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| Lvlm-ehub: A comprehensive evaluation benchmark for large vision-language models P Xu, W Shao, K Zhang, P Gao, S Liu, M Lei, F Meng, S Huang, Y Qiao, ... IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 167 | 2024 |
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| Imagebind-llm: Multi-modality instruction tuning J Han, R Zhang, W Shao, P Gao, P Xu, H Xiao, K Zhang, C Liu, S Wen, ... arXiv preprint arXiv:2309.03905, 2023 | 97 | 2023 |
| Visual-locomotion: Learning to walk on complex terrains with vision W Yu, D Jain, A Escontrela, A Iscen, P Xu, E Coumans, S Ha, J Tan, ... 5th Annual Conference on Robot Learning, 2021 | 83 | 2021 |
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| Mmt-bench: A comprehensive multimodal benchmark for evaluating large vision-language models towards multitask agi K Ying, F Meng, J Wang, Z Li, H Lin, Y Yang, H Zhang, W Zhang, Y Lin, ... arXiv preprint arXiv:2404.16006, 2024 | 45 | 2024 |
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Fei XiaResearch Scientist, Google DeepMindVerified email at google.com
