Wang, Yubo

MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark

Wang, Y., Ma, X., Zhang, G., Ni, Y., Chandra, A., Guo, S., Ren, W., Arulraj, A., He, X., Jiang, Z., et al. (2024) · Advances in Neural Information Processing Systems 37

Topic ModelingNatural Language Processing Techniques

Cited by 131

MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark

Wang, Y., Ma, X., Zhang, G., Ni, Y., Chandra, A., Guo, S., Ren, W., Arulraj, A., He, X., Jiang, Z., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 131

Discovery of novel covalent selective estrogen receptor degraders against endocrine-resistant breast cancer

Wang, Y., Min, J., Deng, X., Feng, T., Hu, H., Guo, X., Cheng, Y., Xie, B., Yang, Y., Chen, C.-C., et al. (2023) · Acta Pharmaceutica Sinica B

Estrogen and related hormone effectsProtein Degradation and Inhibitors

Cited by 28

MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark

Yue, X., Zheng, T., Ni, Y., Wang, Y., Zhang, K., Tong, S., Sun, Y., Yu, B., Zhang, G., Sun, H., et al. (2024) · arXiv

Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 4

Shifting AI Efficiency From Model-Centric to Data-Centric Compression

Liu, X., Wen, Z., Wang, S., Chen, J., Tao, Z., Wang, Y., Chen, T., Jin, X., Zou, C., Wang, Y., et al. (2025) · arXiv

Advanced Neural Network ApplicationsTopic Modeling

Cited by 0