Where Should LoRA Go? Component-Type Placement in Hybrid Language Models

This research systematically investigates LoRA placement in hybrid language models, which combine attention and recurrent components. It finds that adapting the attention pathway consistently outperforms full-model adaptation with significantly fewer parameters, while the effect of adapting the recurrent backbone varies drastically depending on the hybrid architecture (sequential vs. parallel).