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Mixture-of-Experts

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Showing 901–925 of 1312 papers

TitleStatusHype
BadMoE: Backdooring Mixture-of-Experts LLMs via Optimizing Routing Triggers and Infecting Dormant Experts—0
Balanced and Elastic End-to-end Training of Dynamic LLMs—0
BAM! Just Like That: Simple and Efficient Parameter Upcycling for Mixture of Experts—0
Bayesian Hierarchical Mixtures of Experts—0
Bayesian shrinkage in mixture of experts models: Identifying robust determinants of class membership—0
Beyond Distillation: Task-level Mixture-of-Experts for Efficient Inference—0
Beyond Parameter Count: Implicit Bias in Soft Mixture of Experts—0
Beyond Standard MoE: Mixture of Latent Experts for Resource-Efficient Language Models—0
Biased Mixtures Of Experts: Enabling Computer Vision Inference Under Data Transfer Limitations—0
BigMac: A Communication-Efficient Mixture-of-Experts Model Structure for Fast Training and Inference—0
BiPrompt-SAM: Enhancing Image Segmentation via Explicit Selection between Point and Text Prompts—0
BLR-MoE: Boosted Language-Routing Mixture of Experts for Domain-Robust Multilingual E2E ASR—0
Boosting Code-Switching ASR with Mixture of Experts Enhanced Speech-Conditioned LLM—0
Boost Your NeRF: A Model-Agnostic Mixture of Experts Framework for High Quality and Efficient Rendering—0
Brain-Like Processing Pathways Form in Models With Heterogeneous Experts—0
BrainNet-MoE: Brain-Inspired Mixture-of-Experts Learning for Neurological Disease Identification—0
Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM—0
Breaking Data Silos: Towards Open and Scalable Mobility Foundation Models via Generative Continual Learning—0
Approximation Rates and VC-Dimension Bounds for (P)ReLU MLP Mixture of Experts—0
Breaking the gridlock in Mixture-of-Experts: Consistent and Efficient Algorithms—0
Handling Trade-Offs in Speech Separation with Sparsely-Gated Mixture of Experts—0
Brief analysis of DeepSeek R1 and it's implications for Generative AI—0
Buffer Overflow in Mixture of Experts—0
Building a great multi-lingual teacher with sparsely-gated mixture of experts for speech recognition—0
CAME: Competitively Learning a Mixture-of-Experts Model for First-stage Retrieval—0
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