activity
20242026
most citedBiased Tales: Cultural and Topic Bias in Generating Children's Stories

1 citations · 1 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2026

WildSEEK: Evaluating Language Models for Information-Seeking

Tanise Ceron, Joachim Baumann, Elisa Bassignana +3

Language models are increasingly mediating information access to end users, urging a systematic evaluation of their responses for a fair and reliable information ecosystem. Existin…

cs.CL2026

PATS: Personality-Aware Teaching Strategies with Large Language Model Tutors

Donya Rooein, Sankalan Pal Chowdhury, Mariia Eremeeva +4

Recent advances in large language models (LLMs) demonstrate their potential as educational tutors. However, different tutoring strategies benefit different student personalities, a…

cs.CL2025★ 1 cited

Biased Tales: Cultural and Topic Bias in Generating Children's Stories

Donya Rooein, Vilém Zouhar, Debora Nozza +1

Stories play a pivotal role in human communication, shaping beliefs and morals, particularly in children. As parents increasingly rely on large language models (LLMs) to craft bedt…

cs.CL2025

Exploring Subjective Tasks in Farsi: A Survey Analysis and Evaluation of Language Models

Donya Rooein, Flor Miriam Plaza-del-Arco, Debora Nozza +1

Given Farsi's speaker base of over 127 million people and the growing availability of digital text, including more than 1.3 million articles on Wikipedia, it is considered a middle…

cs.SI2024

Can I introduce my boyfriend to my grandmother? Evaluating Large Language Models Capabilities on Iranian Social Norm Classification

Hamidreza Saffari, Mohammadamin Shafiei, Donya Rooein +2

Creating globally inclusive AI systems demands datasets reflecting diverse social norms. Iran, with its unique cultural blend, offers an ideal case study, with Farsi adding linguis…

cs.CL2024

FairBelief -- Assessing Harmful Beliefs in Language Models

Mattia Setzu, Marta Marchiori Manerba, Pasquale Minervini +1

Language Models (LMs) have been shown to inherit undesired biases that might hurt minorities and underrepresented groups if such systems were integrated into real-world application…