| 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 | 242 | 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 3 (2), 1-68, 2024 | 89 | 2024 |
| 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 | 73 | 2022 |
| 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 | 57 | 2024 |
| 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 | 48 | 2021 |
| 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 | 42 | 2021 |
| Aios: Llm agent operating system K Mei, X Zhu, W Xu, W Hua, M Jin, Z Li, S Xu, R Ye, Y Ge, Y Zhang arXiv preprint arXiv:2403.16971, 2024 | 36 | 2024 |
| 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 | 28* | 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 | 27 | 2022 |
| Trustagent: Towards safe and trustworthy llm-based agents W Hua, X Yang, M Jin, Z Li, W Cheng, R Tang, Y Zhang arXiv preprint arXiv:2402.01586, 2024 | 26* | 2024 |
| 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 | 21 | 2023 |
| From Kepler to Newton: Explainable AI for Science Z Li, J Ji, Y Zhang arXiv preprint arXiv:2111.12210, 2021 | 21 | 2021 |
| 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 | 17 | 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 | 13 | 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 | 12 | 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 e-prints, arXiv: 2405.06907, 2024 | 10* | 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 | 8 | 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 | 5 | 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 | 1 | 2024 |
| Efficient Non-Sampling Graph Neural Networks J Ji, Z Li, S Xu, Y Ge, J Tan, Y Zhang Information 14 (8), 424, 2023 | | 2023 |
Yongfeng ZhangProfessor of Computer Science, Rutgers UniversityПідтверджена електронна адреса в rutgers.edu
