AART: AI-Assisted Red-Teaming with Diverse Data Generation for New LLM-powered Applications. - Bhaktipriya Radharapu; Kevin Robinson; Lora Aroyo; Preethi Lahoti (EMNLP (Industry Track), 2023)

Safety and Fairness for Content Moderation in Generative Models. - Susan Hao; Piyush Kumar; Sarah Laszlo; Shivani Poddar; Bhaktipriya Radharapu; Renee Shelby (CoRR, 2023)

Debiasing Text Safety Classifiers through a Fairness-Aware Ensemble. - Olivia Sturman; Aparna Joshi; Bhaktipriya Radharapu; Piyush Kumar; Renee Shelby (EMNLP (Industry Track), 2024)

RealSeal: Revolutionizing Media Authentication with Real-Time Realism Scoring. - Bhaktipriya Radharapu; Harish Krishna (ICMI, 2024)

ShieldGemma: Generative AI Content Moderation Based on Gemma. - Wenjun Zeng; Yuchi Liu; Ryan Mullins; Ludovic Peran; Joe Fernandez; Hamza Harkous; Karthik Narasimhan; Drew Proud; Piyush Kumar; Bhaktipriya Radharapu; Olivia Sturman; Oscar Wahltinez (CoRR, 2024)

Chained Tuning Leads to Biased Forgetting. - Megan Ung; Alicia Sun; Samuel J. Bell; Bhaktipriya Radharapu; Levent Sagun; Adina Williams (CoRR, 2024)

Arbiters of Ambivalence: Challenges of using LLMs in No-Consensus tasks. - Bhaktipriya Radharapu; Manon Revel; Megan Ung; Sebastian Ruder; Adina Williams (ACL (Findings), 2025)

AILuminate: Introducing v1.0 of the AI Risk and Reliability Benchmark from MLCommons. - Shaona Ghosh; Heather Frase; Adina Williams; Sarah Luger; Paul Röttger; Fazl Barez; Sean McGregor; Kenneth Fricklas; Mala Kumar; Quentin Feuillade-Montixi; Kurt Bollacker; Felix Friedrich; et al. (CoRR, 2025)

Cultivating Pluralism In Algorithmic Monoculture: The Community Alignment Dataset. - Lily Hong Zhang; Smitha Milli; Karen Jusko; Jonathan Smith; Brandon Amos; Wassim Bouaziz; Manon Revel; Jack Kussman; Lisa Titus; Bhaktipriya Radharapu; Jane Yu; Vidya Sarma; et al. (CoRR, 2025)