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Model Merging

558 papers

Papers per year

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Papers

PLeaS - Merging Models with Permutations and Least Squares CVPR 2025
LoRA Recycle: Unlocking Tuning-Free Few-Shot Adaptability in Visual Foundation Models by Recycling Pre-Tuned LoRAs CVPR 2025
Adapter Merging with Centroid Prototype Mapping for Scalable Class-Incremental Learning CVPR 2025
IterIS: Iterative Inference-Solving Alignment for LoRA Merging CVPR 2025
Less is More: Efficient Model Merging with Binary Task Switch CVPR 2025
How to Merge Your Multimodal Models Over Time? CVPR 2025
AdaMMS: Model Merging for Heterogeneous Multimodal Large Language Models with Unsupervised Coefficient Optimization CVPR 2025
A Systematic Analysis of Base Model Choice for Reward Modeling EMNLP 2025
Efficient Model Development through Fine-tuning Transfer EMNLP 2025
AROMA: Autonomous Rank-one Matrix Adaptation EMNLP 2025
Superpose Task-specific Features for Model Merging EMNLP 2025
Merger-as-a-Stealer: Stealing Targeted PII from Aligned LLMs with Model Merging EMNLP 2025
Superficial Self-Improved Reasoners Benefit from Model Merging EMNLP 2025
Glider: Global and Local Instruction-Driven Expert Router EMNLP 2025
BTS: Harmonizing Specialized Experts into a Generalist LLM EMNLP 2025
Alignment with Fill-In-the-Middle for Enhancing Code Generation EMNLP 2025
Sheaf Discovery with Joint Computation Graph Pruning and Flexible Granularity EMNLP 2025
Not All Parameters Are Created Equal: Smart Isolation Boosts Fine-Tuning Performance EMNLP 2025
Merge then Realign: Simple and Effective Modality-Incremental Continual Learning for Multimodal LLMs EMNLP 2025
GeoEdit: Geometric Knowledge Editing for Large Language Models EMNLP 2025
AIMMerging: Adaptive Iterative Model Merging Using Training Trajectories for Language Model Continual Learning EMNLP 2025
Improve LLM-as-a-Judge Ability as a General Ability EMNLP 2025
To See a World in a Spark of Neuron: Disentangling Multi-Task Interference for Training-Free Model Merging EMNLP 2025
RECALL: REpresentation-aligned Catastrophic-forgetting ALLeviation via Hierarchical Model Merging EMNLP 2025
Extracting and Combining Abilities For Building Multi-lingual Ability-enhanced Large Language Models EMNLP 2025