| How can recommender systems benefit from large language models: A survey J Lin, X Dai, Y Xi, W Liu, B Chen, H Zhang, Y Liu, C Wu, X Li, C Zhu, ... ACM Transactions on Information Systems, 2023 | 203* | 2023 |
| CTRL: Connect Collaborative and Language Model for CTR Prediction X Li, B Chen, L Hou, R Tang ACM TRANSACTIONS ON RECOMMENDER SYSTEMS, 2023 | 55* | 2023 |
| Exploring text-transformers in aaai 2021 shared task: Covid-19 fake news detection in english X Li, Y Xia, X Long, Z Li, S Li CONSTRAINT@AAAI 2021, 106-115, 2021 | 48 | 2021 |
| Fencemask: a data augmentation approach for pre-extracted image features P Li, X Li, X Long arXiv preprint arXiv:2006.07877, 2020 | 30 | 2020 |
| A unified framework for multi-domain ctr prediction via large language models Z Fu, X Li, C Wu, Y Wang, K Dong, X Zhao, M Zhao, H Guo, R Tang ACM Transactions on Information Systems, 2023 | 22 | 2023 |
| Inttower: the next generation of two-tower model for pre-ranking system X Li, B Chen, HF Guo, J Li, C Zhu, X Long, S Li, Y Wang, W Guo, L Mao, ... Proceedings of the 31st ACM International Conference on Information …, 2022 | 18 | 2022 |
| LLM-enhanced Reranking in Recommender Systems J Gao, B Chen, X Zhao, W Liu, X Li, Y Wang, Z Zhang, W Wang, Y Ye, ... arXiv preprint arXiv:2406.12433, 2024 | 9 | 2024 |
| LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation Y Wang, Y Wang, Z Fu, X Li, X Zhao, H Guo, R Tang CIKM 2024, 2024 | 9 | 2024 |
| FLIP: Fine-grained Alignment between ID-based Models and Pretrained Language Models for CTR Prediction H Wang, J Lin, X Li, B Chen, C Zhu, R Tang, W Zhang, Y Yu Proceedings of the 18th ACM Conference on Recommender Systems, 94-104, 2024 | 8* | 2024 |
| AutoGen: An automated dynamic model generation framework for recommender system C Zhu, B Chen, H Guo, H Xu, X Li, X Zhao, W Zhang, Y Yu, R Tang Proceedings of the Sixteenth ACM International Conference on Web Search and …, 2023 | 8 | 2023 |
| Low resource style transfer via domain adaptive meta learning X Li, X Long, Y Xia, S Li NAACL 2022 （oral）, 2022 | 7 | 2022 |
| Coir: A comprehensive benchmark for code information retrieval models X Li, K Dong, YQ Lee, W Xia, Y Yin, H Zhang, Y Liu, Y Wang, R Tang arXiv preprint arXiv:2407.02883, 2024 | 5 | 2024 |
| Tired of plugins? large language models can be end-to-end recommenders W Zhang, C Wu, X Li, Y Wang, K Dong, Y Wang, X Dai, X Zhao, H Guo, ... Coling 2025, 2024 | 5 | 2024 |
| Fencemask: A data augmentation approach for pre-extracted image features. arXiv 2020 P Li, X Li, X Long arXiv preprint arXiv:2006.07877, 0 | 5 | |
| MC-indexing: Effective Long Document Retrieval via Multi-view Content-aware Indexing K Dong, DGX Deik, Y Lee, H Zhang, X Li, C Zhang, Y Liu Findings of the Association for Computational Linguistics: EMNLP 2024, 2673-2691, 2024 | 4* | 2024 |
| CtrlA: Adaptive Retrieval-Augmented Generation via Probe-Guided Control H Liu, H Zhang, Z Guo, K Dong, X Li, YQ Lee, C Zhang, Y Liu arXiv preprint arXiv:2405.18727, 2024 | 3 | 2024 |
| SampleLLM: Optimizing Tabular Data Synthesis in Recommendations J Gao, Z Du, X Li, X Zhao, Y Wang, X Li, H Guo, R Tang arXiv preprint arXiv:2501.16125, 2025 | 1 | 2025 |
| SyNeg: LLM-Driven Synthetic Hard-Negatives for Dense Retrieval X Li, X Li, H Zhang, Z Du, P Jia, Y Wang, X Zhao, H Guo, R Tang arXiv preprint arXiv:2412.17250, 2024 | 1 | 2024 |
| Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation P Jia, D Xu, X Li, Z Du, X Li, X Zhao, Y Wang, Y Wang, H Guo, R Tang arXiv preprint arXiv:2412.08519, 2024 | 1 | 2024 |
| CELA: Cost-Efficient Language Model Alignment for CTR Prediction X Wang, W Liu, X Chen, Q Liu, X Huang, D Lian, X Li, Y Wang, Z Dong, ... arXiv preprint arXiv:2405.10596, 2024 | 1 | 2024 |
Ruiming TangHuaweiE-mailová adresa ověřena na: huawei.com