{"total":15,"rows":[{"id":"2410.10814","title":"Your Mixture-of-Experts LLM Is Secretly an Embedding Model For Free","created":"2024-10-14","cited_by_count":37,"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":"2409.19291","title":"CLIP-MoE: Towards Building Mixture of Experts for CLIP with Diversified Multiplet Upcycling","created":"2024-09-28","cited_by_count":23,"area":"moe"},{"id":"2501.04004","title":"LiMoE: Mixture of LiDAR Representation Learners from Automotive Scenes","created":"2025-01-07","cited_by_count":19,"area":"moe"},{"id":"2312.10868","title":"From Google Gemini to OpenAI Q* (Q-Star): A Survey of Reshaping the Generative Artificial Intelligence (AI) Research Landscape","created":"2023-12-18","cited_by_count":18,"area":"moe"},{"id":"2402.05382","title":"Task-customized Masked AutoEncoder via Mixture of Cluster-conditional Experts","created":"2024-02-08","cited_by_count":16,"area":"moe"},{"id":"2504.03166","title":"RingMoE: Mixture-of-Modality-Experts Multi-Modal Foundation Models for Universal Remote Sensing Image Interpretation","created":"2025-04-04","cited_by_count":16,"area":"moe"},{"id":"2510.25803","title":"Mixture-of-Experts Operator Transformer for Large-Scale PDE Pre-Training","created":"2025-10-29","cited_by_count":14,"area":"moe"},{"id":"2303.13739","title":"WM-MoE: Weather-aware Multi-scale Mixture-of-Experts for Blind Adverse Weather Removal","created":"2023-03-24","cited_by_count":11,"area":"moe"},{"id":"2410.14574","title":"MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts","created":"2024-10-18","cited_by_count":9,"area":"moe"},{"id":"2506.05426","title":"Mixture-of-Experts Meets In-Context Reinforcement Learning","created":"2025-06-05","cited_by_count":8,"area":"moe"},{"id":"2311.14747","title":"HOPE: A Memory-Based and Composition-Aware Framework for Zero-Shot Learning with Hopfield Network and Soft Mixture of Experts","created":"2023-11-23","cited_by_count":3,"area":"moe"},{"id":"2410.23736","title":"Modality and Task Adaptation for Enhanced Zero-shot Composed Image Retrieval","created":"2024-10-31","cited_by_count":2,"area":"moe"},{"id":"2408.15305","title":"Parameter-Efficient Quantized Mixture-of-Experts Meets Vision-Language Instruction Tuning for Semiconductor Electron Micrograph Analysis","created":"2024-08-27","cited_by_count":1,"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"}],"next_cursor":null}