Standardize: Aligning Language Models with Expert-Defined Standards for Content Generation

This paper introduces STANDARDIZE, a framework for aligning LLM-generated content with expert-defined educational standards (CEFR and Common Core Standards) through retrieval-style in-context learning, focusing on generating text content at appropriate reading levels for language learners.

Domain experts across engineering, healthcare, and education follow strict standards for producing quality content such as technical manuals, medication instructions, and children’s reading materials. However, current works in controllable text generation have yet to explore using these standards as references for control. Towards this end, we introduce Standardize, a retrieval-style in-context learning-based framework to guide large language models to align with expert-defined standards. Focusi

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