AI RESEARCH
TuneShift-KD: Knowledge Distillation and Transfer for Fine-tuned Models
arXiv CS.LG
•
ArXi:2603.24518v1 Announce Type: new To embed domain-specific or specialized knowledge into pre-trained foundation models, fine-tuning using techniques such as parameter efficient fine-tuning (e.g. LoRA) is a common practice. However, as new LLM architectures and pre-trained models emerge, transferring this specialized knowledge to newer models becomes an important task.