| MMICL: Empowering vision-language model with multi-modal in-context learning H Zhao, Z Cai, S Si, X Ma, K An, L Chen, Z Liu, S Wang, W Han, B Chang ICLR 2024, 2023 | 77* | 2023 |
| Towards end-to-end embodied decision making via multi-modal large language model: Explorations with gpt4-vision and beyond L Chen, Y Zhang, S Ren, H Zhao, Z Cai, Y Wang, P Wang, T Liu, B Chang arXiv preprint arXiv:2310.02071, 2023 | 15 | 2023 |
| An image is worth 1/2 tokens after layer 2: Plug-and-play inference acceleration for large vision-language models L Chen, H Zhao, T Liu, S Bai, J Lin, C Zhou, B Chang arXiv preprint arXiv:2403.06764, 2024 | 9 | 2024 |
| Ml-bench: Large language models leverage open-source libraries for machine learning tasks Y Liu, X Tang, Z Cai, J Lu, Y Zhang, Y Shao, Z Deng, H Hu, Z Yang, K An, ... arXiv preprint arXiv:2311.09835, 2023 | 4 | 2023 |
| Coarse-to-fine dual encoders are better frame identification learners K An, C Zheng, B Gao, H Zhao, B Chang arXiv preprint arXiv:2310.13316, 2023 | 2 | 2023 |
| Traffic accident prediction methods based on multi-factor models HZ Zhao, G Rao Knowledge Science, Engineering and Management: 14th International Conference …, 2021 | 2 | 2021 |
| PCA-Bench: Evaluating Multimodal Large Language Models in Perception-Cognition-Action Chain L Chen, Y Zhang, S Ren, H Zhao, Z Cai, Y Wang, P Wang, X Meng, T Liu, ... arXiv preprint arXiv:2402.15527, 2024 | 1 | 2024 |
| Removing Camouflage and Revealing Collusion: Leveraging Gang-crime Pattern in Fraudster Detection L Wang, H Zhao, C Feng, W Liu, C Huang, M Santoni, M Cristofaro, ... Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 1 | 2023 |
| UltraEdit: Instruction-based Fine-Grained Image Editing at Scale H Zhao, X Ma, L Chen, S Si, R Wu, K An, P Yu, M Zhang, Q Li, B Chang arXiv preprint arXiv:2407.05282, 2024 | | 2024 |
| MMEvalPro: Calibrating Multimodal Benchmarks Towards Trustworthy and Efficient Evaluation J Huang, L Chen, T Guo, F Zeng, Y Zhao, B Wu, Y Yuan, H Zhao, Z Guo, ... arXiv preprint arXiv:2407.00468, 2024 | | 2024 |
| Mitigating Language-Level Performance Disparity in mPLMs via Teacher Language Selection and Cross-lingual Self-Distillation H Zhao, Z Cai, S Si, L Chen, Y He, K An, B Chang arXiv preprint arXiv:2404.08491, 2024 | | 2024 |
| Distantly-Supervised Named Entity Recognition with Uncertainty-aware Teacher Learning and Student-student Collaborative Learning H Hu, S Si, H Zhao, S Zeng, K An, Z Cai, B Chang arXiv preprint arXiv:2311.08010, 2023 | | 2023 |
| ML-Bench: Evaluating Large Language Models and Agents for Machine Learning Tasks on Repository-Level Code X Tang, Y Liu, Z Cai, Y Shao, J Lu, Y Zhang, Z Deng, H Hu, K An, ... arXiv e-prints, arXiv: 2311.09835, 2023 | | 2023 |
| Empowering MultiModal Models’ In-Context Learning Ability through Large Language Models W Han, H Zhao, Z Cai Proceedings of the ACM Turing Award Celebration Conference-China 2023, 9-10, 2023 | | 2023 |
| Improving the Robustness of Distantly-Supervised Named Entity Recognition via Uncertainty-Aware Teacher Learning and Student-Student Collaborative Learning S Si, H Hu, H Zhao, S Zeng, K An, Z Cai, B Chang | | |
Baobao CHANGPeking UniversityVerified email at pku.edu.cn
Baobao CHANGPeking UniversityVerified email at pku.edu.cn