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cs.IR2024
CALRec: Contrastive Alignment of Generative LLMs for Sequential Recommendation
Yaoyiran Li, Xiang Zhai, Moustafa Alzantot +4
Traditional recommender systems such as matrix factorization methods have primarily focused on learning a shared dense embedding space to represent both items and user preferences.…
cs.CL2024★ 2 cited
Self-Augmented In-Context Learning for Unsupervised Word Translation
Yaoyiran Li, Anna Korhonen, Ivan Vulić
Recent work has shown that, while large language models (LLMs) demonstrate strong word translation or bilingual lexicon induction (BLI) capabilities in few-shot setups, they still…