Papers by Seo Yeon Baek

1 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.

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