| Mmbench: Is your multi-modal model an all-around player? Y Liu, H Duan, Y Zhang, B Li, S Zhang, W Zhao, Y Yuan, J Wang, C He, ... European conference on computer vision, 216-233, 2024 | 1809 | 2024 |
| Internlm2 technical report Z Cai, M Cao, H Chen, K Chen, K Chen, X Chen, X Chen, Z Chen, Z Chen, ... arXiv preprint arXiv:2403.17297, 2024 | 555 | 2024 |
| Part-aware prototype network for few-shot semantic segmentation Y Liu, X Zhang, S Zhang, X He European conference on computer vision, 142-158, 2020 | 468 | 2020 |
| Distribution Alignment: A Unified Framework for Long-tail Visual Recognition S Zhang, Z Li, S Yan, X He, J Sun Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021 | 432 | 2021 |
| OpenCompass: A universal evaluation platform for foundation models. OC Contributors https://github.com/open-compass/opencompass, 2023 | 410 | 2023 |
| Internlm-xcomposer2: Mastering free-form text-image composition and comprehension in vision-language large model X Dong, P Zhang, Y Zang, Y Cao, B Wang, L Ouyang, X Wei, S Zhang, ... arXiv preprint arXiv:2401.16420, 2024 | 387 | 2024 |
| Bipartite Graph Network with Adaptive Message Passing for Unbiased Scene Graph Generation R Li, S Zhang, B Wan, X He Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021 | 330 | 2021 |
| Internlm-xcomposer: A vision-language large model for advanced text-image comprehension and composition P Zhang, X Dong, B Wang, Y Cao, C Xu, L Ouyang, Z Zhao, H Duan, ... arXiv preprint arXiv:2309.15112, 2023 | 317 | 2023 |
| Internlm: A multilingual language model with progressively enhanced capabilities ILM Team | 271 | 2023 |
| Internvl3. 5: Advancing open-source multimodal models in versatility, reasoning, and efficiency W Wang, Z Gao, L Gu, H Pu, L Cui, X Wei, Z Liu, L Jing, S Ye, J Shao, ... arXiv preprint arXiv:2508.18265, 2025 | 226 | 2025 |
| Lawbench: Benchmarking legal knowledge of large language models Z Fei, X Shen, D Zhu, F Zhou, Z Han, A Huang, S Zhang, K Chen, Z Yin, ... Proceedings of the 2024 conference on empirical methods in natural language …, 2024 | 223 | 2024 |
| Internlm-xcomposer-2.5: A versatile large vision language model supporting long-contextual input and output P Zhang, X Dong, Y Zang, Y Cao, R Qian, L Chen, Q Guo, H Duan, ... arXiv preprint arXiv:2407.03320, 2024 | 206 | 2024 |
| SGTR: End-to-end Scene Graph Generation with Transformer R Li, S Zhang, X He Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2022 | 186 | 2022 |
| Internlm-xcomposer2-4khd: A pioneering large vision-language model handling resolutions from 336 pixels to 4k hd X Dong, P Zhang, Y Zang, Y Cao, B Wang, L Ouyang, S Zhang, H Duan, ... Advances in Neural Information Processing Systems 37, 42566-42592, 2024 | 180 | 2024 |
| ProSA: Assessing and understanding the prompt sensitivity of LLMs J Zhuo, S Zhang, X Fang, H Duan, D Lin, K Chen arXiv preprint arXiv:2410.12405, 2024 | 122 | 2024 |
| Internlm-math: Open math large language models toward verifiable reasoning H Ying, S Zhang, L Li, Z Zhou, Y Shao, Z Fei, Y Ma, J Hong, K Liu, Z Wang, ... arXiv preprint arXiv:2402.06332, 2024 | 121 | 2024 |
| Dynamic context correspondence network for semantic alignment S Huang, Q Wang, S Zhang, S Yan, X He Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 116 | 2019 |
| Mathbench: Evaluating the theory and application proficiency of llms with a hierarchical mathematics benchmark H Liu, Z Zheng, Y Qiao, H Duan, Z Fei, F Zhou, W Zhang, S Zhang, D Lin, ... arXiv preprint arXiv:2405.12209, 2024 | 113 | 2024 |
| LatentGNN: Learning Efficient Non-local Relations for Visual Recognition S Zhang, S Yan, X He Proceedings of the 36th International Conference on Machine Learning, 2019 | 97 | 2019 |
| Action Quality Assessment with Temporal Parsing Transformer Y Bai, D Zhou, S Zhang, J Wang, E Ding, Y Guan, Y Long, J Wang European Conference on Computer Vision, 2022 | 87 | 2022 |
Kai ChenShanghai AI LaboratoryVerified email at pjlab.org.cn
