Exploring How Machine Learning Practitioners (Try To) Use Fairness Toolkits. - Wesley Hanwen Deng; Manish Nagireddy; Michelle Seng Ah Lee; Jatinder Singh; Zhiwei Steven Wu; Kenneth Holstein; Haiyi Zhu (FAccT, 2022)

A Sandbox Tool to Bias(Stress)-Test Fairness Algorithms. - Nil-Jana Akpinar; Manish Nagireddy; Logan Stapleton; Hao Fei Cheng; Haiyi Zhu; Zhiwei Steven Wu; Hoda Heidari (CoRR, 2022)

Function Composition in Trustworthy Machine Learning: Implementation Choices, Insights, and Questions. - Manish Nagireddy; Moninder Singh; Samuel C. Hoffman; Evaline Ju; Karthikeyan Natesan Ramamurthy; Kush R. Varshney (CoRR, 2023)

SocialStigmaQA: A Benchmark to Uncover Stigma Amplification in Generative Language Models. - Manish Nagireddy; Lamogha Chiazor; Moninder Singh; Ioana Baldini (AAAI, 2024)

Language Models in Dialogue: Conversational Maxims for Human-AI Interactions. - Erik Miehling; Manish Nagireddy; Prasanna Sattigeri; Elizabeth Daly; David Piorkowski; John T. Richards (EMNLP (Findings), 2024)

Value Alignment from Unstructured Text. - Inkit Padhi; Karthikeyan Natesan Ramamurthy; Prasanna Sattigeri; Manish Nagireddy; Pierre L. Dognin; Kush R. Varshney (EMNLP (Industry Track), 2024)

ComVas: Contextual Moral Values Alignment System. - Inkit Padhi; Pierre L. Dognin; Jesus Rios; Ronny Luss; Swapnaja Achintalwar; Matthew Riemer; Miao Liu 001; Prasanna Sattigeri; Manish Nagireddy; Kush R. Varshney; Djallel Bouneffouf 001 (IJCAI, 2024)

DARE to Diversify: DAta Driven and Diverse LLM REd Teaming. - Manish Nagireddy; Bernat Guillen Pegueroles; Ioana Baldini (KDD, 2024)

Detectors for Safe and Reliable LLMs: Implementations, Uses, and Limitations. - Swapnaja Achintalwar; Adriana Alvarado Garcia; Ateret Anaby-Tavor; Ioana Baldini; Sara E. Berger; Bishwaranjan Bhattacharjee; Djallel Bouneffouf 001; Subhajit Chaudhury; Pin-Yu Chen; Lamogha Chiazor; Elizabeth M. Daly; Rogério Abreu de Paula; et al. (CoRR, 2024)

Contextual Moral Value Alignment Through Context-Based Aggregation. - Pierre L. Dognin; Jesus Rios; Ronny Luss; Inkit Padhi; Matthew D. Riemer; Miao Liu 001; Prasanna Sattigeri; Manish Nagireddy; Kush R. Varshney; Djallel Bouneffouf 001 (CoRR, 2024)

When in Doubt, Cascade: Towards Building Efficient and Capable Guardrails. - Manish Nagireddy; Inkit Padhi; Soumya Ghosh; Prasanna Sattigeri (CoRR, 2024)

Granite Guardian. - Inkit Padhi; Manish Nagireddy; Giandomenico Cornacchia; Subhajit Chaudhury; Tejaswini Pedapati; Pierre L. Dognin; Keerthiram Murugesan; Erik Miehling; Martin Santillan Cooper; Kieran Fraser; Giulio Zizzo; Muhammad Zaid Hameed; et al. (CoRR, 2024)

Alignment Studio: Aligning Large Language Models to Particular Contextual Regulations. - Swapnaja Achintalwar; Ioana Baldini; Djallel Bouneffouf 001; Joan Byamugisha; Maria Chang 001; Pierre L. Dognin; Eitan Farchi; Ndivhuwo Makondo; Aleksandra Mojsilovic; Manish Nagireddy; Karthikeyan Natesan Ramamurthy; Inkit Padhi; et al. (IEEE Internet Comput., 2024)

Multi-Level Explanations for Generative Language Models. - Lucas Monteiro Paes; Dennis Wei; Hyo Jin Do; Hendrik Strobelt; Ronny Luss; Amit Dhurandhar; Manish Nagireddy; Karthikeyan Natesan Ramamurthy; Prasanna Sattigeri; Werner Geyer; Soumya Ghosh (ACL (1), 2025)

Contextual Value Alignment. - Pierre Dognin; Jesus Rios; Ronny Luss; Prasanna Sattigeri; Miao Liu 001; Inkit Padhi; Matthew Riemer; Manish Nagireddy; Kush R. Varshney; Djallel Bouneffouf 001 (ICASSP, 2025)

Programming Refusal with Conditional Activation Steering. - Bruce W. Lee; Inkit Padhi; Karthikeyan Natesan Ramamurthy; Erik Miehling; Pierre L. Dognin; Manish Nagireddy; Amit Dhurandhar (ICLR, 2025)

Granite Guardian: Comprehensive LLM Safeguarding. - Inkit Padhi; Manish Nagireddy; Giandomenico Cornacchia; Subhajit Chaudhury; Tejaswini Pedapati; Pierre L. Dognin; Keerthiram Murugesan; Erik Miehling; Martín Santillán Cooper; Kieran Fraser; Giulio Zizzo; Muhammad Zaid Hameed; et al. (NAACL (Industry Track), 2025)

The RealHumanEval: Evaluating Large Language Models' Abilities to Support Programmers. - Hussein Mozannar; Valerie Chen; Mohammed Alsobay; Subhro Das; Sebastian Zhao; Dennis Wei; Manish Nagireddy; Prasanna Sattigeri; Ameet Talwalkar; David A. Sontag (Trans. Mach. Learn. Res., 2025)