Kaiyang Wan

According to our database, Kaiyang Wan authored at least 12 papers between 2022 and 2025.

Collaborative distances:

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

2025

AI Security Beyond Core Domains: Resume Screening as a Case Study of Adversarial Vulnerabilities in Specialized LLM Applications.

Honglin Mu, Jinghao Liu, Kaiyang Wan, Rui Xing, Xiuying Chen, Timothy Baldwin, Wanxiang Che

CoRR, December, 2025

A Fano-Style Accuracy Upper Bound for LLM Single-Pass Reasoning in Multi-Hop QA.

Kaiyang Wan, Lang Gao, Honglin Mu, Preslav Nakov, Yuxia Wang, Xiuying Chen

CoRR, September, 2025

Evaluate Bias without Manual Test Sets: A Concept Representation Perspective for LLMs.

Lang Gao, Kaiyang Wan, Wei Liu, Chenxi Wang, Zirui Song, Zixiang Xu, Yanbo Wang, Veselin Stoyanov, Xiuying Chen

CoRR, May, 2025

From Individuals to Crowds: Dual-Level Public Response Prediction in Social Media.

Jinghui Zhang, Kaiyang Wan, Longwei Xu, Ao Li, Zongfang Liu, Xiuying Chen

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

A Cognitive Writing Perspective for Constrained Long-Form Text Generation.

Kaiyang Wan, Honglin Mu, Rui Hao, Haoran Luo, Tianle Gu, Xiuying Chen

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Flipping Knowledge Distillation: Leveraging Small Models' Expertise to Enhance LLMs in Text Matching.

Mingzhe Li, Jing Xiang, Qishen Zhang, Kaiyang Wan, Xiuying Chen

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Text2NKG: Fine-Grained N-ary Relation Extraction for N-ary relational Knowledge Graph Construction.

Haoran Luo, Haihong E, Yuhao Yang, Tianyu Yao, Yikai Guo, Zichen Tang, Wentai Zhang, Shiyao Peng, Kaiyang Wan, Meina Song, Wei Lin, Yifan Zhu, Anh Tuan Luu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Text2NKG: Fine-Grained N-ary Relation Extraction for N-ary relational Knowledge Graph Construction.

Haoran Luo, Haihong E, Yuhao Yang, Tianyu Yao, Yikai Guo, Zichen Tang, Wentai Zhang, Kaiyang Wan, Shiyao Peng, Meina Song, Wei Lin

CoRR, 2023

HAHE: Hierarchical Attention for Hyper-Relational Knowledge Graphs in Global and Local Level.

Haoran Luo, Haihong E, Yuhao Yang, Yikai Guo, Mingzhi Sun, Tianyu Yao, Zichen Tang, Kaiyang Wan, Meina Song, Wei Lin

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

NQE: N-ary Query Embedding for Complex Query Answering over Hyper-Relational Knowledge Graphs.

Haoran Luo, Haihong E, Yuhao Yang, Gengxian Zhou, Yikai Guo, Tianyu Yao, Zichen Tang, Xueyuan Lin, Kaiyang Wan

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

DHGE: Dual-View Hyper-Relational Knowledge Graph Embedding for Link Prediction and Entity Typing.

Haoran Luo, Haihong E, Ling Tan, Gengxian Zhou, Tianyu Yao, Kaiyang Wan

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

2022

DHGE: Dual-view Hyper-Relational Knowledge Graph Embedding for Link Prediction and Entity Typing.

Haoran Luo, Haihong E, Ling Tan, Xueyuan Lin, Gengxian Zhou, Jundi Li, Tianyu Yao, Kaiyang Wan

CoRR, 2022