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Gihoon Kim

4 accepted papers

2026

Preserve and Personalize: Personalized Text-to-Image Diffusion Models without Distributional Drift

ICLR 2026poster

Personalizing text-to-image diffusion models involves integrating novel visual concepts from a small set of reference images while retaining the model’s original generative capabilities. However, this process often leads to overfitting, where the model ignores the user’s prompt and merely replicates…

Cited by 0SourceScholar
2026

Swap-guided Preference Learning for Personalized Reinforcement Learning from Human Feedback

ICLR 2026poster

Reinforcement Learning from Human Feedback (RLHF) is a widely used approach to align large-scale AI systems with human values. However, RLHF typically assumes a single, universal reward, which overlooks diverse preferences and limits personalization. Variational Preference Learning (VPL) seeks to ad…

Cited by 0SourcecodeScholar
2025

Assessing Socio-Cultural Alignment and Technical Safety of Sovereign LLMs

EMNLP 2025

Recent trends in LLMs development clearly show growing interest in the use and application of sovereign LLMs. The global debate over sovereign LLMs highlights the need for governments to develop their LLMs, tailored to their unique socio-cultural and historical contexts. However, there remains a sho