| Natural language inference by tree-based convolution and heuristic matching L Mou, R Men, G Li, Y Xu, L Zhang, R Yan, Z Jin arXiv preprint arXiv:1512.08422, 2015 | 298 | 2015 |
| On end-to-end program generation from user intention by deep neural networks L Mou, R Men, G Li, L Zhang, Z Jin arXiv preprint arXiv:1510.07211, 2015 | 44 | 2015 |
| Recognizing entailment and contradiction by tree-based convolution L Mou, R Men, G Li, Y Xu, L Zhang, R Yan, Z Jin CoRR, abs/1512.08422 2, 2015 | 28 | 2015 |
| M6: A Chinese Multimodal Pretrainer J Lin, R Men, A Yang, C Zhou, M Ding, Y Zhang, P Wang, A Wang, ... arXiv preprint arXiv:2103.00823, 2021 | 11 | 2021 |
| Deep-autocoder: Learning to complete code precisely with induced code tokens X Hu, R Men, G Li, Z Jin 2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC …, 2019 | 5 | 2019 |
| Exploring Sparse Expert Models and Beyond A Yang, J Lin, R Men, C Zhou, L Jiang, X Jia, A Wang, J Zhang, J Wang, ... arXiv preprint arXiv:2105.15082, 2021 | 4 | 2021 |
| UFC-BERT: Unifying Multi-Modal Controls for Conditional Image Synthesis Z Zhang, J Ma, C Zhou, R Men, Z Li, M Ding, J Tang, J Zhou, H Yang arXiv preprint arXiv:2105.14211, 2021 | | 2021 |
| Learning Relation Alignment for Calibrated Cross-modal Retrieval S Ren, J Lin, G Zhao, R Men, A Yang, J Zhou, X Sun, H Yang arXiv preprint arXiv:2105.13868, 2021 | | 2021 |
| M6: Multi-Modality-to-Multi-Modality Multitask Mega-transformer for Unified Pretraining J Lin, R Men, A Yang, C Zhou, Y Zhang, P Wang, J Zhou, J Tang, H Yang | | 2021 |
