| Visual instruction tuning H Liu*, C Li*, Q Wu, YJ Lee NeurIPS, 2023 | 11580 | 2023 |
| Improved baselines with visual instruction tuning H Liu, C Li, Y Li, YJ Lee Computer Vision and Pattern Recognition (CVPR), 2024 | 4251 | 2024 |
| Grounding dino: Marrying dino with grounded pre-training for open-set object detection S Liu, Z Zeng, T Ren, F Li, H Zhang, J Yang, Q Jiang, C Li, J Yang, H Su, ... European Conference on Computer Vision (ECCV), 2024 | 3913 | 2024 |
| Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks X Li, X Yin, C Li, X Hu, P Zhang, L Zhang, L Wang, H Hu, L Dong, F Wei, ... European Conference on Computer Vision (ECCV), 2020 | 2656 | 2020 |
| Grounded Language-Image Pre-training LH Li, P Zhang, H Zhang, J Yang, C Li, Y Zhong, L Wang, L Yuan, ... CVPR, 2022 | 1855 | 2022 |
| Llava-onevision: Easy visual task transfer B Li, Y Zhang, D Guo, R Zhang, F Li, H Zhang, K Zhang, P Zhang, Y Li, ... Transactions on Machine Learning Research, 2024 | 1815 | 2024 |
| Llava-med: Training a large language-and-vision assistant for biomedicine in one day C Li*, C Wong*, S Zhang*, N Usuyama, H Liu, J Yang, T Naumann, ... NeurIPS, 2023 | 1574 | 2023 |
| Llava-next: Improved reasoning, ocr, and world knowledge H Liu, C Li, Y Li, B Li, Y Zhang, S Shen, YJ Lee https://llava-vl.github.io/blog/2024-01-30-llava-next, 2024 | 1537* | 2024 |
| Instruction tuning with gpt-4 B Peng*, C Li*, P He*, M Galley, J Gao arXiv preprint arXiv:2304.03277, 2023 | 1329 | 2023 |
| MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts P Lu, H Bansal, T Xia, J Liu, C Li, H Hajishirzi, H Cheng, KW Chang, ... ICLR, 2023 | 1292 | 2023 |
| Florence: A new foundation model for computer vision L Yuan, D Chen, YL Chen, N Codella, X Dai, J Gao, H Hu, X Huang, B Li, ... arXiv preprint arXiv:2111.11432, 2021 | 1251 | 2021 |
| Variational Autoencoder for Deep Learning of Images, Labels and Captions Y Pu, Z Gan, R Henao, X Yuan, C Li, A Stevens, L Carin Neural Information Processing Systems (NIPS), 2016 | 1179 | 2016 |
| Gligen: Open-set grounded text-to-image generation Y Li, H Liu, Q Wu, F Mu, J Yang, J Gao, C Li, YJ Lee Computer Vision and Pattern Recognition (CVPR), 2023 | 1102 | 2023 |
| RegionCLIP: Region-based Language-Image Pretraining Y Zhong, J Yang, P Zhang, C Li, N Codella, LH Li, L Zhou, X Dai, L Yuan, ... CVPR, 2022 | 899 | 2022 |
| Otter: A multi-modal model with in-context instruction tuning B Li, Y Zhang, L Chen, J Wang, F Pu, JA Cahyono, J Yang, C Li, Z Liu IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025 | 856 | 2025 |
| Focal self-attention for local-global interactions in vision transformers J Yang, C Li, P Zhang, X Dai, B Xiao, L Yuan, J Gao arXiv preprint arXiv:2107.00641, 2021 | 846* | 2021 |
| A whole-slide foundation model for digital pathology from real-world data H Xu, N Usuyama, J Bagga, S Zhang, R Rao, T Naumann, C Wong, ... Nature 630 (8015), 181-188, 2024 | 748 | 2024 |
| Trustllm: Trustworthiness in large language models Y Huang, L Sun, H Wang, S Wu, Q Zhang, Y Li, C Gao, Y Huang, W Lyu, ... arXiv preprint arXiv:2401.05561, 2024 | 643* | 2024 |
| Measuring the intrinsic dimension of objective landscapes C Li, H Farkhoor, R Liu, J Yosinski ICLR, 2018 | 593 | 2018 |
| Joint Embedding of Words and Labels for Text Classification G Wang, C Li, W Wang, Y Zhang, D Shen, X Zhang, R Henao, L Carin Annual Meeting of the Association for Computational Linguistics (ACL), 2018 | 585 | 2018 |
Jianfeng GaoMicrosoft Research, RedmondVerified email at microsoft.com
