| UltraGCN: ultra simplification of graph convolutional networks for recommendation K Mao, J Zhu, X Xiao, B Lu, Z Wang, X He CIKM 2021, 2021 | 350 | 2021 |
| SimpleX: A simple and strong baseline for collaborative filtering K Mao, J Zhu, J Wang, Q Dai, Z Dong, X Xiao, X He CIKM 2021, 2021 | 162 | 2021 |
| Large language models know your contextual search intent: A prompting framework for conversational search K Mao, Z Dou, F Mo, J Hou, H Chen, H Qian Findings of EMNLP 2023, 2023 | 86 | 2023 |
| FinalMLP: an enhanced two-stream MLP model for CTR prediction K Mao, J Zhu, L Su, G Cai, Y Li, Z Dong AAAI 2023, 2023 | 76 | 2023 |
| Molecular graph enhanced transformer for retrosynthesis prediction K Mao, X Xiao, T Xu, Y Rong, J Huang, P Zhao Neurocomputing 2021, 2021 | 76 | 2021 |
| ConvGQR: generative query reformulation for conversational search F Mo, K Mao, Y Zhu, Y Wu, K Huang, JY Nie ACL 2023, 2023 | 47 | 2023 |
| Curriculum contrastive context denoising for few-shot conversational dense retrieval K Mao, Z Dou, H Qian SIGIR 2022, 2022 | 44 | 2022 |
| Learning denoised and interpretable session representation for conversational search K Mao, H Qian, F Mo, Z Dou, B Liu, X Cheng, Z Cao TheWebConf 2023, 2023 | 30 | 2023 |
| Convtrans: Transforming web search sessions for conversational dense retrieval K Mao, Z Dou, H Qian, F Mo, X Cheng, Z Cao EMNLP 2022, 2022 | 26 | 2022 |
| Item tagging for information retrieval: A tripartite graph neural network based approach K Mao, X Xiao, J Zhu, B Lu, R Tang, X He SIGIR 2020, 2020 | 26 | 2020 |
| Learning to relate to previous turns in conversational search F Mo, JY Nie, K Huang, K Mao, Y Zhu, P Li, Y Liu KDD 2023, 2023 | 22 | 2023 |
| Search-oriented conversational query editing K Mao, Z Dou, B Liu, H Qian, F Mo, X Wu, X Cheng, Z Cao Findings of ACL 2023, 2023 | 17 | 2023 |
| History-aware conversational dense retrieval F Mo, C Qu, K Mao, T Zhu, Z Su, K Huang, JY Nie arXiv preprint arXiv:2401.16659, 2024 | 16 | 2024 |
| Generalizing conversational dense retrieval via llm-cognition data augmentation H Chen, Z Dou, K Mao, J Liu, Z Zhao arXiv preprint arXiv:2402.07092, 2024 | 15 | 2024 |
| Memorag: Moving towards next-gen rag via memory-inspired knowledge discovery H Qian, P Zhang, Z Liu, K Mao, Z Dou arXiv preprint arXiv:2409.05591, 2024 | 13 | 2024 |
| Convsdg: Session data generation for conversational search F Mo, B Yi, K Mao, C Qu, K Huang, JY Nie Companion Proceedings of the ACM Web Conference 2024, 1634-1642, 2024 | 13 | 2024 |
| ChatRetriever: Adapting Large Language Models for Generalized and Robust Conversational Dense Retrieval K Mao, C Deng, H Chen, F Mo, Z Liu, T Sakai, Z Dou EMNLP 2024, 2024 | 13 | 2024 |
| Grounding language model with chunking-free in-context retrieval H Qian, Z Liu, K Mao, Y Zhou, Z Dou arXiv preprint arXiv:2402.09760, 2024 | 13 | 2024 |
| A survey of conversational search F Mo, K Mao, Z Zhao, H Qian, H Chen, Y Cheng, X Li, Y Zhu, Z Dou, ... arXiv preprint arXiv:2410.15576, 2024 | 11 | 2024 |
| Are Long-LLMs A Necessity For Long-Context Tasks? H Qian, Z Liu, P Zhang, K Mao, Y Zhou, X Chen, Z Dou arXiv preprint arXiv:2405.15318, 2024 | 11 | 2024 |
Zhicheng DouRenmin University of ChinaПотвърден имейл адрес: ruc.edu.cn
