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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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CiteGen: A Web Application for Citation Recommendation Powered by LLMs and Knowledge Graphs

  • 会议论文

  • 发表日期：

    2026年

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  • Marco Murgia,
  • Danilo Dessi,
  • Francesco Osborne,
  • Davide Buscaldi,
  • Enrico Motta,
  • Diego Reforgiato Recupero

摘要

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.