Pan, Jeff Z.

Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning

Yan, S., Yang, X., Huang, Z., Nie, E., Ding, Z., Li, Z., Ma, X., Bi, J., Kersting, K., Pan, J. Z., et al. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 297

Towards Competency Question-Driven Ontology Authoring

Ren, Y., Parvizi, A., Mellish, C., Pan, J. Z., van Deemter, K., & Stevens, R. (2014) · Lecture Notes in Computer Science

Semantic Web and OntologiesBiomedical Text Mining and Ontologies

Cited by 126

Entity Enabled Relation Linking

Pan, J. Z., Zhang, M., Singh, K., Harmelen, F. V., Gu, J., & Zhang, Z. (2019) · Lecture Notes in Computer Science

Topic ModelingSemantic Web and Ontologies

Cited by 20

Less is More: Making Smaller Language Models Competent Subgraph Retrievers for Multi-hop KGQA

Huang, W., Zhou, G., Wang, H., Vougiouklis, P., Lapata, M., & Pan, J. Z. (2024) · Findings of the Association for Computational Linguistics: EMNLP 2024

Topic ModelingInformation Retrieval and Search Behavior

Cited by 2

Rethinking Memory in LLM based Agents: Representations, Operations, and Emerging Topics

Du, Y., Huang, W., Zheng, D., Wang, Z., Montella, S., Lapata, M., Wong, K.-F., & Pan, J. Z. (2025) · arXiv

Topic ModelingAI-based Problem Solving and Planning

Cited by 1

SkillNet: Create, Evaluate, and Connect AI Skills

Liang, Y., Zhong, R., Xu, H., Jiang, C., Zhong, Y., Fang, R., Gu, J.-C., Deng, S., Yao, Y., Wang, M., et al. (2026) · arXiv

AI-based Problem Solving and PlanningReinforcement Learning in Robotics

Cited by 1

A Usage-centric Take on Intent Understanding in E-Commerce

Zhou, W., Li, T., Vougiouklis, P., Steedman, M., & Pan, J. Z. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Recommender Systems and TechniquesSemantic Web and Ontologies

Cited by 1

A Large-scale Offer Alignment Model for Partitioning Filtering and Matching Product Offers

Huang, W., Melo, A., & Pan, J. Z. (2024) · Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval

Data Quality and ManagementTopic Modeling

Cited by 0

PatchWorld: Gradient-Free Optimization of Executable World Models for Agent Environments

Bai, J., Guo, Y., Dong, Y., Xiong, J., Zheng, T., Li, Y., Fang, T., Li, Y., Gao, Y., Huang, H., et al. (2026) · arXiv

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 0

Mitigating Context Interference for Reliable and Efficient Search Agents

Xue, B., Wu, B., Qiao, S., Wang, S., Wang, R., Du, Y., Wang, H., Pan, J. Z., Yilmaz, E., Wong, K.-F., et al. (2026) · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Information Retrieval and Search BehaviorTopic Modeling

Cited by 0