University Of Melbourne: Research Institution — Prolific Citations Library
Browse 4 peer-reviewed papers from University Of Melbourne spanning Computational Social Science, Software Engineering (2023–2024). Research powered by Prolific's high-quality participant data.
This page lists 4 peer-reviewed papers from researchers at University Of Melbourne in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.
Papers (4 of 4)
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Authors: A Alami, M Zahedi, N Ernst
Year: 2024
Published in: ArXiv
Institution: Aalborg University, University of Melbourne, University of Victoria
Research Area: Software Engineering, Online Recruitment, Human-AI Interaction
Discipline: Software Engineering
This empirical study investigates the contribution of Pretrained Language Models (PLMs), such as BERT and RoBERTa, to various components of multi-hop Question Answering (QA) tasks, focusing on evidence extraction and information aggregation.
Citations: 14
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Authors: F Zanartu, J Cook, M Wagner, J Garcia
Year: 2024
Published in: ArXiv
Institution: Monash University, University of Melbourne
Research Area: Artificial Intelligence, Computational Social Science, Misinformation Detection, Fallacy Analysis in Climate Communication.
Discipline: Artificial Intelligence, Computational Social Science
Citations: 6
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Authors: Macken Murphy, Caroline A. Phillips, Khandis R. Blake
Year: 2024
Published in: Science Direct
Institution: University of Melbourne, University of Oxford
Research Area: Evolutionary Psychology, Human Sexuality, Infidelity Studies
Discipline: Psychology
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Authors: C Wang, SK Freire, M Zhang, J Wei
Year: 2023
Published in: arXiv preprint arXiv ..., 2023 - arxiv.org
Institution: Delft University of Technolog, University of Melbourne
Research Area: Human-Computer Interaction, Computational Social Science, AI Security
Discipline: Human-Computer Interaction
DOI: https://doi.org/10.48550/arXiv.2306.08833
Citations: 18
