Citation Recommendation

Citation recommendation aims to automate the process of finding relevant references for scientific writing, improving efficiency and accuracy. Current research focuses on developing sophisticated models, often incorporating transformer-based architectures and graph embeddings, to capture both local (sentence-level) and global (document-level) context, sometimes leveraging hierarchical attention mechanisms and incorporating taxonomic information. These advancements are improving the precision and recall of citation suggestions, ultimately enhancing the quality and reliability of scientific publications and potentially assisting in tasks like fact-checking and maintaining the integrity of knowledge bases.