Model Merging
37 papers
Papers per year
1
3
9
24
'25
Papers
ACE-Merging: Data-Free Model Merging with Adaptive Covariance Estimation
CVPR 2026
BD-Merging: Bias-Aware Dynamic Model Merging with Evidence-Guided Contrastive Learning
CVPR 2026
Beyond Layer-Wise Merging: Chain-of-Merging for Vision-Language Models
CVPR 2026
Bridging Domains through Subspace-Aware Model Merging
CVPR 2026
DC-Merge: Improving Model Merging with Directional Consistency
CVPR 2026
Defending Unauthorized Model Merging via Dual-Stage Weight Protection
CVPR 2026
DiffGraph: An Automated Agent-driven Model Merging Framework for In-the-Wild Text-to-Image Generation
CVPR 2026
DuetMerging: Synergizing Dynamic and Static Strategies for Mitigating Task Interference in Model Merging
CVPR 2026
Evolutionary Negative Module Pruning for Better LoRA Merging
ACL 2026
Globscope: Toward a Global View of the Loss Landscape
CVPR 2026
Investigating Cross-Modal Skill Injection: Scenarios, Methods, and Hyperparameters
ACL 2026
Label-Free Cross-Task LoRA Merging with Null-Space Compression
CVPR 2026
MapReduce LoRA: Advancing the Pareto Front in Multi-Preference Optimization for Generative Models
CVPR 2026
MergeVLA: Cross-Skill Model Merging Toward a Generalist Vision-Language-Action Agent
CVPR 2026
Model Merging as Probabilistic Inference in Fine-Tuning Parameter Space
UAI 2026
Model Merging in the Essential Subspace
CVPR 2026
Model Merging is Secretly Certifiable: Non-Vacuous Generalisation Bounds for Low-Shot Learning
UAI 2026
Nature-Inspired Population-Based Evolution of Large Language Models
ACL 2026
OrthoFuse: Training-free Riemannian Fusion of Orthogonal Style-Concept Adapters for Diffusion Models
CVPR 2026
Practical Guidelines for Model Merging in LLMs Pre-Training
ACL 2026
Preference-Aligned LoRA Merging: Preserving Subspace Coverage and Addressing Directional Anisotropy
CVPR 2026
ReasonAny: Incorporating Reasoning Capability to Any Model via Simple and Effective Model Merging
ACL 2026
Understanding and Enforcing Weight Disentanglement in Task Arithmetic
CVPR 2026
Why Do More Experts Fail? A Theoretical Analysis of Model Merging
ACL 2026
A Modular Approach for Clinical SLMs Driven by Synthetic Data with Pre-Instruction Tuning, Model Merging, and Clinical-Tasks Alignment
ACL 2025