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 | 2044* | 2023 |
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 | 631 | 2020 |
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 | 289 | 2020 |
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 | 281 | 2023 |
Multi-modal knowledge graphs for recommender systems R Sun, X Cao, Y Zhao, J Wan, K Zhou, F Zhang, Z Wang, K Zheng Proceedings of the 29th ACM international conference on information …, 2020 | 216 | 2020 |
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 | 162 | 2022 |
Towards topic-guided conversational recommender system K Zhou, Y Zhou, WX Zhao, X Wang, JR Wen Proceedings of the 28th International Conference on Computational …, 2020 | 162 | 2020 |
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 | 104 | 2023 |
Debiased contrastive learning of unsupervised sentence representations K Zhou, B Zhang, WX Zhao, JR Wen arXiv preprint arXiv:2205.00656, 2022 | 86 | 2022 |
Towards unified conversational recommender systems via knowledge-enhanced prompt learning X Wang, K Zhou, JR Wen, WX Zhao Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 81 | 2022 |
Don't Make Your LLM an Evaluation Benchmark Cheater K Zhou, Y Zhu, Z Chen, W Chen, WX Zhao, X Chen, Y Lin, JR Wen, J Han arXiv preprint arXiv:2311.01964, 2023 | 53 | 2023 |
C²-CRS: Coarse-to-Fine Contrastive Learning for Conversational Recommender System Y Zhou, K Zhou, WX Zhao, C Wang, P Jiang, H Hu Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022 | 51 | 2022 |
CRSLab: An open-source toolkit for building conversational recommender system K Zhou, X Wang, Y Zhou, C Shang, Y Cheng, WX Zhao, Y Li, JR Wen arXiv preprint arXiv:2101.00939, 2021 | 50 | 2021 |
Learning to match jobs with resumes from sparse interaction data using multi-view co-teaching network S Bian, X Chen, WX Zhao, K Zhou, Y Hou, Y Song, T Zhang, JR Wen Proceedings of the 29th ACM International Conference on Information …, 2020 | 47 | 2020 |
Contrastive curriculum learning for sequential user behavior modeling via data augmentation S Bian, WX Zhao, K Zhou, J Cai, Y He, C Yin, JR Wen Proceedings of the 30th ACM International Conference on Information …, 2021 | 37 | 2021 |
Unsupervised context rewriting for open domain conversation K Zhou, K Zhang, Y Wu, S Liu, J Yu Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 31 | 2019 |
Chatcot: Tool-augmented chain-of-thought reasoning on\\chat-based large language models Z Chen, K Zhou, B Zhang, Z Gong, WX Zhao, JR Wen arXiv preprint arXiv:2305.14323, 2023 | 30 | 2023 |
Simans: Simple ambiguous negatives sampling for dense text retrieval K Zhou, Y Gong, X Liu, WX Zhao, Y Shen, A Dong, J Lu, R Majumder, ... arXiv preprint arXiv:2210.11773, 2022 | 28 | 2022 |
Leveraging historical interaction data for improving conversational recommender system K Zhou, WX Zhao, H Wang, S Wang, F Zhang, Z Wang, JR Wen Proceedings of the 29th ACM international conference on information …, 2020 | 27 | 2020 |
Unikgqa: Unified retrieval and reasoning for solving multi-hop question answering over knowledge graph J Jiang, K Zhou, WX Zhao, JR Wen arXiv preprint arXiv:2212.00959, 2022 | 24 | 2022 |