2 papers
cs.CL2025
Optimal Singular Damage: Efficient LLM Inference in Low Storage Regimes
Mohammadsajad Alipour, Mohammad Mohammadi Amiri
Large language models (LLMs) are increasingly prevalent across diverse applications. However, their enormous size limits storage and processing capabilities to a few well-resourced…
cs.LG2025
Towards Reversible Model Merging For Low-rank Weights
Mohammadsajad Alipour, Mohammad Mohammadi Amiri
Model merging aims to combine multiple fine-tuned models into a single set of weights that performs well across all source tasks. While prior work has shown that merging can approx…