Papers by Yucen Zhuang

1 papers
SOLAR: Serendipity Optimized Language Model Aligned for Recommendation (2025.findings-emnlp)

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Challenge: Large Language Models have shown strong potential in recommendation tasks . however, their application to serendipity-oriented recommendations remains challenging .
Approach: They propose a domain-adaptive instruction tuning method that aligns Large Language Models with recommendation tasks.
Outcome: The proposed framework bridges the domain gap between LLMs and recommendation tasks.

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