Model Merging

ACE-Merging: Data-Free Model Merging with Adaptive Covariance Estimation CVPR 2026 A Data-Efficient Path to Multilingual LLMs: Language Expansion via Post-training PARAM𝛥 Integration into Upcycled MoE ACL 2026 Align When They Want, Complement When They Need! Human-Centered Ensembles for Adaptive Human-AI Collaboration AAAI 2026 Authority Backdoor: A Certifiable Backdoor Mechanism for Authoring DNNs AAAI 2026 Behavior Knowledge Merge in Reinforced Agentic Models ACL 2026 Behavior Tokens Speak Louder: Disentangled Explainable Recommendation with Behavior Vocabulary AAAI 2026 Benchmarking Direct Preference Optimization for Medical Large Vision–Language Models EACL 2026 BILLY: Steering Large Language Models via Merging Persona Vectors for Creative Generation EACL 2026 Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach AAAI 2026 CasMoE: A Cascaded Framework for Efficient MoE Inference on Resource-constrained Devices AAAI 2026 Completely Modular Fine-tuning for Dynamic Language Adaptation EACL 2026 Deep Model Reuse: Paving the Way for Efficient and Generalizable AI Systems AAAI 2026 Deploying Atmospheric and Oceanic AI Models on Chinese Hardware and Framework: Migration Strategies, Performance Optimization and Analysis AAAI 2026 DivMerge: A divergence-based model merging method for multi-tasking EACL 2026 Do Not Merge My Model! Safeguarding Open-Source LLMs Against Unauthorized Model Merging AAAI 2026 Don’t Start Over: A Cost-Effective Framework for Migrating Personalized Prompts Between LLMs AAAI 2026 Efficient Multimodal Large Language Model via Dynamic KV Cache Quantization AAAI 2026 Efficient Switchable Safety Control in LLMs via Magic-Token-Guided Co-Training AAAI 2026 Escaping Optimization Stagnation: Taking Steps Beyond Task Arithmetic via Difference Vectors AAAI 2026 FedMerge: Federated Model Merging for Personalization AAAI 2026 FedReFT: Federated Representation Fine-Tuning with All-But-Me Aggregation EACL 2026 From Parameter to Representation: A Closed-Form Approach for Controllable Model Merging AAAI 2026 Generalizable and Efficient Automated Scoring with a Knowledge-Distilled Multi-Task Mixture-of-Experts AAAI 2026 GLOBA: Rethinking Parameter Conflicts in Model Merging AAAI 2026 Guided Model Merging for Hybrid Data Learning: Leveraging Centralized Data to Refine Decentralized Models WACV 2026