2025
To See a World in a Spark of Neuron: Disentangling Multi-Task Interference for Training-Free Model Merging
EMNLP 2025
Fine-tuning pre-trained models on targeted datasets enhances task-specific performance but often comes at the expense of generalization. Model merging techniques, which integrate multiple fine-tuned models into a single multi-task model through task arithmetic, offer a promising solution. However, t