Yikai Guo

According to our database, Yikai Guo authored at least 21 papers between 2023 and 2026.

Collaborative distances:

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

2026

LogicICL: Towards Instructive Logical-Aware Demonstrations for Stimulating LLMs Mathematical Reasoning Ability.

Yao He, Jiajun Liu, Wantao Wen, Yikai Guo, Hanchao Chen, Yue Ma, Wenjun Ke, Peng Wang

IEEE Trans. Emerg. Top. Comput. Intell., April, 2026

CGDA: Enhancing low-resource event causality extraction via consistency-guided data augmentation.

Junjie Hu, Yao He, Yuting Yang, Zhi Fang, Jing Chen, Xuemeng Tian, Yikai Guo

Neurocomputing, 2026

ConsistEAE: Enhancing low-resource event argument extraction with linguistically consistent demonstrations.

Yikai Guo, Xuemeng Tian, Bin Ge, Yuting Yang, Yao He, Wenjun Ke, Junjie Hu, Yanyang Li, Haoran Luo

Neurocomputing, 2026

2025

Graph-R1: Towards Agentic GraphRAG Framework via End-to-end Reinforcement Learning.

Haoran Luo, Haihong E, Guanting Chen, Qika Lin, Yikai Guo, Fangzhi Xu, Ze-min Kuang, Meina Song, Xiaobao Wu, Yifan Zhu, Luu Anh Tuan

CoRR, July, 2025

HyperGraphRAG: Retrieval-Augmented Generation with Hypergraph-Structured Knowledge Representation.

Haoran Luo, Haihong E, Guanting Chen, Yandan Zheng, Xiaobao Wu, Yikai Guo, Qika Lin, Yu Feng, Ze-min Kuang, Meina Song, Yifan Zhu, Luu Anh Tuan

CoRR, March, 2025

KBQA-o1: Agentic Knowledge Base Question Answering with Monte Carlo Tree Search.

Haoran Luo, Haihong E, Yikai Guo, Qika Lin, Xiaobao Wu, Xinyu Mu, Wenhao Liu, Meina Song, Yifan Zhu, Anh Tuan Luu

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

MDM: Meta diffusion model for hard-constrained text generation.

Wenjun Ke, Yikai Guo, Qi Liu, Wanyi Chen, Peng Wang, Haoran Luo, Zhizhao Luo

Knowl. Based Syst., January, 2024

Agent-DA: Enhancing low-resource event extraction with collaborative multi-agent data augmentation.

Xuemeng Tian, Yikai Guo, Bin Ge, Xiaoguang Yuan, Hang Zhang, Yuting Yang, Wenjun Ke, Guozheng Li

Knowl. Based Syst., 2024

Unveiling factuality and injecting knowledge for LLMs via reinforcement learning and data proportion.

Wenjun Ke, Ziyu Shang, Zhizhao Luo, Peng Wang, Yikai Guo, Qi Liu, Yuxuan Chen

Sci. China Inf. Sci., 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 37: Annual Conference on Neural Information Processing Systems 2024, 2024

CN-T9: Optimization of T9 Chinese input layout.

Yikai Guo, Jixiao He, Rongtian Bai, Zhengyang Wu, Yuhang Huang

Proceedings of the Adjunct Proceedings of the 26th International Conference on Mobile Human-Computer Interaction, 2024

Empirical Analysis of Dialogue Relation Extraction with Large Language Models.

Guozheng Li, Zijie Xu, Ziyu Shang, Jiajun Liu, Ke Ji, Yikai Guo

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Meta In-Context Learning Makes Large Language Models Better Zero and Few-Shot Relation Extractors.

Guozheng Li, Peng Wang, Jiajun Liu, Yikai Guo, Ke Ji, Ziyu Shang, Zijie Xu

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Recall, Retrieve and Reason: Towards Better In-Context Relation Extraction.

Guozheng Li, Peng Wang, Wenjun Ke, Yikai Guo, Ke Ji, Ziyu Shang, Jiajun Liu, Zijie Xu

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Boosting LLMS with Ontology-Aware Prompt for Ner Data Augmentation.

Zhizhao Luo, Youchen Wang, Wenjun Ke, Rui Qi, Yikai Guo, Peng Wang

Proceedings of the IEEE International Conference on Acoustics, 2024

ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language Models.

Haoran Luo, Haihong E, Zichen Tang, Shiyao Peng, Yikai Guo, Wentai Zhang, Chenghao Ma, Guanting Dong, Meina Song, Wei Lin, Yifan Zhu, Anh Tuan Luu

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Runoff Responses of Various Driving Factors in a Typical Basin in Beijing-Tianjin-Hebei Area.

Zhaohui Feng, Siyang Liu, Yikai Guo, Xiaojie Liu

Remote. Sens., February, 2023

ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language Models.

Haoran Luo, Haihong E, Zichen Tang, Shiyao Peng, Yikai Guo, Wentai Zhang, Chenghao Ma, Guanting Dong, Meina Song, Wei Lin

CoRR, 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