Papers by Mina Kian
Using Linguistic Entrainment to Evaluate Large Language Models for Use in Cognitive Behavioral Therapy (2025.findings-naacl)
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Mina Kian, Kaleen Shrestha, Katrin Fischer, Xiaoyuan Zhu, Jonathan Ong, Aryan Trehan, Jessica Wang, Gloria Chang, Séb Arnold, Maja Mataric
| Challenge: | Entrainment is a communication process that builds a strong relationship between a mental health therapist and their client. |
| Approach: | They evaluate the linguistic entrainment of an LLM in a mental health dialog setting and compare it to trained therapists and non-expert online peer supporters. |
| Outcome: | The proposed model outperforms humans in a cognitive behavioral therapy setting. |
Mechanistic Interpretability of Emotion Inference in Large Language Models (2025.findings-acl)
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| Challenge: | Existing studies on large language models (LLMs) show promising capabilities in predicting human emotions from text. |
| Approach: | They investigate how autoregressive LLMs infer emotions by focusing on appraisal theory . they show that emotion representations are functionally localized to specific regions in the model . |
| Outcome: | The proposed model is functionally localized to specific regions in the model, and the results align with theoretical and intuitive expectations. |