2 papers
cs.LG2025
RegMean++: Enhancing Effectiveness and Generalization of Regression Mean for Model Merging
The-Hai Nguyen, Dang Huu-Tien, Takeshi Suzuki +1
Regression Mean (RegMean), an approach that formulates model merging as a linear regression problem, aims to find the optimal weights for each linear layer in the merged model by m…
cs.CL2025
Improving LLM Unlearning Robustness via Random Perturbations
Dang Huu-Tien, Hoang Thanh-Tung, Anh Bui +3
Here, we show that current LLM unlearning methods inherently reduce models' robustness, causing them to misbehave even when a single non-adversarial forget-token is present in the…