2026
Navigating the Accuracy-Size Trade-Off with Flexible Model Merging
ICLR 2026poster
Model merging has emerged as an efficient method to combine multiple single-task fine-tuned models. The merged model can enjoy multi-task capabilities without expensive training. While promising, merging into a single model often suffers from an accuracy gap with respect to individual fine-tuned mod…