Papers by Phan Anh Duong

2 papers
CHEER-Ekman: Fine-grained Embodied Emotion Classification (2025.acl-short)

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Challenge: Emotions manifest through physical experiences and bodily reactions, yet identifying such embodied emotions in text remains understudied.
Approach: They propose to extend existing binary embodied emotion dataset with Ekman’s six basic emotion categories.
Outcome: The proposed dataset outperforms existing methods with large language models.
Anatomy of a Feeling: Narrating Embodied Emotions via Large Vision-Language Models (2025.findings-emnlp)

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Challenge: ELENA is a framework for embodied emotion analysis using large vision language models . ELEna uses attention maps and a persistent bias towards the facial region .
Approach: They propose a framework that utilizes large vision language models to generate ELENA . they propose to use attention maps to describe emotional reactions from body parts .
Outcome: The proposed framework outperforms baseline models without fine-tuning . it uses large vision language models to generate embodied emotion narratives .

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