ReLoRA: Knowledge-Reusing Adaptation for Fast Rollout of Evolving LLM Services

This paper introduces ReLoRA, a knowledge-reusing re-adaptation framework that efficiently restores service-ready LoRA adapters for evolving LLM services. It addresses the computational cost of retraining and quality degradation from naive application to updated base models.