Cultural Alignment in Large Language Models Using Soft Prompt Tuning
This work proposes a deployment-friendly approach that encodes cultural behavior in short, tunable soft prompts optimized with Differential Evolution (DE), while keeping model weights frozen and requiring no preference data.