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Mixture-of-Experts

Papers

Showing 101125 of 1312 papers

TitleStatusHype
Mixture of Tokens: Continuous MoE through Cross-Example AggregationCode2
Harder Tasks Need More Experts: Dynamic Routing in MoE ModelsCode2
MoEUT: Mixture-of-Experts Universal TransformersCode2
CLIP-MoE: Towards Building Mixture of Experts for CLIP with Diversified Multiplet UpcyclingCode2
MiniDrive: More Efficient Vision-Language Models with Multi-Level 2D Features as Text Tokens for Autonomous DrivingCode2
QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter ModelsCode2
Flex-MoE: Modeling Arbitrary Modality Combination via the Flexible Mixture-of-ExpertsCode2
A Closer Look into Mixture-of-Experts in Large Language ModelsCode2
MDFEND: Multi-domain Fake News DetectionCode2
Mixture of A Million ExpertsCode2
LoRA-IR: Taming Low-Rank Experts for Efficient All-in-One Image RestorationCode2
Fast Feedforward NetworksCode2
LLaMA-MoE v2: Exploring Sparsity of LLaMA from Perspective of Mixture-of-Experts with Post-TrainingCode2
SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language ModelsCode2
Make LoRA Great Again: Boosting LoRA with Adaptive Singular Values and Mixture-of-Experts Optimization AlignmentCode2
LiMoE: Mixture of LiDAR Representation Learners from Automotive ScenesCode2
Linear-MoE: Linear Sequence Modeling Meets Mixture-of-ExpertsCode2
Switch Diffusion Transformer: Synergizing Denoising Tasks with Sparse Mixture-of-ExpertsCode2
CNMBERT: A Model for Converting Hanyu Pinyin Abbreviations to Chinese CharactersCode2
Higher Layers Need More LoRA ExpertsCode2
MC-MoE: Mixture Compressor for Mixture-of-Experts LLMs Gains MoreCode2
Text2Human: Text-Driven Controllable Human Image GenerationCode2
Learning A Sparse Transformer Network for Effective Image DerainingCode2
Aurora:Activating Chinese chat capability for Mixtral-8x7B sparse Mixture-of-Experts through Instruction-TuningCode2
Mixture of Lookup ExpertsCode2
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