Xiaoqiang Wang

According to our database, Xiaoqiang Wang authored at least 9 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

FAC²E: Better Understanding Large Language Model Capabilities by Dissociating Language and Cognition.

Xiaoqiang Wang, Bang Liu, Lingfei Wu

CoRR, 2024

FAC²E: Better Understanding Large Language Model Capabilities by Dissociating Language and Cognition.

Xiaoqiang Wang, Lingfei Wu, Tengfei Ma, Bang Liu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

S $^3$ Net: Self-Supervised Self-Ensembling Network for Semi-Supervised RGB-D Salient Object Detection.

Lei Zhu, Xiaoqiang Wang, Ping Li, Xin Yang, Qing Zhang, Weiming Wang, Carola-Bibiane Schönlieb, C. L. Philip Chen

IEEE Trans. Multim., 2023

Reasoning Makes Good Annotators : An Automatic Task-specific Rules Distilling Framework for Low-resource Relation Extraction.

Yilin Lu, Juncheng Li, Xiaoqiang Wang, Haochen Shi, Tao Chen, Siliang Tang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

SkillQG: Learning to Generate Question for Reading Comprehension Assessment.

Xiaoqiang Wang, Bang Liu, Siliang Tang, Lingfei Wu

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

KICE: A Knowledge Consolidation and Expansion Framework for Relation Extraction.

Yilin Lu, Xiaoqiang Wang, Haofeng Yang, Siliang Tang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Boosting RGB-D Saliency Detection by Leveraging Unlabeled RGB Images.

Xiaoqiang Wang, Lei Zhu, Siliang Tang, Huazhu Fu, Ping Li, Fei Wu, Yi Yang, Yueting Zhuang

IEEE Trans. Image Process., 2022

QRelScore: Better Evaluating Generated Questions with Deeper Understanding of Context-aware Relevance.

Xiaoqiang Wang, Bang Liu, Siliang Tang, Lingfei Wu

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Feeding What You Need by Understanding What You Learned.

Xiaoqiang Wang, Bang Liu, Fangli Xu, Bo Long, Siliang Tang, Lingfei Wu

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022