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cs.CL2024
PersonalSum: A User-Subjective Guided Personalized Summarization Dataset for Large Language Models
Lemei Zhang, Peng Liu, Marcus Tiedemann Oekland Henriksboe +3
With the rapid advancement of Natural Language Processing in recent years, numerous studies have shown that generic summaries generated by Large Language Models (LLMs) can sometime…
cs.IR2024
Understanding Language Modeling Paradigm Adaptations in Recommender Systems: Lessons Learned and Open Challenges
Lemei Zhang, Peng Liu, Yashar Deldjoo +2
The emergence of Large Language Models (LLMs) has achieved tremendous success in the field of Natural Language Processing owing to diverse training paradigms that empower LLMs to e…