| Fine-tuning multimodal llms to follow zero-shot demonstrative instructions J Li, K Pan, Z Ge, M Gao, W Ji, W Zhang, TS Chua, S Tang, H Zhang, ... The Twelfth International Conference on Learning Representations, 2023 | 70 | 2023 |
| Gradient-regulated meta-prompt learning for generalizable vision-language models J Li, M Gao, L Wei, S Tang, W Zhang, M Li, W Ji, Q Tian, TS Chua, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 26 | 2023 |
| Empowering vision-language models to follow interleaved vision-language instructions J Li, K Pan, Z Ge, M Gao, H Zhang, W Ji, W Zhang, TS Chua, S Tang, ... arXiv preprint arXiv:2308.04152, 2023 | 19 | 2023 |
| De-fine: Decomposing and Refining Visual Programs with Auto-Feedback M Gao, J Li, H Fei, L Pang, W Ji, G Wang, Z Lv, W Zhang, S Tang, ... Proceedings of the 32nd ACM International Conference on Multimedia, 7649-7657, 2024 | 9 | 2024 |
| Fact :Teaching MLLMs with Faithful, Concise and Transferable Rationales M Gao, S Chen, L Pang, Y Yao, J Dang, W Zhang, J Li, S Tang, Y Zhuang, ... Proceedings of the 32nd ACM International Conference on Multimedia, 846-855, 2024 | 4 | 2024 |
| Generalist virtual agents: A survey on autonomous agents across digital platforms M Gao, W Bu, B Miao, Y Wu, Y Li, J Li, S Tang, Q Wu, Y Zhuang, M Wang arXiv preprint arXiv:2411.10943, 2024 | 3 | 2024 |
| Iris: Breaking GUI Complexity with Adaptive Focus and Self-Refining Z Ge, J Li, X Pang, M Gao, K Pan, W Lin, H Fei, W Zhang, S Tang, ... arXiv preprint arXiv:2412.10342, 2024 | 1 | 2024 |
| STEP: Enhancing Video-LLMs' Compositional Reasoning by Spatio-Temporal Graph-guided Self-Training H Qiu, M Gao, L Qian, K Pan, Q Yu, J Li, W Wang, S Tang, Y Zhuang, ... arXiv preprint arXiv:2412.00161, 2024 | | 2024 |
