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Large Language Models (LLMs) have significantly advanced the field of Natural Language Processing (NLP), achieving remarkable performance across diverse tasks and enabling widespread real-world applications. However, LLMs are prone to hallucination,
Externí odkaz:
http://arxiv.org/abs/2406.07070
Autor:
Luo, Kai, Shen, Tianshu, Yao, Lan, Wu, Ga, Liblong, Aaron, Fehervari, Istvan, An, Ruijian, Ahmed, Jawad, Mishra, Harshit, Pujari, Charu
Within-basket recommendation (WBR) refers to the task of recommending items to the end of completing a non-empty shopping basket during a shopping session. While the latest innovations in this space demonstrate remarkable performance improvement on b
Externí odkaz:
http://arxiv.org/abs/2401.16433
Conversational Recommendation Systems (CRSs) have recently started to leverage pretrained language models (LM) such as BERT for their ability to semantically interpret a wide range of preference statement variations. However, pretrained LMs are well-
Externí odkaz:
http://arxiv.org/abs/2201.06224
Publikováno v:
In Information Processing and Management January 2023 60(1)
Akademický článek
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