Transfer learning for Bayesian optimization: A survey T Bai, Y Li, Y Shen, X Zhang, W Zhang, B Cui arXiv preprint arXiv:2302.05927, 2023 | 39 | 2023 |
A survey of multimodal large language model from a data-centric perspective T Bai, H Liang, B Wan, Y Xu, X Li, S Li, L Yang, B Li, Y Wang, B Cui, ... arXiv preprint arXiv:2405.16640, 2024 | 32 | 2024 |
Transfer learning based search space design for hyperparameter tuning Y Li, Y Shen, H Jiang, T Bai, W Zhang, C Zhang, B Cui Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 12 | 2022 |
Urbench: A comprehensive benchmark for evaluating large multimodal models in multi-view urban scenarios B Zhou, H Yang, D Chen, J Ye, T Bai, J Yu, S Zhang, D Lin, C He, W Li arXiv preprint arXiv:2408.17267, 2024 | 3 | 2024 |
Keyvideollm: Towards large-scale video keyframe selection H Liang, J Li, T Bai, X Huang, L Sun, Z Wang, C He, B Cui, C Chen, ... arXiv preprint arXiv:2407.03104, 2024 | 3 | 2024 |
LOKI: A Comprehensive Synthetic Data Detection Benchmark using Large Multimodal Models J Ye, B Zhou, Z Huang, J Zhang, T Bai, H Kang, J He, H Lin, Z Wang, ... arXiv preprint arXiv:2410.09732, 2024 | 1 | 2024 |
Multi-Agent Collaborative Data Selection for Efficient LLM Pretraining T Bai, L Yang, ZH Wong, J Peng, X Zhuang, C Zhang, L Wu, J Qiu, ... arXiv preprint arXiv:2410.08102, 2024 | 1 | 2024 |
Harnessing Diversity for Important Data Selection in Pretraining Large Language Models C Zhang, H Zhong, K Zhang, C Chai, R Wang, X Zhuang, T Bai, J Qiu, ... arXiv preprint arXiv:2409.16986, 2024 | | 2024 |