PersonalSum: A User-Subjective Guided Personalized Summarization Dataset for Large Language Models

Models (LLMs) can sometimes surpass those annotated by experts, such as journalists, according to human evaluations. However, there is limited research on whether these generic summaries meet the individual needs of ordinary people.