Papers by Ivan Ernesto Perez Mejia

1 papers
Characterizing and Evaluating Working Emotion Vocabularies in Multilingual Large Language Models (2026.acl-long)

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Challenge: Prior work evaluating emotion and affective understanding in large language models rely on predetermined label sets or focus on a singular evaluation task.
Approach: They examine the ability of multilingual language models to predict any term used by an author to label their own feelings or emotions.
Outcome: The proposed models perform poorly on three different tasks in English and Spanish.

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