3 citations · 4 across the 11 of their papers we have counts for
11 papers
Scoring Grant Applications with Large Language Models
Mike Thelwall, David Pride, Francesco Osborne +4
Purpose: Assessing grant applications is time-consuming and difficult, adding to the overall burden of academic peer review. Whilst funders are exploring whether AI can help, there…
SHARE: Social-Humanities AI for Research and Education
João Gonçalves, Sonia de Jager, Petr Knoth +2
This intermediate technical report introduces the SHARE family of base models and the MIRROR user interface. The SHARE models are the first causal language models fully pretrained…
Identifying and extracting Data Access Statements from full-text academic articles
David Pride, Matteo Cancellieri, Petr Knoth
A Data Access Statement (DAS) is a formal declaration detailing how and where the underlying research data associated with a publication can be accessed. It promotes transparency,…
LongEval at CLEF 2025: Longitudinal Evaluation of IR Systems on Web and Scientific Data
Matteo Cancellieri, Alaa El-Ebshihy, Tobias Fink +11
The LongEval lab focuses on the evaluation of information retrieval systems over time. Two datasets are provided that capture evolving search scenarios with changing documents, que…
Compare: A Framework for Scientific Comparisons
Moritz Staudinger, Wojciech Kusa, Matteo Cancellieri +3
Navigating the vast and rapidly increasing sea of academic publications to identify institutional synergies, benchmark research contributions and pinpoint key research contribution…
Interoperable verification and dissemination of software assets in repositories using COAR Notify
Matteo Cancellieri, Martin Docekal, David Pride +3
The discoverability, attribution, and reusability of open research software are often hindered by its obscurity within academic manuscripts. To address this, the SoFAIR project (20…