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Mixture-of-Experts

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Showing 776–800 of 1312 papers

TitleStatusHype
Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM—0
Equipping Computational Pathology Systems with Artifact Processing Pipelines: A Showcase for Computation and Performance Trade-offsCode0
MoAI: Mixture of All Intelligence for Large Language and Vision ModelsCode3
Acquiring Diverse Skills using Curriculum Reinforcement Learning with Mixture of Experts—0
Unity by Diversity: Improved Representation Learning in Multimodal VAEsCode1
MMoE: Robust Spoiler Detection with Multi-modal Information and Domain-aware Mixture-of-Experts—0
ConstitutionalExperts: Training a Mixture of Principle-based Prompts—0
Video Relationship Detection Using Mixture of ExpertsCode0
Mixture-of-LoRAs: An Efficient Multitask Tuning for Large Language Models—0
TESTAM: A Time-Enhanced Spatio-Temporal Attention Model with Mixture of ExpertsCode2
Vanilla Transformers are Transfer Capability Teachers—0
How does Architecture Influence the Base Capabilities of Pre-trained Language Models? A Case Study Based on FFN-Wider and MoE Transformers—0
Rethinking LLM Language Adaptation: A Case Study on Chinese MixtralCode5
Hypertext Entity Extraction in Webpage—0
DMoERM: Recipes of Mixture-of-Experts for Effective Reward ModelingCode1
Enhancing the "Immunity" of Mixture-of-Experts Networks for Adversarial Defense—0
Sequence-level Semantic Representation Fusion for Recommender SystemsCode1
XMoE: Sparse Models with Fine-grained and Adaptive Expert SelectionCode1
An Effective Mixture-Of-Experts Approach For Code-Switching Speech Recognition Leveraging Encoder Disentanglement—0
m2mKD: Module-to-Module Knowledge Distillation for Modular TransformersCode0
ASEM: Enhancing Empathy in Chatbot through Attention-based Sentiment and Emotion ModelingCode0
Co-Supervised Learning: Improving Weak-to-Strong Generalization with Hierarchical Mixture of ExpertsCode0
PEMT: Multi-Task Correlation Guided Mixture-of-Experts Enables Parameter-Efficient Transfer Learning—0
LLMBind: A Unified Modality-Task Integration FrameworkCode1
Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language ModelsCode2
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