LLM Agents Build Interpretable Text Generators from RDF Data

This research explores a novel application of LLM agents for building Natural Language Generation (NLG) systems, specifically focusing on generating text from Resource Description Framework (RDF) data. The interpretability of the generated text is a crucial advantage, making the system's reasoning process more transparent.