| Cross-lingual Knowledge Graph Alignment via Graph Convolutional Networks Z Wang, Q Lv, X Lan, Y Zhang Proceedings of EMNLP 2018, 349-357, 2018 | 543 | 2018 |
| Are we really making much progress? Revisiting, benchmarking, and refining heterogeneous graph neural networks Q Lv*, M Ding*, Q Liu, Y Chen, W Feng, S He, C Zhou, J Jiang, Y Dong, ... Proceedings of KDD 2021, 2021 | 208 | 2021 |
| CogVLM: Visual Expert for Pretrained Language Models W Wang, Q Lv, W Yu, W Hong, J Qi, Y Wang, J Ji, Z Yang, L Zhao, X Song, ... arXiv preprint arXiv:2311.03079, 2023 | 103 | 2023 |
| CogAgent: A Visual Language Model for GUI Agents W Hong, W Wang, Q Lv, J Xu, W Yu, J Ji, Y Wang, Z Wang, Y Dong, ... arXiv preprint arXiv:2312.08914, 2023 | 34 | 2023 |
| GPT Can Solve Mathematical Problems Without a Calculator Z Yang, M Ding, Q Lv, Z Jiang, Z He, Y Guo, J Bai, J Tang arXiv preprint arXiv:2309.03241, 2023 | 17 | 2023 |
| Parameter-Efficient Tuning Makes a Good Classification Head Z Yang*, M Ding*, Y Guo, Q Lv, J Tang Proceedings of EMNLP 2022, 2022 | 6 | 2022 |
| CogCoM: Train Large Vision-Language Models Diving into Details through Chain of Manipulations J Qi, M Ding, W Wang, Y Bai, Q Lv, W Hong, B Xu, L Hou, J Li, Y Dong, ... arXiv preprint arXiv:2402.04236, 2024 | 3 | 2024 |
