| 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 | 7941* | 2023 |
| 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 | 2591 | 2024 |
| Comparing twitter and traditional media using topic models WX Zhao, J Jiang, J Weng, J He, EP Lim, H Yan, X Li European conference on information retrieval, 338-349, 2011 | 1939 | 2011 |
| 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 | 1724 | 2023 |
| Heterogeneous information network embedding for recommendation C Shi, B Hu, WX Zhao, PS Yu IEEE transactions on knowledge and data engineering 31 (2), 357-370, 2018 | 1349 | 2018 |
| 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 | 1300 | 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 | 1192 | 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 | 869 | 2018 |
| 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 Proceedings of the 2021 conference of the North American chapter of the …, 2021 | 775 | 2021 |
| 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 | 767 | 2023 |
| 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 | 734 | 2024 |
| 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 | 684 | 2018 |
| 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 | 677 | 2022 |
| 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 | 662* | 2021 |
| Pdformer: Propagation delay-aware dynamic long-range transformer for traffic flow prediction J Jiang, C Han, WX Zhao, J Wang Proceedings of the AAAI conference on artificial intelligence 37 (4), 4365-4373, 2023 | 652 | 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 | 622 | 2024 |
| 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 | 557 | 2010 |
| Structgpt: A general framework for large language model to reason over structured data J Jiang, K Zhou, Z Dong, K Ye, WX Zhao, JR Wen arXiv preprint arXiv:2305.09645, 2023 | 528 | 2023 |
| Filter-enhanced MLP is all you need for sequential recommendation K Zhou, H Yu, WX Zhao, JR Wen Proceedings of the ACM web conference 2022, 2388-2399, 2022 | 454 | 2022 |
| 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 | 454* | 2021 |
Ji-Rong WenGaoling School of Artificial Intelligence, Renmin University of ChinaVerified email at ruc.edu.cn
