Li, Xin

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Yu, J., Xu, Y., Koh, J. Y., Luong, T., Baid, G., Wang, Z., Vasudevan, V., Ku, A., Yang, Y., Ayan, B. K., et al. (2022) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 371

Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding

Leng, S., Zhang, H., Chen, G., Li, X., Lu, S., Miao, C., & Bing, L. (2023) · arXiv

Multimodal Machine Learning ApplicationsGenerative Adversarial Networks and Image Synthesis

Cited by 199

Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding

Leng, S., Zhang, H., Chen, G., Li, X., Lu, S., Miao, C., & Bing, L. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsGenerative Adversarial Networks and Image Synthesis

Cited by 199

The Ustc System for Adress-m Challenge

Mei, K., Ding, X., Liu, Y., Guo, Z., Xu, F., Li, X., Naren, T., Yuan, J., & Ling, Z. (2023) · ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Speech Recognition and SynthesisDementia and Cognitive Impairment Research

Cited by 19

Rethinking Research Libraries in the Era of Global Universities

Cornell University Library, Kenney, A., Li, X., & Cornell University Library (2016)

Library Science and InformationLibrary Science and Information Literacy

Cited by 5