RL-Struct: A Lightweight Reinforcement Learning Framework for Reliable Structured Output in LLMs.

This paper introduces RL-Struct, a lightweight reinforcement learning framework designed to improve the reliability of structured output generated by large language models. By ensuring more consistent and accurate structured data, this framework has significant implications for applications requiring precise data formatting and logical consistency, such as code generation and factual extraction.