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Mixture-of-Experts

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Showing 76–100 of 1312 papers

TitleStatusHype
Object Detection using Event Camera: A MoE Heat Conduction based Detector and A New Benchmark DatasetCode2
Monet: Mixture of Monosemantic Experts for TransformersCode2
LLaMA-MoE v2: Exploring Sparsity of LLaMA from Perspective of Mixture-of-Experts with Post-TrainingCode2
CNMBERT: A Model for Converting Hanyu Pinyin Abbreviations to Chinese CharactersCode2
SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language ModelsCode2
LoRA-IR: Taming Low-Rank Experts for Efficient All-in-One Image RestorationCode2
Efficiently Democratizing Medical LLMs for 50 Languages via a Mixture of Language Family ExpertsCode2
Your Mixture-of-Experts LLM Is Secretly an Embedding Model For FreeCode2
Flex-MoE: Modeling Arbitrary Modality Combination via the Flexible Mixture-of-ExpertsCode2
MC-MoE: Mixture Compressor for Mixture-of-Experts LLMs Gains MoreCode2
Open-RAG: Enhanced Retrieval-Augmented Reasoning with Open-Source Large Language ModelsCode2
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
KAN4TSF: Are KAN and KAN-based models Effective for Time Series Forecasting?Code2
Mixture of A Million ExpertsCode2
A Closer Look into Mixture-of-Experts in Large Language ModelsCode2
MoE Jetpack: From Dense Checkpoints to Adaptive Mixture of Experts for Vision TasksCode2
Demystifying the Compression of Mixture-of-Experts Through a Unified FrameworkCode2
Yuan 2.0-M32: Mixture of Experts with Attention RouterCode2
XTrack: Multimodal Training Boosts RGB-X Video Object TrackersCode2
Decomposing the Neurons: Activation Sparsity via Mixture of Experts for Continual Test Time AdaptationCode2
MoEUT: Mixture-of-Experts Universal TransformersCode2
Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer ModelsCode2
xRAG: Extreme Context Compression for Retrieval-augmented Generation with One TokenCode2
CuMo: Scaling Multimodal LLM with Co-Upcycled Mixture-of-ExpertsCode2
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