22 citations · 36 across the 7 of their papers we have counts for
7 papers
Disentangled Modeling of Preferences and Social Influence for Group Recommendation
Guangze Ye, Wen Wu, Guoqing Wang +3
The group recommendation (GR) aims to suggest items for a group of users in social networks. Existing work typically considers individual preferences as the sole factor in aggregat…
Metacognition-Enhanced Few-Shot Prompting With Positive Reinforcement
Yu Ji, Wen Wu, Yi Hu +2
Few-shot prompting elicits the remarkable abilities of large language models by equipping them with a few demonstration examples in the input. However, the traditional method of pr…
Is ChatGPT a Good Personality Recognizer? A Preliminary Study
Yu Ji, Wen Wu, Hong Zheng +3
In recent years, personality has been regarded as a valuable personal factor being incorporated into numerous tasks such as sentiment analysis and product recommendation. This has…
A Personality-Guided Preference Aggregator for Ephemeral Group Recommendation
Guangze Ye, Wen Wu, Liye Shi +3
Ephemeral group recommendation (EGR) aims to suggest items for a group of users who come together for the first time. Existing work typically consider individual preferences as the…
Tell Model Where to Attend: Improving Interpretability of Aspect-Based Sentiment Classification via Small Explanation Annotations
Zhenxiao Cheng, Jie Zhou, Wen Wu +2
Gradient-based explanation methods play an important role in the field of interpreting complex deep neural networks for NLP models. However, the existing work has shown that the gr…
Self-Attentive Sequential Recommendation with Cheap Causal Convolutions
Jiayi Chen, Wen Wu, Liye Shi +5
Sequential Recommendation is a prominent topic in current research, which uses user behavior sequence as an input to predict future behavior. By assessing the correlation strength…
DACSR: Decoupled-Aggregated End-to-End Calibrated Sequential Recommendation
Jiayi Chen, Wen Wu, Liye Shi +4
Sequential recommendations have made great strides in accurately predicting the future behavior of users. However, seeking accuracy alone may bring side effects such as unfair and…