{"total":26,"rows":[{"id":"2509.23951","title":"HunyuanImage 3.0 Technical Report","created":"2025-09-28","cited_by_count":149,"area":"moe"},{"id":"2410.11842","title":"MoH: Multi-Head Attention as Mixture-of-Head Attention","created":"2024-10-15","cited_by_count":44,"area":"moe"},{"id":"2603.03276","title":"Beyond Language Modeling: An Exploration of Multimodal Pretraining","created":"2026-03-03","cited_by_count":37,"area":"moe"},{"id":"2402.15505","title":"Co-Supervised Learning: Improving Weak-to-Strong Generalization with Hierarchical Mixture of Experts","created":"2024-02-23","cited_by_count":28,"area":"moe"},{"id":"2405.09446","title":"M$^4$oE: A Foundation Model for Medical Multimodal Image Segmentation with Mixture of Experts","created":"2024-05-15","cited_by_count":26,"area":"moe"},{"id":"2403.20022","title":"Psychometry: An Omnifit Model for Image Reconstruction from Human Brain Activity","created":"2024-03-29","cited_by_count":22,"area":"moe"},{"id":"2508.02317","title":"VeOmni: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo","created":"2025-08-04","cited_by_count":20,"area":"moe"},{"id":"2507.04631","title":"Learning Robust Stereo Matching in the Wild with Selective Mixture-of-Experts","created":"2025-07-07","cited_by_count":14,"area":"moe"},{"id":"2309.03904","title":"Exploring Sparse MoE in GANs for Text-conditioned Image Synthesis","created":"2023-09-07","cited_by_count":13,"area":"moe"},{"id":"2505.15946","title":"MoRE-Brain: Routed Mixture of Experts for Interpretable and Generalizable Cross-Subject fMRI Visual Decoding","created":"2025-05-21","cited_by_count":7,"area":"moe"},{"id":"2512.01252","title":"Efficient Training of Diffusion Mixture-of-Experts Models: A Practical Recipe","created":"2025-12-01","cited_by_count":7,"area":"moe"},{"id":"2508.02165","title":"Subject or Style: Adaptive and Training-Free Mixture of LoRAs","created":"2025-08-04","cited_by_count":5,"area":"moe"},{"id":"2410.23836","title":"Stereo-Talker: Audio-driven 3D Human Synthesis with Prior-Guided Mixture-of-Experts","created":"2024-10-31","cited_by_count":4,"area":"moe"},{"id":"2503.22517","title":"Exploiting Mixture-of-Experts Redundancy Unlocks Multimodal Generative Abilities","created":"2025-03-28","cited_by_count":3,"area":"moe"},{"id":"2605.20179","title":"TIDE: Efficient and Lossless MoE Diffusion LLM Inference with I/O-aware Expert Offload","created":"2026-05-19","cited_by_count":2,"area":"moe"},{"id":"2605.30876","title":"dMoE: dLLMs with Learnable Block Experts","created":"2026-05-29","cited_by_count":2,"area":"moe"},{"id":"2507.13107","title":"R^2MoE: Redundancy-Removal Mixture of Experts for Lifelong Concept Learning","created":"2025-07-17","cited_by_count":1,"area":"moe"},{"id":"2604.04348","title":"OmniSonic: Towards Universal and Holistic Audio Generation from Video and Text","created":"2026-04-06","cited_by_count":1,"area":"moe"},{"id":"2412.17009","title":"Expert Routing with Synthetic Data for Continual Learning","created":"2024-12-22","cited_by_count":0,"area":"moe"},{"id":"2605.05891","title":"MTL-MAD: Multi-Task Learners are Effective Medical Anomaly Detectors","created":"2026-05-07","cited_by_count":0,"area":"moe"},{"id":"2605.24993","title":"NeurIPS: Neuro-anatomical Inductive Priors for Sphere-based Brain Decoding","created":"2026-05-24","cited_by_count":0,"area":"moe"},{"id":"2607.00293","title":"Rosetta: Composable Native Multimodal Pretraining","created":"2026-07-01","cited_by_count":0,"area":"moe"},{"id":"2607.00371","title":"MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts","created":"2026-07-01","cited_by_count":0,"area":"moe"},{"id":"2607.04360","title":"Optimal Mixture-of-Experts Model Averaging for Conditional Generative Models","created":"2026-07-05","cited_by_count":0,"area":"moe"},{"id":"2608.28302","title":"FUSED: Forensic-Semantic Mixture-of-Experts for AI Inpainting Detection and Localization","created":"2026-08-28","cited_by_count":0,"area":"moe"},{"id":"2609.26061","title":"TopoCompress: Topology Aware Token Compression Algorithm for Distributed Edge MoE Inference","created":"2026-08-01","cited_by_count":0,"area":"moe"}],"next_cursor":null}