8 citations · 10 across the 3 of their papers we have counts for
3 papers
cs.CY2025
Our Coding Adventure: Using LLMs to Personalise the Narrative of a Tangible Programming Robot for Preschoolers
Martin Ruskov
Finding balanced ways to employ Large Language Models (LLMs) in education is a challenge due to inherent risks of poor understanding of the technology and of a susceptible audience…
cs.CL2024★ 2 cited
How BERT Speaks Shakespearean English? Evaluating Historical Bias in Contextual Language Models
Miriam Cuscito, Alfio Ferrara, Martin Ruskov
In this paper, we explore the idea of analysing the historical bias of contextual language models based on BERT by measuring their adequacy with respect to Early Modern (EME) and M…
cs.HC2023★ 8 cited
Learning to Prompt in the Classroom to Understand AI Limits: A pilot study
Emily Theophilou, Cansu Koyuturk, Mona Yavari +10
Artificial intelligence's (AI) progress holds great promise in tackling pressing societal concerns such as health and climate. Large Language Models (LLM) and the derived chatbots,…