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Mixture-of-Experts

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Showing 376–400 of 1312 papers

TitleStatusHype
Two Is Better Than One: Rotations Scale LoRAs—0
Revisiting Uncertainty Estimation and Calibration of Large Language Models—0
Noise-Robustness Through Noise: Asymmetric LoRA Adaption with Poisoning Expert—0
A Survey of Generative Categories and Techniques in Multimodal Large Language Models—0
Point-MoE: Towards Cross-Domain Generalization in 3D Semantic Segmentation via Mixture-of-Experts—0
A Human-Centric Approach to Explainable AI for Personalized EducationCode0
Advancing Expert Specialization for Better MoE—0
EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models—0
ForceVLA: Enhancing VLA Models with a Force-aware MoE for Contact-rich Manipulation—0
MoE-Gyro: Self-Supervised Over-Range Reconstruction and Denoising for MEMS Gyroscopes—0
Mosaic: Data-Free Knowledge Distillation via Mixture-of-Experts for Heterogeneous Distributed EnvironmentsCode0
MoESD: Unveil Speculative Decoding's Potential for Accelerating Sparse MoE—0
NEXT: Multi-Grained Mixture of Experts via Text-Modulation for Multi-Modal Object Re-ID—0
Rethinking Gating Mechanism in Sparse MoE: Handling Arbitrary Modality Inputs with Confidence-Guided GateCode0
RankLLM: A Python Package for Reranking with LLMs—0
Integrating Dynamical Systems Learning with Foundational Models: A Meta-Evolutionary AI Framework for Clinical Trials—0
μ-MoE: Test-Time Pruning as Micro-Grained Mixture-of-Experts—0
On Minimax Estimation of Parameters in Softmax-Contaminated Mixture of Experts—0
Guiding the Experts: Semantic Priors for Efficient and Focused MoE RoutingCode0
Mod-Adapter: Tuning-Free and Versatile Multi-concept Personalization via Modulation Adapter—0
TrajMoE: Spatially-Aware Mixture of Experts for Unified Human Mobility Modeling—0
EvidenceMoE: A Physics-Guided Mixture-of-Experts with Evidential Critics for Advancing Fluorescence Light Detection and Ranging in Scattering Media—0
DualComp: End-to-End Learning of a Unified Dual-Modality Lossless Compressor—0
DriveMoE: Mixture-of-Experts for Vision-Language-Action Model in End-to-End Autonomous Driving—0
Time Tracker: Mixture-of-Experts-Enhanced Foundation Time Series Forecasting Model with Decoupled Training Pipelines—0
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