NeurIPS "model merging" Papers
7 papers found
Accurate and Efficient Low-Rank Model Merging in Core Space
Aniello Panariello, Daniel Marczak, Simone Magistri et al.
NeurIPS 2025posterarXiv:2509.17786
3
citations
CodeMerge: Codebook-Guided Model Merging for Robust Test-Time Adaptation in Autonomous Driving
Huitong Yang, Zhuoxiao Chen, Fengyi Zhang et al.
NeurIPS 2025posterarXiv:2505.16524
Continual Model Merging without Data: Dual Projections for Balancing Stability and Plasticity
Enneng Yang, Anke Tang, Li Shen et al.
NeurIPS 2025poster
HM3: Hierarchical Multi-Objective Model Merging for Pretrained Models
Yu Zhou, Xingyu Wu, Jibin Wu et al.
NeurIPS 2025spotlightarXiv:2409.18893
6
citations
Mix Data or Merge Models? Balancing the Helpfulness, Honesty, and Harmlessness of Large Language Model via Model Merging
Jinluan Yang, Dingnan Jin, Anke Tang et al.
NeurIPS 2025posterarXiv:2502.06876
13
citations
Towards Minimizing Feature Drift in Model Merging: Layer-wise Task Vector Fusion for Adaptive Knowledge Integration
Wenju Sun, Qingyong Li, Wen Wang et al.
NeurIPS 2025posterarXiv:2505.23859
2
citations
Train with Perturbation, Infer after Merging: A Two-Stage Framework for Continual Learning
Haomiao Qiu, Miao Zhang, Ziyue Qiao et al.
NeurIPS 2025posterarXiv:2505.22389