Postdoc, University of Modena and Reggio Emilia, AimageLab
2 papers at NeurIPS 2025
The paper proposes Core Space Merging, a method to efficiently merge LoRA-adapted models by aligning them in a shared low-rank subspace, achieving higher accuracy and major speedups over prior merging techniques.
