Yu-Hua Luo

ChainLoRA: Geometry-Preserving Task Vector Merging for Continual Learning in LLMs

Continual parameter-efficient fine-tuning for large language models (LLMs) must balance retention of previously acquired knowledge, adaptation to new tasks, and strict parameter budgets. We present \textbf{ChainLoRA}, a replay-free continual merging framework built on chain-updated task-vector geometry. From a paramete...