Model Merging
592 papers
Papers per year
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1
1
1
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1
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3
14
11
30
30
36
57
139
213
50
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Papers
Less is More: Efficient Model Merging with Binary Task Switch
CVPR 2025
Leveraging Submodule Linearity Enhances Task Arithmetic Performance in LLMs
ICLR 2025
Linear Mode Connectivity in Differentiable Tree Ensembles
ICLR 2025
LiNeS: Post-training Layer Scaling Prevents Forgetting and Enhances Model Merging
ICLR 2025
LlamaDuo: LLMOps Pipeline for Seamless Migration from Service LLMs to Small-Scale Local LLMs
ACL 2025
Locate-then-Merge: Neuron-Level Parameter Fusion for Mitigating Catastrophic Forgetting in Multimodal LLMs
EMNLP 2025
LoRACLR: Contrastive Adaptation for Customization of Diffusion Models
CVPR 2025
LoRA.rar: Learning to Merge LoRAs via Hypernetworks for Subject-Style Conditioned Image Generation
ICCV 2025
LoRA Recycle: Unlocking Tuning-Free Few-Shot Adaptability in Visual Foundation Models by Recycling Pre-Tuned LoRAs
CVPR 2025
LoRA Soups: Merging LoRAs for Practical Skill Composition Tasks
COLING 2025
LoRE-Merging: Exploring Low-Rank Estimation For Large Language Model Merging
EMNLP 2025
MAP: Low-compute Model Merging with Amortized Pareto Fronts via Quadratic Approximation
ICLR 2025
Mastering Task Arithmetic: τJp as a Key Indicator for Weight Disentanglement
ICLR 2025
Measuring What Matters: Evaluating Ensemble LLMs with Label Refinement in Inductive Coding
ACL 2025
MergeME: Model Merging Techniques for Homogeneous and Heterogeneous MoEs
NAACL 2025
Mergenetic: a Simple Evolutionary Model Merging Library
ACL 2025
MergeNet: Knowledge Migration Across Heterogeneous Models, Tasks, and Modalities
AAAI 2025
Merger-as-a-Stealer: Stealing Targeted PII from Aligned LLMs with Model Merging
EMNLP 2025
Merge then Realign: Simple and Effective Modality-Incremental Continual Learning for Multimodal LLMs
EMNLP 2025
Merging LoRAs like Playing LEGO: Pushing the Modularity of LoRA to Extremes Through Rank-Wise Clustering
ICLR 2025
MindBridge: Scalable and Cross-Model Knowledge Editing via Memory-Augmented Modality
ACL 2025
Minimal Variance Model Aggregation: A principled, non-intrusive, and versatile integration of black box models
ICLR 2025
Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning
ICLR 2025
Mitigating the Backdoor Effect for Multi-Task Model Merging via Safety-Aware Subspace
ICLR 2025
MMA: Cross-Domain Knowledge Integration via Mixture of Multi-Domain Agents
EMNLP 2025