This demo paper presents CiteGen, a LLM-based web application designed to assist with incorporating citations into scientific writing. CiteGen helps users find and choose the right references by using large language models and a scientific knowledge graph to suggest the most relevant citations for a given text. Specifically, the system analyzes the input text to identify optimal citation points, retrieves candidate references from the AIDA-KG, ranks them by relevance, and inserts the most appropriate citations in the identified locations.
Murgia, M., Dessi, D., Osborne, F., Buscaldi, D., Motta, E., Reforgiato Recupero, D. (2026). CiteGen: A Web Application for Citation Recommendation Powered by LLMs and Knowledge Graphs. In The Semantic Web: ESWC 2025 Satellite Events Portoroz, Slovenia, June 1–5, 2025, Proceedings (pp.45-51). Springer Science and Business Media Deutschland GmbH [10.1007/978-3-031-99554-5_9].
CiteGen: A Web Application for Citation Recommendation Powered by LLMs and Knowledge Graphs
Osborne F.;
2026
Abstract
This demo paper presents CiteGen, a LLM-based web application designed to assist with incorporating citations into scientific writing. CiteGen helps users find and choose the right references by using large language models and a scientific knowledge graph to suggest the most relevant citations for a given text. Specifically, the system analyzes the input text to identify optimal citation points, retrieves candidate references from the AIDA-KG, ranks them by relevance, and inserts the most appropriate citations in the identified locations.
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