serving Off-the-shelf MoE-based Large Language Models with Tunable Memory Budget—0
Shortcut-connected Expert Parallelism for Accelerating Mixture-of-Experts—0
Sigmoid Gating is More Sample Efficient than Softmax Gating in Mixture of Experts—0
Sigmoid Self-Attention has Lower Sample Complexity than Softmax Self-Attention: A Mixture-of-Experts Perspective—0
Simple or Complex? Complexity-Controllable Question Generation with Soft Templates and Deep Mixture of Experts Model—0
SimSMoE: Solving Representational Collapse via Similarity Measure—0
Simultaneous Feature and Expert Selection within Mixture of Experts—0
Single-Example Learning in a Mixture of GPDMs with Latent Geometries—0
SkillNet-X: A Multilingual Multitask Model with Sparsely Activated Skills—0
SMAR: Soft Modality-Aware Routing Strategy for MoE-based Multimodal Large Language Models Preserving Language Capabilities—0
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