| A survey on large language models for recommendation L Wu, Z Zheng, Z Qiu, H Wang, H Gu, T Shen, C Qin, C Zhu, H Zhu, Q Liu, ... World Wide Web 27 (5), 60, 2024 | 318 | 2024 |
| A survey on large language models for recommendation (2023) L Wu, Z Zheng, Z Qiu, H Wang, H Gu, T Shen, C Qin, C Zhu, H Zhu, Q Liu, ... URL: https://arxiv. org/abs/2305.19860, 2023 | 13 | 2023 |
| Exploring User Retrieval Integration towards Large Language Models for Cross-Domain Sequential Recommendation T Shen, H Wang, J Zhang, S Zhao, L Li, Z Chen, D Lian, E Chen arXiv preprint arXiv:2406.03085, 2024 | 11 | 2024 |
| Bridging User Dynamics: Transforming Sequential Recommendations with Schrödinger Bridge and Diffusion Models W Xie, R Zhou, H Wang, T Shen, E Chen Proceedings of the 33rd ACM International Conference on Information and …, 2024 | 6 | 2024 |
| A Survey on Large Language Models for Recommendation. ArXiv abs/2305.19860 (2023) L Wu, Z Zheng, Z Qiu, H Wang, H Gu, T Shen, C Qin, C Zhu, H Zhu, Q Liu, ... | 6 | 2023 |
| Scaling New Frontiers: Insights into Large Recommendation Models W Guo, H Wang, L Zhang, JY Chin, Z Liu, K Cheng, Q Pan, YQ Lee, ... arXiv preprint arXiv:2412.00714, 2024 | 2 | 2024 |
| Predictive Models in Sequential Recommendations: Bridging Performance Laws with Data Quality Insights T Shen, H Wang, C Wu, JY Chin, W Guo, Y Liu, H Guo, D Lian, R Tang, ... arXiv preprint arXiv:2412.00430, 2024 | 2 | 2024 |
| Knowledge Graph Integration and Self-Verification for Comprehensive Retrieval-Augmented Generation C Wu, T Shen, R Yan, H Wang, Z Liu, W Zhen, D Lian, E Chen 2024 KDD Cup Workshop for Retrieval Augmented Generation, 2024 | 1 | 2024 |
Hao WangUniversity of Science and Technology of ChinaVerified email at ustc.edu.cn