Ben Liu

According to our database, Ben Liu authored at least 16 papers between 2022 and 2026.

Collaborative distances:

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

2026

TKG-Thinker: Towards Dynamic Reasoning over Temporal Knowledge Graphs via Agentic Reinforcement Learning.

Zihao Jiang, Miao Peng, Zhenyan Shan, Wenjie Xu, Ben Liu, Gong Chen, Ziqi Gao, Min Peng

CoRR, February, 2026

Plan Then Retrieve: Reinforcement Learning-Guided Complex Reasoning over Knowledge Graphs.

Yanlin Song, Ben Liu, Víctor Gutiérrez-Basulto, Zhiwei Hu, Qianqian Xie, Min Peng, Sophia Ananiadou, Jeff Z. Pan

Proceedings of the ACM Web Conference 2026, 2026

2025

A Retrieval-Augmented Multi-Agent Framework for Psychiatry Diagnosis.

Mengxi Xiao, Mang Ye, Ben Liu, Xiaofen Zong, He Li, Jimin Huang, Qianqian Xie, Min Peng

CoRR, June, 2025

One Size doesn't Fit All: A Personalized Conversational Tutoring Agent for Mathematics Instruction.

Ben Liu, Jihan Zhang, Fangquan Lin, Xu Jia, Min Peng

CoRR, February, 2025

Historical facts learning from Long-Short Terms with Language Model for Temporal Knowledge Graph Reasoning.

Wenjie Xu, Ben Liu, Miao Peng, Zihao Jiang, Xu Jia, Kai Liu, Lei Liu, Min Peng

Inf. Process. Manag., 2025

SymAgent: A Neural-Symbolic Self-Learning Agent Framework for Complex Reasoning over Knowledge Graphs.

Ben Liu, Jihai Zhang, Fangquan Lin, Cheng Yang, Min Peng, Wotao Yin

Proceedings of the ACM on Web Conference 2025, 2025

<i>One Size doesn't Fit All</i>: A Personalized Conversational Tutoring Agent for Mathematics Instruction.

Ben Liu, Jihai Zhang, Fangquan Lin, Xu Jia, Min Peng

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Scale Down to Speed Up: Dynamic Data Selection for Reinforcement Learning.

Zhuoyue Chen, Jihai Zhang, Ben Liu, Fangquan Lin, Wotao Yin

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

Filter-then-Generate: Large Language Models with Structure-Text Adapter for Knowledge Graph Completion.

Ben Liu, Jihai Zhang, Fangquan Lin, Cheng Yang, Min Peng

Proceedings of the 31st International Conference on Computational Linguistics, 2025

Towards Explainable Temporal Reasoning in Large Language Models: A Structure-Aware Generative Framework.

Zihao Jiang, Ben Liu, Miao Peng, Wenjie Xu, Yao Xiao, Zhenyan Shan, Min Peng

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

2024

UniLP: Unified Topology-aware Generative Framework for Link Prediction in Knowledge Graph.

Ben Liu, Miao Peng, Wenjie Xu, Xu Jia, Min Peng

Proceedings of the ACM on Web Conference 2024, 2024

Deja vu: Contrastive Historical Modeling with Prefix-tuning for Temporal Knowledge Graph Reasoning.

Miao Peng, Ben Liu, Wenjie Xu, Zihao Jiang, Jiahui Zhu, Min Peng

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

Clarified Aggregation and Predictive Modeling (CAPM): High-Interpretability Framework for Inductive Link Prediction.

Mengxi Xiao, Ben Liu, Miao Peng, Wenjie Xu, Min Peng

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

Neighboring relation enhanced inductive knowledge graph link prediction via meta-learning.

Ben Liu, Miao Peng, Wenjie Xu, Min Peng

World Wide Web (WWW), September, 2023

Pre-trained Language Model with Prompts for Temporal Knowledge Graph Completion.

Wenjie Xu, Ben Liu, Miao Peng, Xu Jia, Min Peng

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

2022

SMiLE: Schema-augmented Multi-level Contrastive Learning for Knowledge Graph Link Prediction.

Miao Peng, Ben Liu, Qianqian Xie, Wenjie Xu, Hua Wang, Min Peng

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022