Image Transformer. - Niki Parmar; Ashish Vaswani; Jakob Uszkoreit; Lukasz Kaiser; Noam Shazeer; Alexander Ku; Dustin Tran (ICML, 2018)

Image Transformer. - Niki Parmar; Ashish Vaswani; Jakob Uszkoreit; Lukasz Kaiser; Noam Shazeer; Alexander Ku (CoRR, 2018)

Stay on the Path: Instruction Fidelity in Vision-and-Language Navigation. - Vihan Jain; Gabriel Magalhães 001; Alexander Ku; Ashish Vaswani; Eugene Ie; Jason Baldridge (ACL (1), 2019)

Transferable Representation Learning in Vision-and-Language Navigation. - Haoshuo Huang; Vihan Jain; Harsh Mehta; Alexander Ku; Gabriel Magalhães 001; Jason Baldridge; Eugene Ie (ICCV, 2019)

General Evaluation for Instruction Conditioned Navigation using Dynamic Time Warping. - Gabriel Ilharco; Vihan Jain; Alexander Ku; Eugene Ie; Jason Baldridge (ViGIL@NeurIPS, 2019)

Room-Across-Room: Multilingual Vision-and-Language Navigation with Dense Spatiotemporal Grounding. - Alexander Ku; Peter Anderson; Roma Patel; Eugene Ie; Jason Baldridge (EMNLP (1), 2020)

On the Evaluation of Vision-and-Language Navigation Instructions. - Ming Zhao; Peter Anderson; Vihan Jain; Su Wang 001; Alexander Ku; Jason Baldridge; Eugene Ie (EACL, 2021)

PanGEA: The Panoramic Graph Environment Annotation Toolkit. - Alexander Ku; Peter Anderson; Jordi Pont-Tuset; Jason Baldridge (CoRR, 2021)

Vector-quantized Image Modeling with Improved VQGAN. - Jiahui Yu; Xin Li; Jing Yu Koh; Han Zhang 010; Ruoming Pang; James Qin; Alexander Ku; Yuanzhong Xu; Jason Baldridge; Yonghui Wu (ICLR, 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; et al. (Trans. Mach. Learn. Res., 2022)

A New Path: Scaling Vision-and-Language Navigation with Synthetic Instructions and Imitation Learning. - Aishwarya Kamath; Peter Anderson; Su Wang 001; Jing Yu Koh; Alexander Ku; Austin Waters; Yinfei Yang; Jason Baldridge; Zarana Parekh (CVPR, 2023)

Gaussian Process Probes (GPP) for Uncertainty-Aware Probing. - Zi Wang; Alexander Ku; Jason Baldridge; Tom Griffiths 001; Been Kim (NeurIPS, 2023)

Prompt Expansion for Adaptive Text-to-Image Generation. - Siddhartha Datta; Alexander Ku; Deepak Ramachandran; Peter Anderson (ACL (1), 2024)

DOCCI: Descriptions of Connected and Contrasting Images. - Yasumasa Onoe; Sunayana Rane; Zachary Berger; Yonatan Bitton; Jaemin Cho 001; Roopal Garg; Alexander Ku; Zarana Parekh; Jordi Pont-Tuset; Garrett Tanzer; Su Wang 001; Jason Baldridge (ECCV (60), 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 004; Alexander Ku; Steven Frankland; Tom Griffiths 001; Jonathan D. Cohen 003; Taylor W. Webb (NeurIPS, 2024)

Using the Tools of Cognitive Science to Understand Large Language Models at Different Levels of Analysis. - Alexander Ku; Declan Campbell; Xuechunzi Bai; Jiayi Geng; Ryan Liu 001; Raja Marjieh; R. Thomas McCoy; Andrew Nam; Ilia Sucholutsky; Veniamin Veselovsky; Liyi Zhang; Jian-Qiao Zhu; et al. (CoRR, 2025)