Vinicio Busacchi

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.
2026
Inglese
Lecture Notes in Computer Science
9783031995538
9783031995545
Springer Science and Business Media Deutschland GmbH
GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
15832
45
51
7
Satellite events held at the 22nd European Semantic Web Conference, ESWC 2025
Esperti anonimi
2025
svn
scientifica
Citation Prediction
Knowledge Graphs
Natural Language Processing
4 Contributo in Atti di Convegno (Proceeding)::4.1 Contributo in Atti di convegno
Murgia, M.; Dessi, D.; Osborne, F.; Buscaldi, D.; Motta, E.; Reforgiato Recupero, D.
273
6
4.1 Contributo in Atti di convegno
embargoed_20261014
info:eu-repo/semantics/conferencePaper
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