3 accepted papers
Manual annotation of high-quality visual question answering with grounding (VQA-G) datasets, which pair visual questions with evidential grounding, is crucial for advancing vision-language models (VLMs), but remains unscalable. Existing automated methods are often hindered by two key issues: (1) inc…
Personalized sequential recommender has become a key task in the consumer electronics domain. Existing methods for personalized sequential recommenders primarily focus on modeling user behavior and have achieved satisfactory recommender results. However, the inherent quadratic computational complexi…
In the context of rapidly evolving electronic technology, numerous consumer electronic products have begun to employ recommendation systems to enhance user experience. Traditional recommendation systems utilize deep learning to predict user ratings for items; however, this approach requires users to…