| Lora: Low-rank adaptation of large language models EJ Hu, Y Shen, P Wallis, Z Allen-Zhu, Y Li, S Wang, L Wang, W Chen arXiv preprint arXiv:2106.09685, 2021 | 8792 | 2021 |
| A latent semantic model with convolutional-pooling structure for information retrieval Y Shen, X He, J Gao, L Deng, G Mesnil Proceedings of the 23rd ACM international conference on conference on …, 2014 | 1624* | 2014 |
| Deep sentence embedding using long short-term memory networks: Analysis and application to information retrieval H Palangi, L Deng, Y Shen, J Gao, X He, J Chen, X Song, R Ward IEEE/ACM Transactions on Audio, Speech, and Language Processing 24 (4), 694-707, 2016 | 1064 | 2016 |
| Phi-3 technical report: A highly capable language model locally on your phone M Abdin, J Aneja, H Awadalla, A Awadallah, AA Awan, N Bach, A Bahree, ... arXiv preprint arXiv:2404.14219, 2024 | 523 | 2024 |
| Reasonet: Learning to stop reading in machine comprehension Y Shen, PS Huang, J Gao, W Chen Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017 | 338 | 2017 |
| Modeling interestingness with deep neural networks J Gao, P Pantel, M Gamon, X He, L Deng Proceedings of the 2014 conference on empirical methods in natural language …, 2014 | 332 | 2014 |
| Stochastic answer networks for machine reading comprehension X Liu, Y Shen, K Duh, J Gao arXiv preprint arXiv:1712.03556, 2017 | 242 | 2017 |
| Storygan: A sequential conditional gan for story visualization Y Li, Z Gan, Y Shen, J Liu, Y Cheng, Y Wu, L Carin, D Carlson, J Gao Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 241 | 2019 |
| Generation-augmented retrieval for open-domain question answering Y Mao, P He, X Liu, Y Shen, J Gao, J Han, W Chen arXiv preprint arXiv:2009.08553, 2020 | 231 | 2020 |
| Fusionnet: Fusing via fully‐aware attention with application to machine comprehension HY Huang arXiv preprint arXiv:1711.07341, 2017 | 212 | 2017 |
| Mart: Memory-augmented recurrent transformer for coherent video paragraph captioning J Lei, L Wang, Y Shen, D Yu, TL Berg, M Bansal arXiv preprint arXiv:2005.05402, 2020 | 209 | 2020 |
| Critic: Large language models can self-correct with tool-interactive critiquing Z Gou, Z Shao, Y Gong, Y Shen, Y Yang, N Duan, W Chen arXiv preprint arXiv:2305.11738, 2023 | 189 | 2023 |
| M-walk: Learning to walk over graphs using monte carlo tree search Y Shen, J Chen, PS Huang, Y Guo, J Gao Advances in Neural Information Processing Systems 31, 2018 | 186 | 2018 |
| Language-based image editing with recurrent attentive models J Chen, Y Shen, J Gao, J Liu, X Liu Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 154 | 2018 |
| A good prompt is worth millions of parameters: Low-resource prompt-based learning for vision-language models W Jin, Y Cheng, Y Shen, W Chen, X Ren arXiv preprint arXiv:2110.08484, 2021 | 150 | 2021 |
| A simple but tough-to-beat data augmentation approach for natural language understanding and generation D Shen, M Zheng, Y Shen, Y Qu, W Chen arXiv preprint arXiv:2009.13818, 2020 | 146 | 2020 |
| LoRA: low-rank adaptation of large language models (2021) EJ Hu, Y Shen, P Wallis, Z Allen-Zhu, Y Li, S Wang, L Wang, W Chen arXiv preprint arXiv:2106.09685, 2022 | 138 | 2022 |
| Lora: Low-rank adaptation of large language models. arXiv 2021 EJ Hu, Y Shen, P Wallis, Z Allen-Zhu, Y Li, S Wang, L Wang, W Chen arXiv preprint arXiv:2106.09685, 2023 | 132 | 2023 |
| Enhancing retrieval-augmented large language models with iterative retrieval-generation synergy Z Shao, Y Gong, Y Shen, M Huang, N Duan, W Chen arXiv preprint arXiv:2305.15294, 2023 | 129 | 2023 |
| Learning personal+ social latent factor model for social recommendation Y Shen, R Jin Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012 | 129 | 2012 |
