Search Results for author: Martin Ruskov

Found 7 papers, 2 papers with code

Values That Are Explicitly Present in Fairy Tales: Comparing Samples from German, Italian and Portuguese Traditions

1 code implementation13 Feb 2024 Alba Morollon Diaz-Faes, Carla Sofia Ribeiro Murteira, Martin Ruskov

Looking at how social values are represented in fairy tales can give insights about the variations in communication of values across cultures.

How BERT Speaks Shakespearean English? Evaluating Historical Bias in Contextual Language Models

no code implementations7 Feb 2024 Miriam Cuscito, Alfio Ferrara, Martin Ruskov

In our preliminary experiments, we perform fill-in-the-blank tests with 60 masked sentences (20 EME-specific, 20 ME-specific and 20 generic) and three different models (i. e., BERT Base, MacBERTh, English HLM).

Learning to Prompt in the Classroom to Understand AI Limits: A pilot study

no code implementations4 Jul 2023 Emily Theophilou, Cansu Koyuturk, Mona Yavari, Sathya Bursic, Gregor Donabauer, Alessia Telari, Alessia Testa, Raffaele Boiano, Davinia Hernandez-Leo, Martin Ruskov, Davide Taibi, Alessandro Gabbiadini, Dimitri Ognibene

Encouraging preliminary results emerged, including high appreciation of the activity, improved interaction quality with the LLM, reduced negative AI sentiments, and a better grasp of limitations, specifically unreliability, limited understanding of commands leading to unsatisfactory responses, and limited presentation flexibility.

Developing Effective Educational Chatbots with ChatGPT prompts: Insights from Preliminary Tests in a Case Study on Social Media Literacy (with appendix)

no code implementations18 Jun 2023 Cansu Koyuturk, Mona Yavari, Emily Theophilou, Sathya Bursic, Gregor Donabauer, Alessia Telari, Alessia Testa, Raffaele Boiano, Alessandro Gabbiadini, Davinia Hernandez-Leo, Martin Ruskov, Dimitri Ognibene

Educational chatbots come with a promise of interactive and personalized learning experiences, yet their development has been limited by the restricted free interaction capabilities of available platforms and the difficulty of encoding knowledge in a suitable format.

Chatbot Zero-Shot Learning

Grimm in Wonderland: Prompt Engineering with Midjourney to Illustrate Fairytales

no code implementations17 Feb 2023 Martin Ruskov

Using Midjourney v4, we engage in action research with a dual aim: to attempt to generate 5 believable illustrations for each of 5 popular fairytales, and to define a prompt engineering process that starts from a pre-existing text and arrives at an illustration of it.

Prompt Engineering Text-to-Image Generation

Computer-Aided Modelling of the Bilingual Word Indices to the Ninth-Century Uchitel'noe evangelie

1 code implementation25 Oct 2022 Martin Ruskov, Lora Taseva

Our approach is designed with generalisation in mind and is intended to be applicable also for other translations from Greek into Old Church Slavonic.

Translation

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