| 2024 | ICML | FRAPP: A Group Fairness Framework for Post-Processing Everything. | Alexandru Tifrea, Preethi Lahoti, Ben Packer, Yoni Halpern, Ahmad Beirami, Flavien Prost |
| 2023 | EMNLP | Improving Diversity of Demographic Representation in Large Language Models via Collective-Critiques and Self-Voting. | Preethi Lahoti, Nicholas Blumm, Xiao Ma, Raghavendra Kotikalapudi, Sahitya Potluri, Qijun Tan, Hansa Srinivasan, Ben Packer, Ahmad Beirami, Alex Beutel, Jilin Chen |
| 2023 | EMNLP | AART: AI-Assisted Red-Teaming with Diverse Data Generation for New LLM-powered Applications. | Bhaktipriya Radharapu, Kevin Robinson, Lora Aroyo, Preethi Lahoti |
| 2021 | AIES | Accounting for Model Uncertainty in Algorithmic Discrimination. | Junaid Ali, Preethi Lahoti, Krishna P. Gummadi |
| 2021 | ICDM | Detecting and Mitigating Test-time Failure Risks via Model-agnostic Uncertainty Learning. | Preethi Lahoti, Krishna P. Gummadi, Gerhard Weikum |
| 2019 | ICDE | iFair: Learning Individually Fair Data Representations for Algorithmic Decision Making. | Preethi Lahoti, Krishna P. Gummadi, Gerhard Weikum |
| 2018 | WSDM | Joint Non-negative Matrix Factorization for Learning Ideological Leaning on Twitter. | Preethi Lahoti, Kiran Garimella, Aristides Gionis |
| 2017 | ALENEX | Efficient Set Intersection Counting Algorithm for Text Similarity Measures. | Preethi Lahoti, Patrick K. Nicholson, Bilyana Taneva |