Ku, Alexander

8 publications

ICLRW 2024 Can Generative Multimodal Models Count to Ten? Sunayana Rane, Alexander Ku, Jason Michael Baldridge, Ian Tenney, Thomas L. Griffiths, Been Kim

ECCV 2024 DOCCI: Descriptions of Connected and Contrasting Images Yasumasa Onoe, Sunayana Rane, Zachary E Berger, Yonatan Bitton, Jaemin Cho, Roopal Garg, Alexander Ku, Zarana Parekh, Jordi Pont-Tuset, Garrett Tanzer, Su Wang, Jason M Baldridge

NeurIPS 2024 Understanding the Limits of Vision Language Models Through the Lens of the Binding Problem Declan Campbell, Sunayana Rane, Tyler Giallanza, Nicolò De Sabbata, Kia Ghods, Amogh Joshi, Alexander Ku, Steven M. Frankland, Thomas L. Griffiths, Jonathan D. Cohen, Taylor Webb

CVPR 2023 A New Path: Scaling Vision-and-Language Navigation with Synthetic Instructions and Imitation Learning Aishwarya Kamath, Peter Anderson, Su Wang, Jing Yu Koh, Alexander Ku, Austin Waters, Yinfei Yang, Jason Baldridge, Zarana Parekh

NeurIPS 2023 Gaussian Process Probes (GPP) for Uncertainty-Aware Probing Zi Wang, Alexander Ku, Jason Baldridge, Tom Griffiths, Been Kim

TMLR 2022 Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Jiahui Yu, Yuanzhong Xu, Jing Yu Koh, Thang Luong, Gunjan Baid, Zirui Wang, Vijay Vasudevan, Alexander Ku, Yinfei Yang, Burcu Karagol Ayan, Ben Hutchinson, Wei Han, Zarana Parekh, Xin Li, Han Zhang, Jason Baldridge, Yonghui Wu

ICLR 2022 Vector-Quantized Image Modeling with Improved VQGAN Jiahui Yu, Xin Li, Jing Yu Koh, Han Zhang, Ruoming Pang, James Qin, Alexander Ku, Yuanzhong Xu, Jason Baldridge, Yonghui Wu

ICML 2018 Image Transformer Niki Parmar, Ashish Vaswani, Jakob Uszkoreit, Lukasz Kaiser, Noam Shazeer, Alexander Ku, Dustin Tran