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Model Merging

552 directly classified papers

Papers per year

Papers

Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach AAAI 2026

Deploying Atmospheric and Oceanic AI Models on Chinese Hardware and Framework: Migration Strategies, Performance Optimization and Analysis AAAI 2026

Luth: Efficient French Specialization for Small Language Models and Cross-Lingual Transfer EACL 2026

Authority Backdoor: A Certifiable Backdoor Mechanism for Authoring DNNs AAAI 2026

Symphony-MoE: Harmonizing Disparate Pre-trained Models into a Coherent Mixture-of-Experts AAAI 2026

Deep Model Reuse: Paving the Way for Efficient and Generalizable AI Systems AAAI 2026

Guided Model Merging for Hybrid Data Learning: Leveraging Centralized Data to Refine Decentralized Models WACV 2026

PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models EACL 2026

Benchmarking Direct Preference Optimization for Medical Large Vision–Language Models EACL 2026

FedReFT: Federated Representation Fine-Tuning with All-But-Me Aggregation EACL 2026

Parameter Merging with Gradient-Guided Supermasks in Online Continual Learning AAAI 2026

Escaping Optimization Stagnation: Taking Steps Beyond Task Arithmetic via Difference Vectors AAAI 2026

From Parameter to Representation: A Closed-Form Approach for Controllable Model Merging AAAI 2026

PSEO: Optimizing Post-hoc Stacking Ensemble Through Hyperparameter Tuning AAAI 2026

MergeSlide: Continual Model Merging and Task-to-Class Prompt-Aligned Inference for Lifelong Learning on Whole Slide Images WACV 2026

Low-Rank Expert Merging for Multi-Source Domain Adaptation in Person Re-Identification WACV 2026

LM-Lexicon: Improving Definition Modeling via Harmonizing Semantic Experts EACL 2026

BILLY: Steering Large Language Models via Merging Persona Vectors for Creative Generation EACL 2026

Improving Training Efficiency and Reducing Maintenance Costs via Language Specific Model Merging EACL 2026

Completely Modular Fine-tuning for Dynamic Language Adaptation EACL 2026

LLM Plug-ins Are Not a Free Lunch for Clinical Time-Series Prediction EACL 2026

DivMerge: A divergence-based model merging method for multi-tasking EACL 2026

FedMerge: Federated Model Merging for Personalization AAAI 2026

GLOBA: Rethinking Parameter Conflicts in Model Merging AAAI 2026

RecCocktail: A Generalizable and Efficient Framework for LLM-Based Recommendation AAAI 2026