22 citations · 42 across the 10 of their papers we have counts for
5 papers · 1 filter
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 Positive-Unlabeled Metric Learning Framework for Document-Level Relation Extraction with Incomplete Labeling
Ye Wang, Huazheng Pan, Tao Zhang +2
The goal of document-level relation extraction (RE) is to identify relations between entities that span multiple sentences. Recently, incomplete labeling in document-level RE has r…
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…