| Few-shot generative conversational query rewriting S Yu, J Liu, J Yang, C Xiong, P Bennett, J Gao, Z Liu Proceedings of the 43rd International ACM SIGIR conference on research and …, 2020 | 152 | 2020 |
| Few-shot conversational dense retrieval S Yu, Z Liu, C Xiong, T Feng, Z Liu Proceedings of the 44th International ACM SIGIR Conference on research and …, 2021 | 123 | 2021 |
| Augmentation-adapted retriever improves generalization of language models as generic plug-in Z Yu, C Xiong, S Yu, Z Liu arXiv preprint arXiv:2305.17331, 2023 | 44 | 2023 |
| Structure-Aware Language Model Pretraining Improves Dense Retrieval on Structured Data X Li, Z Liu, C Xiong, S Yu, Y Gu, Z Liu, G Yu arXiv preprint arXiv:2305.19912, 2023 | 17 | 2023 |
| Text Matching Improves Sequential Recommendation by Reducing Popularity Biases Z Liu, S Mei, C Xiong, X Li, S Yu, Z Liu, Y Gu, G Yu Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 16 | 2023 |
| P3 ranker: Mitigating the gaps between pre-training and ranking fine-tuning with prompt-based learning and pre-finetuning X Hu, S Yu, C Xiong, Z Liu, Z Liu, G Yu Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 15 | 2022 |
| CMT in TREC-COVID round 2: mitigating the generalization gaps from web to special domain search C Xiong, Z Liu, S Sun, Z Dai, K Zhang, S Yu, Z Liu, H Poon, J Gao, ... arXiv preprint arXiv:2011.01580, 2020 | 14 | 2020 |
| OpenMatch-v2: An All-in-one Multi-Modality PLM-based Information Retrieval Toolkit S Yu, Z Liu, C Xiong, Z Liu Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 10 | 2023 |
| Activerag: Revealing the treasures of knowledge via active learning Z Xu, Z Liu, Y Liu, C Xiong, Y Yan, S Wang, S Yu, Z Liu, G Yu arXiv preprint arXiv:2402.13547, 2024 | 9 | 2024 |
| Rageval: Scenario specific rag evaluation dataset generation framework K Zhu, Y Luo, D Xu, R Wang, S Yu, S Wang, Y Yan, Z Liu, X Han, Z Liu, ... arXiv preprint arXiv:2408.01262, 2024 | 4 | 2024 |
| Fusion-in-T5: Unifying Document Ranking Signals for Improved Information Retrieval S Yu, C Fan, C Xiong, D Jin, Z Liu, Z Liu arXiv preprint arXiv:2305.14685, 2023 | 3 | 2023 |
| Visrag: Vision-based retrieval-augmented generation on multi-modality documents S Yu, C Tang, B Xu, J Cui, J Ran, Y Yan, Z Liu, S Wang, X Han, Z Liu, ... arXiv preprint arXiv:2410.10594, 2024 | 2 | 2024 |
| Say more with less: Understanding prompt learning behaviors through gist compression X Li, Z Liu, C Xiong, S Yu, Y Yan, S Wang, G Yu arXiv preprint arXiv:2402.16058, 2024 | 2 | 2024 |
| Building A Coding Assistant via the Retrieval-Augmented Language Model X Li, H Wang, Z Liu, S Yu, S Wang, Y Yan, Y Fu, Y Gu, G Yu arXiv preprint arXiv:2410.16229, 2024 | | 2024 |
| RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards X Li, S Mei, Z Liu, Y Yan, S Wang, S Yu, Z Zeng, H Chen, G Yu, Z Liu, ... arXiv preprint arXiv:2410.13509, 2024 | | 2024 |
| Retriever-and-Memory: Towards Adaptive Note-Enhanced Retrieval-Augmented Generation R Wang, D Zha, S Yu, Q Zhao, Y Chen, Y Wang, S Wang, Y Yan, Z Liu, ... arXiv preprint arXiv:2410.08821, 2024 | | 2024 |
| Fusion-in-T5: Unifying Variant Signals for Simple and Effective Document Ranking with Attention Fusion S Yu, C Fan, C Xiong, D Jin, Z Liu, Z Liu Proceedings of the 2024 Joint International Conference on Computational …, 2024 | | 2024 |
| Rethinking Dense Retrieval's Few-Shot Ability S Sun, Y Lu, S Yu, X Li, Z Li, Z Cao, Z Liu, D Ye, J Bao arXiv preprint arXiv:2304.05845, 2023 | | 2023 |
Chenyan XiongAssociate Professor, Carnegie Mellon UniversityVerified email at cs.cmu.edu
