7 citations · 10 across the 6 of their papers we have counts for
6 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…
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…
CSMeD: Bridging the Dataset Gap in Automated Citation Screening for Systematic Literature Reviews
Wojciech Kusa, Oscar E. Mendoza, Matthias Samwald +2
Systematic literature reviews (SLRs) play an essential role in summarising, synthesising and validating scientific evidence. In recent years, there has been a growing interest in u…
CRUISE-Screening: Living Literature Reviews Toolbox
Wojciech Kusa, Petr Knoth, Allan Hanbury
Keeping up with research and finding related work is still a time-consuming task for academics. Researchers sift through thousands of studies to identify a few relevant ones. Autom…
Effective Matching of Patients to Clinical Trials using Entity Extraction and Neural Re-ranking
Wojciech Kusa, Óscar E. Mendoza, Petr Knoth +2
Clinical trials (CTs) often fail due to inadequate patient recruitment. This paper tackles the challenges of CT retrieval by presenting an approach that addresses the patient-to-tr…