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Yilun Qiu

2 accepted papers

2025

Latent Inter-User Difference Modeling for LLM Personalization

EMNLP 2025

Large language models (LLMs) are increasingly integrated into users’ daily lives, leading to a growing demand for personalized outputs.Previous work focuses on leveraging a user’s own history, overlooking inter-user differences that are crucial for effective personalization.While recent work has att

2025

Measuring What Makes You Unique: Difference-Aware User Modeling for Enhancing LLM Personalization

ACL 2025finding

Personalizing Large Language Models (LLMs) has become a critical step in facilitating their widespread application to enhance individual life experiences. In pursuit of personalization, distilling key preference information from an individual’s historical data as instructional preference context to…