Lian, Jianxun

Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations

Huang, X., Lian, J., Lei, Y., Yao, J., Lian, D., & Xie, X. (2023) · arXiv

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 89

Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations

Huang, X., Lian, J., Lei, Y., Yao, J., Lian, D., & Xie, X. (2025) · ACM Transactions on Information Systems

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 89

Large Language Models Understand and Can be Enhanced by Emotional Stimuli

Li, C., Wang, J., Zhang, Y., Zhu, K., Hou, W., Lian, J., Luo, F., Yang, Q., & Xie, X. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 59

Explaining Length Bias in LLM-Based Preference Evaluations

Hu, Z., Song, L., Zhang, J., Xiao, Z., Wang, T., Chen, Z., Yuan, N. J., Lian, J., Ding, K., & Xiong, H. (2025) · Findings of the Association for Computational Linguistics: EMNLP 2025

Recommender Systems and TechniquesSentiment Analysis and Opinion Mining

Cited by 4

Agensh: Scaling Organizational Intelligence to 1,024 Agents

Zhan, Z., Song, T., Dong, L., Huang, S., Lian, J., Xia, Y., & Wei, F. (2026) · arXiv

Multi-Agent Systems and NegotiationParallel Computing and Optimization Techniques

Cited by 0