| A survey of large language models WX Zhao, K Zhou, J Li, T Tang, X Wang, Y Hou, Y Min, B Zhang, J Zhang, ... arXiv preprint arXiv:2303.18223 1 (2), 2023 | 4426* | 2023 |
| Large language models are zero-shot rankers for recommender systems Y Hou, J Zhang, Z Lin, H Lu, R Xie, J McAuley, WX Zhao European Conference on Information Retrieval, 364-381, 2024 | 361 | 2024 |
| Recommendation as instruction following: A large language model empowered recommendation approach J Zhang, R Xie, Y Hou, X Zhao, L Lin, JR Wen ACM Transactions on Information Systems, 2023 | 209 | 2023 |
| AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems J Zhang, Y Hou, R Xie, W Sun, J McAuley, WX Zhao, L Lin, JR Wen | 61 | 2023 |
| Prompting large language models for recommender systems: A comprehensive framework and empirical analysis L Xu, J Zhang, B Li, J Wang, M Cai, WX Zhao, JR Wen arXiv preprint arXiv:2401.04997, 2024 | 47 | 2024 |
| Towards a more user-friendly and easy-to-use benchmark library for recommender systems L Xu, Z Tian, G Zhang, J Zhang, L Wang, B Zheng, Y Li, J Tang, Z Zhang, ... Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 29 | 2023 |
| Generative next-basket recommendation W Sun, R Xie, J Zhang, WX Zhao, L Lin, JR Wen Proceedings of the 17th ACM Conference on Recommender Systems, 737-743, 2023 | 11 | 2023 |
| Distillation is all you need for practically using different pre-trained recommendation models W Sun, R Xie, J Zhang, WX Zhao, L Lin, JR Wen CoRR, 2024 | 7 | 2024 |
| Sequence-level Semantic Representation Fusion for Recommender Systems L Xu, Z Tian, B Li, J Zhang, D Wang, H Wang, J Wang, S Chen, WX Zhao Proceedings of the 33rd ACM International Conference on Information and …, 2024 | 4 | 2024 |
| AuriSRec: Adversarial User Intention Learning in Sequential Recommendation J Zhang, R Xie, W Sun, L Lin, WX Zhao, JR Wen Findings of the Association for Computational Linguistics: EMNLP 2024, 12580 …, 2024 | 2 | 2024 |
| Enhancing Graph Contrastive Learning with Reliable and Informative Augmentation for Recommendation B Zheng, J Zhang, H Lu, Y Chen, M Chen, WX Zhao, JR Wen arXiv preprint arXiv:2409.05633, 2024 | 2 | 2024 |
