9 citations · 12 across the 9 of their papers we have counts for
12 papers · 1 filter
Compromesso! Italian Many-Shot Jailbreaks Undermine the Safety of Large Language Models
Fabio Pernisi, Dirk Hovy, Paul Röttger
As diverse linguistic communities and users adopt large language models (LLMs), assessing their safety across languages becomes critical. Despite ongoing efforts to make LLMs safe,…
Divine LLaMAs: Bias, Stereotypes, Stigmatization, and Emotion Representation of Religion in Large Language Models
Flor Miriam Plaza-del-Arco, Amanda Cercas Curry, Susanna Paoli +2
Emotions play important epistemological and cognitive roles in our lives, revealing our values and guiding our actions. Previous work has shown that LLMs display biases in emotion…
Beyond Flesch-Kincaid: Prompt-based Metrics Improve Difficulty Classification of Educational Texts
Donya Rooein, Paul Rottger, Anastassia Shaitarova +1
Using large language models (LLMs) for educational applications like dialogue-based teaching is a hot topic. Effective teaching, however, requires teachers to adapt the difficulty…
Conversations as a Source for Teaching Scientific Concepts at Different Education Levels
Donya Rooein, Dirk Hovy
Open conversations are one of the most engaging forms of teaching. However, creating those conversations in educational software is a complex endeavor, especially if we want to add…
Emotion Analysis in NLP: Trends, Gaps and Roadmap for Future Directions
Flor Miriam Plaza-del-Arco, Alba Curry, Amanda Cercas Curry +1
Emotions are a central aspect of communication. Consequently, emotion analysis (EA) is a rapidly growing field in natural language processing (NLP). However, there is no consensus…
DADIT: A Dataset for Demographic Classification of Italian Twitter Users and a Comparison of Prediction Methods
Lorenzo Lupo, Paul Bose, Mahyar Habibi +2
Social scientists increasingly use demographically stratified social media data to study the attitudes, beliefs, and behavior of the general public. To facilitate such analyses, we…