| 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, 2023 | 4303* | 2023 |
| Comparing twitter and traditional media using topic models WX Zhao, J Jiang, J Weng, J He, EP Lim, H Yan, X Li Advances in Information Retrieval: 33rd European Conference on IR Research …, 2011 | 1918 | 2011 |
| Heterogeneous information network embedding for recommendation C Shi, B Hu, WX Zhao, SY Philip IEEE transactions on knowledge and data engineering 31 (2), 357-370, 2018 | 1229 | 2018 |
| A survey on large language model based autonomous agents L Wang, C Ma, X Feng, Z Zhang, H Yang, J Zhang, Z Chen, J Tang, ... Frontiers of Computer Science 18 (6), 186345, 2024 | 1002 | 2024 |
| Pre-trained models: Past, present and future X Han, Z Zhang, N Ding, Y Gu, X Liu, Y Huo, J Qiu, Y Yao, A Zhang, ... AI Open 2, 225-250, 2021 | 957 | 2021 |
| S3-rec: Self-supervised learning for sequential recommendation with mutual information maximization K Zhou, H Wang, WX Zhao, Y Zhu, S Wang, F Zhang, Z Wang, JR Wen Proceedings of the 29th ACM international conference on information …, 2020 | 846 | 2020 |
| Leveraging meta-path based context for top-n recommendation with a neural co-attention model B Hu, C Shi, WX Zhao, PS Yu Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018 | 777 | 2018 |
| Evaluating object hallucination in large vision-language models Y Li, Y Du, K Zhou, J Wang, WX Zhao, JR Wen arXiv preprint arXiv:2305.10355, 2023 | 755 | 2023 |
| RocketQA: An optimized training approach to dense passage retrieval for open-domain question answering Y Qu, Y Ding, J Liu, K Liu, R Ren, WX Zhao, D Dong, H Wu, H Wang arXiv preprint arXiv:2010.08191, 2020 | 601 | 2020 |
| Improving sequential recommendation with knowledge-enhanced memory networks J Huang, WX Zhao, H Dou, JR Wen, EY Chang The 41st international ACM SIGIR conference on research & development in …, 2018 | 598 | 2018 |
| Jointly Modeling Aspects and Opinions with a MaxEnt-LDA Hybrid X ZHAO, J JIANG, H YAN, X LI 2010 Conference on Empirical Methods in Natural Language Processing, 56-65, 2010 | 552 | 2010 |
| Recbole: Towards a unified, comprehensive and efficient framework for recommendation algorithms WX Zhao, S Mu, Y Hou, Z Lin, Y Chen, X Pan, K Li, Y Lu, H Wang, C Tian, ... proceedings of the 30th acm international conference on information …, 2021 | 463* | 2021 |
| Pre-trained language models for text generation: A survey J Li, T Tang, WX Zhao, JY Nie, JR Wen ACM Computing Surveys 56 (9), 1-39, 2024 | 449 | 2024 |
| Improving graph collaborative filtering with neighborhood-enriched contrastive learning Z Lin, C Tian, Y Hou, WX Zhao Proceedings of the ACM web conference 2022, 2320-2329, 2022 | 448 | 2022 |
| Multi-turn response selection for chatbots with deep attention matching network X Zhou, L Li, D Dong, Y Liu, Y Chen, WX Zhao, D Yu, H Wu Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 408 | 2018 |
| Halueval: A large-scale hallucination evaluation benchmark for large language models J Li, X Cheng, WX Zhao, JY Nie, JR Wen arXiv preprint arXiv:2305.11747, 2023 | 378 | 2023 |
| Topical keyphrase extraction from twitter WX Zhao, J Jiang, J He, Y Song, P Achanauparp, EP Lim, X Li Proceedings of the 49th annual meeting of the association for computational …, 2011 | 370 | 2011 |
| 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 | 357 | 2024 |
| Improving conversational recommender systems via knowledge graph based semantic fusion K Zhou, WX Zhao, S Bian, Y Zhou, JR Wen, J Yu Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 355 | 2020 |
| A survey on complex knowledge base question answering: Methods, challenges and solutions Y Lan, G He, J Jiang, J Jiang, WX Zhao, JR Wen arXiv preprint arXiv:2105.11644, 2021 | 295* | 2021 |
Ji-Rong WenRenmin University of ChinaVahvistettu sähköpostiosoite verkkotunnuksessa ruc.edu.cn