University of Cagliari
embargoed_20261014
Giuseppe D'Appollonio
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.
Files in This Item:
| File | Size | Format | |
|---|---|---|---|
| Citation_DEMO_MARCO_ESWC2025 (1).pdf embargo until 14/10/2026
Type: Author’s Accepted Manuscript AAM, Post-print, (version accepted by the publisher)
Size 372.23 kB
Format Adobe PDF
|
372.23 kB | Adobe PDF | & nbsp; View / Open Request a copy |
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