AI RESEARCH
Output Composability of QLoRA PEFT Modules for Plug-and-Play Attribute-Controlled Text Generation
arXiv CS.CL
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ArXi:2605.12345v1 Announce Type: new Parameter-efficient fine-tuning (PEFT) techniques offer task-specific fine-tuning at a fraction of the cost of full fine-tuning, but require separate fine-tuning for every new task (combination). In this paper, we explore three ways of generalising beyond single-task