Papers by Donya Rooein
PATS: Personality-Aware Teaching Strategies with Large Language Model Tutors (2026.findings-eacl)
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Donya Rooein, Sankalan Pal Chowdhury, Mariia Eremeeva, Yuan Qin, Debora Nozza, Mrinmaya Sachan, Dirk Hovy
| Challenge: | pedagogical theories are not aligned with teaching strategies for educational tasks . quiet students may be disengaged or not thinking critically because they do not speak up . |
| Approach: | They propose a taxonomy that links pedagogical methods to personality profiles to map teaching strategies to student personality traits. |
| Outcome: | The proposed model improves the use of less common, high-impact strategies such as role-playing . the model also increases the use less common strategies such role-players . |
Can Reasoning Help Large Language Models Capture Human Annotator Disagreement? (2026.eacl-long)
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Jingwei Ni, Yu Fan, Vilém Zouhar, Donya Rooein, Alexander Miserlis Hoyle, Mrinmaya Sachan, Markus Leippold, Dirk Hovy, Elliott Ash
| Challenge: | Variation in human annotation (i.e., disagreements) is common in NLP, but it is unclear whether it is possible to model this variation in LLMs. |
| Approach: | They evaluate the influence of different reasoning settings on LLM disagreement modeling . RLVR-style reasoning degrades performance in disagreement modeling, they find . |
| Outcome: | The proposed reasoning settings improve LLM disagreement modeling, while RLVR-style reasoning degrades it. |
Co-DETECT: Collaborative Discovery of Edge Cases in Text Classification (2025.emnlp-demos)
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Chenfei Xiong, Jingwei Ni, Yu Fan, Vilém Zouhar, Donya Rooein, Lorena Calvo-Bartolomé, Alexander Miserlis Hoyle, Zhijing Jin, Mrinmaya Sachan, Markus Leippold, Dirk Hovy, Mennatallah El-Assady, Elliott Ash
| Challenge: | Social scientists often need to develop codebooks that can be reliable but require significant human effort. |
| Approach: | They propose a mixed-initiative annotation framework that integrates human expertise with automatic annotation guided by large language models. |
| Outcome: | The proposed framework integrates human expertise with automatic annotation guided by large language models. |
Can I Introduce My Boyfriend to My Grandmother? Evaluating Large Language Models Capabilities on Iranian Social Norm Classification (2025.findings-naacl)
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| Challenge: | Introducing the Iranian Social Norms dataset, a collection of 1,699 social norms, with Farsi adding linguistic complexity. |
| Approach: | They propose a collection of Iranian social norms with English translations and a novel Iranian dataset. |
| Outcome: | The Iranian Social Norms dataset is the first to be used in the Farsi language . it includes 1,699 social norms including environments, demographic features, and scope annotation, alongside English translations. |
Biased Tales: Cultural and Topic Bias in Generating Children’s Stories (2025.emnlp-main)
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| Challenge: | Personalized stories are often preferred because they reflect a child's interests, experiences, and developmental needs. |
| Approach: | They analyze a dataset to examine how biases influence protagonists’ attributes and story elements in LLM-generated stories. |
| Outcome: | The proposed dataset shows that gender stereotypes influence protagonist attributes and story elements in LLM-generated stories. |