Large Language Models (LLMs) can effectively generate accurate and contextually relevant citation text for scientific papers, and incorporating knowledge graphs further improves the performance and quality of the generated text.
The author highlights the limitations of current abstractive citation text generation models and proposes a context-focused modification to improve the relevance and coherence of generated citations.