Ding, Ming

GPT Understands, Too

Liu, X., Zheng, Y., Du, Z., Ding, M., Qian, Y., Yang, Z., & Tang, J. (2021) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 908

CogView: Mastering Text-to-Image Generation via Transformers

Ding, M., Yang, Z., Hong, W., Zheng, W., Zhou, C., Yin, D., Lin, J., Zou, X., Shao, Z., Yang, H., et al. (2021) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 450

GLM-130B: An Open Bilingual Pre-trained Model

Zeng, A., Liu, X., Du, Z., Wang, Z., Lai, H., Ding, M., Yang, Z., Xu, Y., Zheng, W., Xia, X., et al. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 281

Cognitive Graph for Multi-Hop Reading Comprehension at Scale

Ding, M., Zhou, C., Chen, Q., Yang, H., & Tang, J. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

Topic ModelingInformation Retrieval and Search Behavior

Cited by 222

CogVLM: Visual Expert for Pretrained Language Models

Wang, W., Lv, Q., Yu, W., Hong, W., Qi, J., Wang, Y., Ji, J., Yang, Z., Zhao, L., Song, X., et al. (2023) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 217

Tracing the evolution of AI in the past decade and forecasting the emerging trends

Shao, Z., Zhao, R., Yuan, S., Ding, M., & Wang, Y. (2022) · Expert Systems with Applications

Artificial Intelligence ApplicationsNeural Networks and Applications

Cited by 153

CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers

Hong, W., Ding, M., Zheng, W., Liu, X., & Tang, J. (2022) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 148

WuDaoCorpora: A super large-scale Chinese corpora for pre-training language models

Yuan, S., Zhao, H., Du, Z., Ding, M., Liu, X., Cen, Y., Zou, X., Yang, Z., & Tang, J. (2021) · AI Open

Topic ModelingNatural Language Processing Techniques

Cited by 67