mixture of expert

Beyond Spurious Signals: Debiasing Multimodal Large Language Models via Counterfactual Inference and Adaptive Expert Routing EMNLP 2025 BigMac: A Communication-Efficient Mixture-of-Experts Model Structure for Fast Training and Inference AAAI 2025 Bi-Tuning with Collaborative Information for Controllable LLM-based Sequential Recommendation ACL 2025 Blend the Separated: Mixture of Synergistic Experts for Data-Scarcity Drug-Target Interaction Prediction AAAI 2025 BrainMAP: Learning Multiple Activation Pathways in Brain Networks AAAI 2025 Bridging Perception and Action: Spatially-Grounded Mid-Level Representations for Robot Generalization RSS 2025 BTW: A Non-Parametric Variance Stabilization Framework for Multimodal Model Integration EMNLP 2025 CartesianMoE: Boosting Knowledge Sharing among Experts via Cartesian Product Routing in Mixture-of-Experts NAACL 2025 ChartMoE: Mixture of Diversely Aligned Expert Connector for Chart Understanding ICLR 2025 City-Level Foreign Direct Investment Prediction with Tabular Learning on Judicial Data IJCAI 2025 CLIP-MoE: Towards Building Mixture of Experts for CLIP with Diversified Multiplet Upcycling EMNLP 2025 CLIP-UP: A Simple and Efficient Mixture-of-Experts CLIP Training Recipe with Sparse Upcycling EMNLP 2025 CL-MoE: Enhancing Multimodal Large Language Model with Dual Momentum Mixture-of-Experts for Continual Visual Question Answering CVPR 2025 COME: Dual Structure-Semantic Learning with Collaborative MoE for Universal Lesion Detection Across Heterogeneous Ultrasound Datasets ICCV 2025 Complexity Experts are Task-Discriminative Learners for Any Image Restoration CVPR 2025 Connector-S: A Survey of Connectors in Multi-modal Large Language Models IJCAI 2025 Controllable-LPMoE: Adapting to Challenging Object Segmentation via Dynamic Local Priors from Mixture-of-Experts ICCV 2025 Correlative and Discriminative Label Grouping for Multi-Label Visual Prompt Tuning CVPR 2025 Cross-lingual Social Misinformation Detector based on Hierarchical Mixture-of-Experts Adapter COLING 2025 Cross-MoE: An Efficient Temporal Prediction Framework Integrating Textual Modality EMNLP 2025 DeMo: Decoupled Feature-Based Mixture of Experts for Multi-Modal Object Re-Identification AAAI 2025 Demons in the Detail: On Implementing Load Balancing Loss for Training Specialized Mixture-of-Expert Models ACL 2025 Dense2MoE: Restructuring Diffusion Transformer to MoE for Efficient Text-to-Image Generation ICCV 2025 dFLMoE: Decentralized Federated Learning via Mixture of Experts for Medical Data Analysis CVPR 2025 DHMoE: Diffusion Generated Hierarchical Multi-Granular Expertise for Stock Prediction AAAI 2025