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 | 2428* | 2023 |
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 | 87 | 2022 |
Rethinking the evaluation for conversational recommendation in the era of large language models X Wang, X Tang, WX Zhao, J Wang, JR Wen arXiv preprint arXiv:2305.13112, 2023 | 60 | 2023 |
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 | 51 | 2021 |
Alleviating the long-tail problem in conversational recommender systems Z Zhao, K Zhou, X Wang, WX Zhao, F Pan, Z Cao, JR Wen Proceedings of the 17th ACM Conference on Recommender Systems, 374-385, 2023 | 6 | 2023 |
Improving conversational recommendation systems via counterfactual data simulation X Wang, K Zhou, X Tang, WX Zhao, F Pan, Z Cao, JR Wen Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 5 | 2023 |
Language-specific neurons: The key to multilingual capabilities in large language models T Tang, W Luo, H Huang, D Zhang, X Wang, X Zhao, F Wei, JR Wen arXiv preprint arXiv:2402.16438, 2024 | 4 | 2024 |
YuLan: An Open-source Large Language Model Y Zhu, K Zhou, K Mao, W Chen, Y Sun, Z Chen, Q Cao, Y Wu, Y Chen, ... arXiv preprint arXiv:2406.19853, 2024 | 1 | 2024 |
Unleashing the Potential of Large Language Models as Prompt Optimizers: An Analogical Analysis with Gradient-based Model Optimizers X Tang, X Wang, WX Zhao, S Lu, Y Li, JR Wen arXiv preprint arXiv:2402.17564, 2024 | 1 | 2024 |
Investigating the Pre-Training Dynamics of In-Context Learning: Task Recognition vs. Task Learning X Wang, X Tang, WX Zhao, JR Wen arXiv preprint arXiv:2406.14022, 2024 | | 2024 |