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.
CiteGen: A Web Application for Citation Recommendation Powered by LLMs and Knowledge Graphs
Dessi D.;Buscaldi D.;Reforgiato Recupero D.
2026-01-01
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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