Papers by Jang Hyun Kim

2 papers
Personality Vector: Modulating Personality of Large Language Models by Model Merging (2025.emnlp-main)

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Challenge: Existing methods to induce personality in large language models (LLMs) fail to capture the continuous nature of human traits.
Approach: They propose a method for personality modulation in large language models by model merging by subtracting weights of pre-trained models from those of fine-tuned models.
Outcome: The proposed method allows LLMs to exhibit desired personality traits without additional training.
Jailbreaking Multimodal Large Language Models using Multi-Clip Video (2026.acl-long)

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Challenge: Existing studies show that video inputs can bypass safety alignment, yet it remains unclear which properties of video input induce this vulnerability.
Approach: They propose a simple image-based defense that mitigates the vulnerability of MLLMs by analyzing video inputs.
Outcome: The proposed defense leverages the relative robustness of the image modality.

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