75 citations · 215 across the 24 of their papers we have counts for
6 papers · 1 filter
Representing Research Attention as Contextually Structured Flows
Jessica Rodrigues, Angelo Salatino, Gard Jenset +1
Research metrics use attention as evidence of societal impact. Yet attention serves as evidence only once interpreted, and its meaning depends on its contextual structure, not on v…
How Do LLMs Encode Scientific Quality? An Empirical Study Using Monosemantic Features from Sparse Autoencoders
Michael McCoubrey, Angelo Salatino, Francesco Osborne +1
In recent years, there has been a growing use of generative AI, and large language models (LLMs) in particular, to support both the assessment and generation of scientific work. Al…
Integrating Large Language Models and Knowledge Graphs to Capture Political Viewpoints in News Media
Massimiliano Fadda, Enrico Motta, Francesco Osborne +2
News sources play a central role in democratic societies by shaping political and social discourse through specific topics, viewpoints and voices. Understanding these dynamics is e…
Polarity Detection of Sustainable Development Goals in News Text
Andrea Cadeddu, Alessandro Chessa, Vincenzo De Leo +5
The United Nations' Sustainable Development Goals (SDGs) provide a globally recognised framework for addressing major societal, environmental, and economic challenges. While recent…
Modelling and Classifying the Components of a Literature Review
Francisco Bolaños, Angelo Salatino, Francesco Osborne +1
Previous work has demonstrated that AI methods for analysing scientific literature benefit significantly from annotating sentences in papers according to their rhetorical roles, su…
A Comparative Study of Task Adaptation Techniques of Large Language Models for Identifying Sustainable Development Goals
Andrea Cadeddu, Alessandro Chessa, Vincenzo De Leo +6
In 2012, the United Nations introduced 17 Sustainable Development Goals (SDGs) aimed at creating a more sustainable and improved future by 2030. However, tracking progress toward t…