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View all- Torres N(2025)CodeContrast: A Contrastive Learning Approach for Generating Coherent Programming ExercisesEducation Sciences10.3390/educsci1501008015:1(80)Online publication date: 13-Jan-2025
Generative retrieval for search and recommendation is a promising paradigm for retrieving items, offering an alternative to traditional methods that depend on external indexes and nearest-neighbor searches. Instead, generative models directly associate ...
Utilizing powerful Large Language Models (LLMs) for generative recommendation has attracted much attention. Nevertheless, a crucial challenge is transforming recommendation data into the language space of LLMs through effective item tokenization. Current ...
In recent years, Large Language Models (LLMs) have emerged as powerful tools for diverse natural language processing tasks. However, their potential for recommender systems under the generative recommendation paradigm remains relatively ...
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