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Zi-Feng Mai

2 accepted papers

2025

Learning Transition Patterns by Large Language Models for Sequential Recommendation

COLING 2025main

Large Language Models (LLMs) have demonstrated powerful performance in sequential recommendation due to their robust language modeling and comprehension capabilities. In such paradigms, the item texts of interaction sequences are formulated as sentences and LLMs are utilized to learn language repres…

Cited by 0SourcePDFScholar
2025

Multimodal Quantitative Language for Generative Recommendation

ICLR 2025poster

Generative recommendation has emerged as a promising paradigm aiming at directly generating the identifiers of the target candidates. Most existing methods attempt to leverage prior knowledge embedded in Pre-trained Language Models (PLMs) to improve the recommendation performance. However, they ofte…

Cited by 0SourcePDFScholar