7 citations · 8 across the 6 of their papers we have counts for
6 papers
On the Essence and Prospect: An Investigation of Alignment Approaches for Big Models
Xinpeng Wang, Shitong Duan, Xiaoyuan Yi +7
Big models have achieved revolutionary breakthroughs in the field of AI, but they might also pose potential concerns. Addressing such concerns, alignment technologies were introduc…
Text2Bundle: Towards Personalized Query-based Bundle Generation
Shixuan Zhu, Chuan Cui, JunTong Hu +3
Bundle generation aims to provide a bundle of items for the user, and has been widely studied and applied on online service platforms. Existing bundle generation methods mainly uti…
Towards Multi-Subsession Conversational Recommendation
Yu Ji, Qi Shen, Shixuan Zhu +4
Conversational recommendation systems (CRS) could acquire dynamic user preferences towards desired items through multi-round interactive dialogue. Previous CRS mainly focuses on th…
Large-Scale and Multi-Perspective Opinion Summarization with Diverse Review Subsets
Han Jiang, Rui Wang, Zhihua Wei +2
Opinion summarization is expected to digest larger review sets and provide summaries from different perspectives. However, most existing solutions are deficient in epitomizing exte…
Temporal aware Multi-Interest Graph Neural Network For Session-based Recommendation
Qi Shen, Shixuan Zhu, Yitong Pang +2
Session-based recommendation (SBR) is a challenging task, which aims at recommending next items based on anonymous interaction sequences. Despite the superior performance of existi…
Intention Adaptive Graph Neural Network for Category-aware Session-based Recommendation
Chuan Cui, Qi Shen, Shixuan Zhu +4
Session-based recommendation (SBR) is proposed to recommend items within short sessions given that user profiles are invisible in various scenarios nowadays, such as e-commerce and…