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| Lamm: Language-assisted multi-modal instruction-tuning dataset, framework, and benchmark Z Yin, J Wang, J Cao, Z Shi, D Liu, M Li, X Huang, Z Wang, L Sheng, L Bai, ... Advances in Neural Information Processing Systems 36, 2024 | 92 | 2024 |
| Openmmlab 3d human parametric model toolbox and benchmark M Contributors | 19 | 2021 |
| From gpt-4 to gemini and beyond: Assessing the landscape of mllms on generalizability, trustworthiness and causality through four modalities C Lu, C Qian, G Zheng, H Fan, H Gao, J Zhang, J Shao, J Deng, J Fu, ... arXiv preprint arXiv:2401.15071, 2024 | 10 | 2024 |
| Chef: A comprehensive evaluation framework for standardized assessment of multimodal large language models Z Shi, Z Wang, H Fan, Z Yin, L Sheng, Y Qiao, J Shao arXiv preprint arXiv:2311.02692, 2023 | 7 | 2023 |
| Assessment of multimodal large language models in alignment with human values Z Shi, Z Wang, H Fan, Z Zhang, L Li, Y Zhang, Z Yin, L Sheng, Y Qiao, ... arXiv preprint arXiv:2403.17830, 2024 | 4 | 2024 |
| LAMM: Language-Assisted Multi-Modal Instruction-Tuning Dataset Z Yin, J Wang, J Cao, Z Shi, D Liu, M Li, L Sheng, L Bai, X Huang, Z Wang, ... Framework, and Benchmark, 1-37, 2023 | 3 | 2023 |
| RH20T-P: A Primitive-Level Robotic Dataset Towards Composable Generalization Agents Z Chen, Z Shi, X Lu, L He, S Qian, HS Fang, Z Yin, W Ouyang, J Shao, ... arXiv preprint arXiv:2403.19622, 2024 | | 2024 |
