Wenhai Wang

Domain-Specific Data Synthesis for LLMs through Minimal Sufficient Representation Learning

This work proposes a novel framework, DOMINO, that learns a minimal sufficient domain representation from reference samples and leverages it to guide the generation of domain-aligned synthetic data, enabling practical and scalable domain adaptation without manual prompt design or natural language domain specifications.