Are Larger Pretrained Language Models Uniformly Better? Comparing Performance at the Instance Level. - Ruiqi Zhong; Dhruba Ghosh; Dan Klein 001; Jacob Steinhardt (ACL/IJCNLP (Findings), 2021)

The Effect of Model Size on Worst-Group Generalization. - Alan Pham; Eunice Chan; Vikranth Srivatsa; Dhruba Ghosh; Yaoqing Yang; Yaodong Yu; Ruiqi Zhong; Joseph E. Gonzalez; Jacob Steinhardt (CoRR, 2021)

DataComp: In search of the next generation of multimodal datasets. - Samir Yitzhak Gadre; Gabriel Ilharco; Alex Fang; Jonathan Hayase; Georgios Smyrnis; Thao Nguyen; Ryan Marten; Mitchell Wortsman; Dhruba Ghosh; Jieyu Zhang 001; Eyal Orgad; Rahim Entezari; et al. (NeurIPS, 2023)

GenEval: An object-focused framework for evaluating text-to-image alignment. - Dhruba Ghosh; Hannaneh Hajishirzi; Ludwig Schmidt (NeurIPS, 2023)

Getting it Right: Improving Spatial Consistency in Text-to-Image Models. - Agneet Chatterjee; Gabriela Ben Melech Stan; Estelle Aflalo; Sayak Paul; Dhruba Ghosh; Tejas Gokhale; Ludwig Schmidt; Hannaneh Hajishirzi; Vasudev Lal; Chitta Baral; Yezhou Yang (ECCV (22), 2024)

DataComp-LM: In search of the next generation of training sets for language models. - Jeffrey Li; Alex Fang; Georgios Smyrnis; Maor Ivgi; Matt Jordan; Samir Yitzhak Gadre; Hritik Bansal; Etash Kumar Guha; Sedrick Scott Keh; Kushal Arora; Saurabh Garg; Rui Xin; et al. (NeurIPS, 2024)

Why are Visually-Grounded Language Models Bad at Image Classification? - Yuhui Zhang; Alyssa Unell; Xiaohan Wang; Dhruba Ghosh; Yuchang Su; Ludwig Schmidt; Serena Yeung (NeurIPS, 2024)