| Openagi: When llm meets domain experts Y Ge, W Hua, J Ji, J Tan, S Xu, Z Li, Y Zhang arXiv preprint arXiv:2304.04370, 2023 | 194 | 2023 |
| A survey on trustworthy recommender systems Y Ge, S Liu, Z Fu, J Tan, Z Li, S Xu, Y Li, Y Xian, Y Zhang ACM Transactions on Recommender Systems, 2022 | 73 | 2022 |
| Explainable fairness in recommendation Y Ge, J Tan, Y Zhu, Y Xia, J Luo, S Liu, Z Fu, S Geng, Z Li, Y Zhang Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 70 | 2022 |
| Efficient non-sampling knowledge graph embedding Z Li, J Ji, Z Fu, Y Ge, S Xu, C Chen, Y Zhang Proceedings of the Web Conference 2021, 1727-1736, 2021 | 46 | 2021 |
| Genrec: Large language model for generative recommendation J Ji, Z Li, S Xu, W Hua, Y Ge, J Tan, Y Zhang European Conference on Information Retrieval, 494-502, 2024 | 45 | 2024 |
| Hoops: Human-in-the-loop graph reasoning for conversational recommendation Z Fu, Y Xian, Y Zhu, S Xu, Z Li, G De Melo, Y Zhang Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 39 | 2021 |
| AIOS: LLM agent operating system K Mei, Z Li, S Xu, R Ye, Y Ge, Y Zhang arXiv e-prints, pp. arXiv–2403, 2024 | 26* | 2024 |
| Autolossgen: Automatic loss function generation for recommender systems Z Li, J Ji, Y Ge, Y Zhang Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 23 | 2022 |
| Idgenrec: Llm-recsys alignment with textual id learning J Tan, S Xu, W Hua, Y Ge, Z Li, Y Zhang Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024 | 21* | 2024 |
| From Kepler to Newton: Explainable AI for Science Z Li, J Ji, Y Zhang arXiv preprint arXiv:2111.12210, 2021 | 19 | 2021 |
| Counterfactual collaborative reasoning J Ji, Z Li, S Xu, M Xiong, J Tan, Y Ge, H Wang, Y Zhang Proceedings of the Sixteenth ACM International Conference on Web Search and …, 2023 | 15 | 2023 |
| Counterfactual evaluation for explainable AI Y Ge, S Liu, Z Li, S Xu, S Geng, Y Li, J Tan, F Sun, Y Zhang arXiv preprint arXiv:2109.01962, 2021 | 15 | 2021 |
| Formal-llm: Integrating formal language and natural language for controllable llm-based agents Z Li, W Hua, H Wang, H Zhu, Y Zhang arXiv preprint arXiv:2402.00798, 2024 | 11 | 2024 |
| Trustagent: Towards safe and trustworthy llm-based agents through agent constitution W Hua, X Yang, M Jin, Z Li, W Cheng, R Tang, Y Zhang Trustworthy Multi-modal Foundation Models and AI Agents (TiFA), 2024 | 11 | 2024 |
| PAP-REC: Personalized Automatic Prompt for Recommendation Language Model Z Li, J Ji, Y Ge, W Hua, Y Zhang arXiv preprint arXiv:2402.00284, 2024 | 7 | 2024 |
| CoRE: LLM as Interpreter for Natural Language Programming, Pseudo-Code Programming, and Flow Programming of AI Agents S Xu, Z Li, K Mei, Y Zhang arXiv preprint arXiv:2405.06907, 2024 | 6* | 2024 |
| Autoflow: Automated workflow generation for large language model agents Z Li, S Xu, K Mei, W Hua, B Rama, O Raheja, H Wang, H Zhu, Y Zhang arXiv preprint arXiv:2407.12821, 2024 | 5 | 2024 |
| Disentangling Logic: The Role of Context in Large Language Model Reasoning Capabilities W Hua, K Zhu, L Li, L Fan, S Lin, M Jin, H Xue, Z Li, JD Wang, Y Zhang arXiv preprint arXiv:2406.02787, 2024 | 4 | 2024 |
| TrustAgent: Towards Safe and Trustworthy LLM-based Agents W Hua, X Yang, M Jin, Z Li, W Cheng, R Tang, Y Zhang Findings of the Association for Computational Linguistics: EMNLP 2024, 10000 …, 2024 | | 2024 |
| Explainable and coherent complement recommendation based on large language models Z Li, Y Liang, M Wang, S Yoon, J Shi, X Shen, X He, C Zhang, W Wu, ... Proceedings of the 33rd ACM International Conference on Information and …, 2024 | | 2024 |
Yongfeng ZhangProfessor of Computer Science, Rutgers UniversityVerified email at rutgers.edu
