| Mmmu: A massive multi-discipline multimodal understanding and reasoning benchmark for expert agi X Yue, Y Ni, K Zhang, T Zheng, R Liu, G Zhang, S Stevens, D Jiang, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 590 | 2024 |
| Interactive natural language processing Z Wang, G Zhang, K Yang, N Shi, W Zhou, S Hao, G Xiong, Y Li, MY Sim, ... arXiv preprint arXiv:2305.13246, 2023 | 51 | 2023 |
| Map-neo: Highly capable and transparent bilingual large language model series G Zhang, S Qu, J Liu, C Zhang, C Lin, CL Yu, D Pan, E Cheng, J Liu, ... arXiv preprint arXiv:2405.19327, 2024 | 34 | 2024 |
| Omnibench: Towards the future of universal omni-language models Y Li, G Zhang, Y Ma, R Yuan, K Zhu, H Guo, Y Liang, J Liu, Z Wang, ... arXiv preprint arXiv:2409.15272, 2024 | 8 | 2024 |
| I-SHEEP: Self-Alignment of LLM from Scratch through an Iterative Self-Enhancement Paradigm Y Liang, G Zhang, X Qu, T Zheng, J Guo, X Du, Z Yang, J Liu, C Lin, L Ma, ... arXiv preprint arXiv:2408.08072, 2024 | | 2024 |
Ge ZhangM-A-P, Bytedance, University of WaterlooEmail được xác minh tại bytedance.com