See Google Scholar for full list of publications.
* denotes equal contribution.

• Knoll: Creating a Knowledge Ecosystem for Large Language Models
  Dora Zhao, Diyi Yang, Michael S. Bernstein
  UIST 2025
• SPHERE: An Evaluation Card for Human-AI Systems
  Dora Zhao*, Qianou Ma*, Xinran Zhao, Chenglei Si, Chenyang Yang, Ryan Louie, Ehud Reiter, Diyi Yang, Tongshuang Wu
  ACL 2025 (Findings)
• A Taxonomy of Challenges to Curating Fair Datasets
  Dora Zhao*, Morgan Klaus Scheuerman*, Pooja Chitre, Jerone T.A. Andrews, Georgia Panagiotidou, Shawn Walker, Kathleen H Pine, Alice Xiang
  NeurIPS D&B 2024 (Oral)
• Position: Measure Dataset Diversity, Don't Just Claim It
  Dora Zhao*, Jerone T.A. Andrews, Orestis Papakyriakopoulos, Alice Xiang
  ICML 2024 (Best Paper)
• Ethical Considerations for Responsible Data Curation
  Jerone Andrews, Dora Zhao*, William Thong*, Apostolos Modas*, Orestis Papakyriakopoulos*, Shruti Nagpal* Alice Xiang
  NeurIPS D&B 2023 (Oral)
Gender Artifacts in Visual Datasets
Nicole Meister*, Dora Zhao*, Angelina Wang, Vikram V. Ramaswamy, Ruth Fong, Olga Russakovsky
ICCV 2023
Men Also Do Laundry: Multi-Attribute Bias Amplification
Dora Zhao, Jerone Andrews, Alice Xiang
ICML 2023
• REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets
  Angelina Wang, Alexander Liu, Ryan Zhang, Anat Kleiman, Leslie Kim, Dora Zhao, Iroha Shirai, Arvind Narayanan, Olga Russakovsky
  IJCV 2022
Understanding and Evaluating Racial Biases in Image Captioning
Dora Zhao, Angelina Wang, Olga Russakovsky
ICCV 2021