English

Compare: A Framework for Scientific Comparisons

Digital Libraries 2025-09-09 v1 Information Retrieval

Abstract

Navigating the vast and rapidly increasing sea of academic publications to identify institutional synergies, benchmark research contributions and pinpoint key research contributions has become an increasingly daunting task, especially with the current exponential increase in new publications. Existing tools provide useful overviews or single-document insights, but none supports structured, qualitative comparisons across institutions or publications. To address this, we demonstrate Compare, a novel framework that tackles this challenge by enabling sophisticated long-context comparisons of scientific contributions. Compare empowers users to explore and analyze research overlaps and differences at both the institutional and publication granularity, all driven by user-defined questions and automatic retrieval over online resources. For this we leverage on Retrieval-Augmented Generation over evolving data sources to foster long context knowledge synthesis. Unlike traditional scientometric tools, Compare goes beyond quantitative indicators by providing qualitative, citation-supported comparisons.

Keywords

Cite

@article{arxiv.2509.06412,
  title  = {Compare: A Framework for Scientific Comparisons},
  author = {Moritz Staudinger and Wojciech Kusa and Matteo Cancellieri and David Pride and Petr Knoth and Allan Hanbury},
  journal= {arXiv preprint arXiv:2509.06412},
  year   = {2025}
}

Comments

Accepted at CIKM 2025

R2 v1 2026-07-01T05:25:48.565Z