Papers by Oh-Woog Kwon
Do Large Language Models Have “Emotion Neurons”? Investigating the Existence and Role (2025.findings-acl)
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| Challenge: | Existing evaluations of LLMs' emotional capabilities have been criticized for not illuminating how emotion information is processed and represented within an LLM. |
| Approach: | They examine whether there are “emotion neurons” within large language models that selectively process and express certain emotions and what functional role they play. |
| Outcome: | The proposed model is based on the representative emotion theory of the six basic emotions and demonstrates that it is functionally significant to examine whether the prediction accuracy for a specific emotion decreases when the neurons are removed. |
Small Changes, Big Impact: How Manipulating a Few Neurons Can Drastically Alter LLM Aggression (2025.acl-long)
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| Challenge: | Recent advances in Large Language Models have led to innovations in various domains such as education, healthcare, and finance, while raising serious concerns that they can be easily misused for malicious purposes. |
| Approach: | They identify specific neurons (“aggression neurons”) closely related to the expression of aggression and analyze how manipulating them affects the model’s overall aggression. |
| Outcome: | The proposed model outputs show that manipulating neurons can increase aggression by up to 33% in all models and even more extreme when they are concentrated in certain layers. |
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. |