Papers by Yeajin Jang

2 papers
Does the Emotional Understanding of LVLMs Vary Under High-Stress Environments and Across Different Demographic Attributes? (2025.acl-long)

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Challenge: According to psychological and neuroscientific research, a high-stress environment can restrict attentional resources and intensify negative affect, thereby impairing the ability to understand emotions.
Approach: They constructed a large-vision language model that combines race, gender, and age group and used the Pretend prompt technique to induce LVLMs to interpret others’ emotions.
Outcome: The results suggest that the effects of high-stress and demographic attributes identified in human research may also be reflected in LVLMs.
Analyzing Key Factors Influencing Emotion Prediction Performance of VLLMs in Conversational Contexts (2024.emnlp-main)

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Challenge: Recent studies show that large language models and vision large language model (VLLMs) possess EI and the ability to understand emotional stimuli in the form of text and images.
Approach: They analyze the key elements affecting the emotion prediction performance of VLLMs in conversational contexts.
Outcome: The proposed model performance was compared with other models in a conversational context.

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