expert model

DiffGraph: An Automated Agent-driven Model Merging Framework for In-the-Wild Text-to-Image Generation CVPR 2026 MergeME: Model Merging Techniques for Homogeneous and Heterogeneous MoEs NAACL 2025 Pruning General Large Language Models into Customized Expert Models ACL 2025 Selecting and Merging: Towards Adaptable and Scalable Named Entity Recognition with Large Language Models ACL 2025 Split-Merge: Scalable and Memory-Efficient Merging of Expert LLMs EMNLP 2025 Transforming Podcast Preview Generation: From Expert Models to LLM-Based Systems ACL 2025 An Expert is Worth One Token: Synergizing Multiple Expert LLMs as Generalist via Expert Token Routing ACL 2024 Breaking Long-Tailed Learning Bottlenecks: A Controllable Paradigm with Hypernetwork-Generated Diverse Experts NeurIPS 2024 Breaking the Curse of Multilinguality with Cross-lingual Expert Language Models EMNLP 2024 Learning to Route Among Specialized Experts for Zero-Shot Generalization ICML 2024 LFME: A Simple Framework for Learning from Multiple Experts in Domain Generalization NeurIPS 2024 Batch Model Consolidation: A Multi-Task Model Consolidation Framework CVPR 2023 Exploring the Benefits of Training Expert Language Models over Instruction Tuning ICML 2023 Investigating the Effectiveness of Multiple Expert Models Collaboration EMNLP 2023 Synthetic Model Combination: An Instance-wise Approach to Unsupervised Ensemble Learning NeurIPS 2022 Scalable Transfer Learning with Expert Models ICLR 2021