Model Merging

Improving Training Efficiency and Reducing Maintenance Costs via Language Specific Model Merging EACL 2026 K-Merge: Online Continual Merging of Adapters for On-device Large Language Models ACL 2026 LLM Plug-ins Are Not a Free Lunch for Clinical Time-Series Prediction EACL 2026 LM-Lexicon: Improving Definition Modeling via Harmonizing Semantic Experts EACL 2026 Low-Rank Expert Merging for Multi-Source Domain Adaptation in Person Re-Identification WACV 2026 Luth: Efficient French Specialization for Small Language Models and Cross-Lingual Transfer EACL 2026 MedSAMix: A Training-Free Model Merging Approach for Medical Image Segmentation AAAI 2026 MergeSlide: Continual Model Merging and Task-to-Class Prompt-Aligned Inference for Lifelong Learning on Whole Slide Images WACV 2026 M-Loss: Quantifying Model Merging Compatibility with Limited Unlabeled Data AAAI 2026 MTA:A Merge-then-Adapt Framework for Personalized Large Language Models ACL 2026 Outlier Matters: Efficient Long-to-Short Reasoning via Outlier-Guided Model Merging AAAI 2026 Parameter Merging with Gradient-Guided Supermasks in Online Continual Learning AAAI 2026 PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models EACL 2026 Preference-Aligned LoRA Merging: Preserving Subspace Coverage and Addressing Directional Anisotropy CVPR 2026 PSEO: Optimizing Post-hoc Stacking Ensemble Through Hyperparameter Tuning AAAI 2026 Put the Space of LoRA Initialization to the Extreme to Preserve Pre-trained Knowledge AAAI 2026 RCP-Merging: Merging Long Chain-of-Thought Models with Domain-Specific Models by Considering Reasoning Capability as Prior AAAI 2026 RecCocktail: A Generalizable and Efficient Framework for LLM-Based Recommendation AAAI 2026 Revisiting Model Interpolation for Efficient Reasoning ACL 2026 SafeSieve: From Heuristics to Experience in Progressive Pruning for LLM-based Multi-Agent Communication AAAI 2026 Sliding-Window Merging for Compacting Patch-Redundant Layers in LLMs AAAI 2026 SparseRM: A Lightweight Preference Modeling with Sparse Autoencoder AAAI 2026 Symphony-MoE: Harmonizing Disparate Pre-trained Models into a Coherent Mixture-of-Experts AAAI 2026 Uncovering and Mitigating Transient Blindness in Multimodal Model Editing AAAI 2026 Why Do More Experts Fail? A Theoretical Analysis of Model Merging ACL 2026