Carbon capture and storage (CCS) is recognized as an important technology for reducing greenhouse gas emissions and achieving climate targets, yet some segments of society express public opposition. Public opposition, even when expressed by minority groups, has at times influenced CCS project outcomes. Opposition exten...
Mabel San Román-Niaves, Sofia Morandini, Kalliopi Elli Fragouli et al.· International journal of gre...· 0 citations
Recent advances in large language models (LLMs) have enabled artificial systems to generate responses widely perceived as empathic, raising fundamental questions about the nature and value of empathy. This chapter examines why, despite evidence that AI can equal or even surpass humans in tasks of cognitive empathy, hum...
Anat Perry, Jamil Zaki· Cambridge University Press e...· 0 citations
A language model trained on nothing published after 1938, asked what year it is, answers 1899. Research groups are training language models from scratch on corpora that stop at a fixed historical date, on the assumption that a model with a 1938 cutoff represents 1938. This work measures that assumption and finds it wro...
Zaid Ali Syed· Zenodo (CERN European Organi...· 0 citations
As psychological science is shifting from traditional null-hypothesis significance testing toward interval-based hypothesis testing, researchers have to determine and justify what the smallest effect size is that matters practically or theoretically, also known as the smallest effect size of interest (SESOI). However,...
Paul Riesthuis, Charlotte A Bücken, Henry Otgaar et al.· 0 citations
Universal writing screening requires scoring approaches that are feasible and supported by validity evidence. This study evaluated large language model (LLM)-based comparative judgment (CJ) for scoring informational writing assessments completed by 1,208 students in Grades 3–6 across three screening occasions. Seven LL...
In recent years, cybersecurity threats have increasingly exploited human behaviour rather than purely technical vulnerabilities, exposing the limits of traditional awareness programmes delivered outside real-world contexts. To bridge this gap, we introduce TrainShield, an interaction paradigm for contextual cybersecuri...
Giovanni Pizzenti, Alberto Verna, Nikhil Jha et al.· Proceedings of the 37th ACM...· 0 citations
Reproduction materials for a study of Legal Judgment Prediction (LJP) on Korean drunk-driving cases: an attorney-verified benchmark of 1,500 cases drawn from the LBox Open corpus, eight classical machine-learning configurations, four large-language-model configurations, and a comparison of the two model families on bot...
Sungsoo Choi, Taeyeon Oh· Zenodo (CERN European Organi...· 0 citations
High quality data on natural hazard damages are crucial for effective disaster risk management. Yet, existing impact datasets remain limited and often biased toward Northern countries and monetary losses. To help address these gaps, we present ROUGE (Redcross Operations Unified Global Emergency database); a new socio...
L. Hasbini, L. Severino, M. M. de Brito et al.· Scientific Data· 0 citations
This paper develops a dynamic framework for analyzing civilizational reorganization by extending the theory of reaction synchronization along a temporal axis. Rather than treating civilizations as unified entities that rise, decline, and replace one another, it conceptualizes civilization as an overlapping assemblage o...
KOUHEI MISUGI· Zenodo (CERN European Organi...· 0 citations
EuLLM is an open-source platform for creating, distributing, and running sovereign EU-compliant Large Language Models, designed for verticalization across domains, languages, and brands while ensuring AI Act compliance. The platform consists of three components: Engine — a Rust-based inference runtime built on top of l...
Francesco Marchetti· Zenodo (CERN European Organi...· 0 citations
