Multiple Citation

Multiple citation generation focuses on automatically creating coherent text that accurately cites multiple research papers within a single paragraph or summary, addressing the time-consuming nature of manual citation construction. Current research heavily utilizes large language models (LLMs), often enhanced with knowledge graphs to improve the contextual understanding and relationships between cited papers, aiming for more comprehensive and accurate citation generation. This automated approach has the potential to significantly streamline literature reviews, improve the efficiency of scientific writing, and enhance the accessibility of research findings. Furthermore, research is exploring methods to evaluate the quality and accuracy of these automatically generated citations, addressing concerns about bias and the potential for misinformation.