DynamicGEM: A Library for Dynamic Graph Embedding Methods. - Palash Goyal; Sujit Rokka Chhetri; Ninareh Mehrabi; Emilio Ferrara; Arquimedes Canedo (CoRR, 2018)

Debiasing community detection: the importance of lowly connected nodes. - Ninareh Mehrabi; Fred Morstatter; Nanyun Peng 001; Aram Galstyan (ASONAM, 2019)

Man is to Person as Woman is to Location: Measuring Gender Bias in Named Entity Recognition. - Ninareh Mehrabi; Thamme Gowda; Fred Morstatter; Nanyun Peng 001; Aram Galstyan (HT, 2020)

Statistical Equity: A Fairness Classification Objective. - Ninareh Mehrabi; Yuzhong Huang; Fred Morstatter (CoRR, 2020)

The Leaky Pipeline in Physics Publishing. - Clara O. Ross; Aditya Gupta; Ninareh Mehrabi; Goran Muric; Kristina Lerman (CoRR, 2020)

Exacerbating Algorithmic Bias through Fairness Attacks. - Ninareh Mehrabi; Muhammad Naveed; Fred Morstatter; Aram Galstyan (AAAI, 2021)

Lawyers are Dishonest? Quantifying Representational Harms in Commonsense Knowledge Resources. - Ninareh Mehrabi; Pei Zhou; Fred Morstatter; Jay Pujara; Xiang Ren 001; Aram Galstyan (EMNLP (1), 2021)

Attributing Fair Decisions with Attention Interventions. - Ninareh Mehrabi; Umang Gupta; Fred Morstatter; Greg Ver Steeg; Aram Galstyan (CoRR, 2021)

Robust Conversational Agents against Imperceptible Toxicity Triggers. - Ninareh Mehrabi; Ahmad Beirami; Fred Morstatter; Aram Galstyan (NAACL-HLT, 2022)

Towards Multi-Objective Statistically Fair Federated Learning. - Ninareh Mehrabi; Cyprien de Lichy; John McKay; Cynthia He; William Campbell (CoRR, 2022)

Is the Elephant Flying? Resolving Ambiguities in Text-to-Image Generative Models. - Ninareh Mehrabi; Palash Goyal; Apurv Verma; Jwala Dhamala; Varun Kumar; Qian Hu; Kai-Wei Chang; Richard S. Zemel; Aram Galstyan; Rahul Gupta 001 (CoRR, 2022)

A Survey on Bias and Fairness in Machine Learning. - Ninareh Mehrabi; Fred Morstatter; Nripsuta Saxena; Kristina Lerman; Aram Galstyan (ACM Comput. Surv., 2022)

Where Does Bias in Common Sense Knowledge Models Come From? - Sara Melotte; Filip Ilievski; Linglan Zhang; Aditya Malte; Namita Mutha; Fred Morstatter; Ninareh Mehrabi (IEEE Internet Comput., 2022)

Resolving Ambiguities in Text-to-Image Generative Models. - Ninareh Mehrabi; Palash Goyal; Apurv Verma; Jwala Dhamala; Varun Kumar; Qian Hu; Kai-Wei Chang; Richard S. Zemel; Aram Galstyan; Rahul Gupta 001 (ACL (1), 2023)

JAB: Joint Adversarial Prompting and Belief Augmentation. - Ninareh Mehrabi; Palash Goyal; Anil Ramakrishna; Jwala Dhamala; Shalini Ghosh; Richard S. Zemel; Kai-Wei Chang; Aram Galstyan; Rahul Gupta 001 (CoRR, 2023)

Are you talking to ['xem'] or ['x', 'em']? On Tokenization and Addressing Misgendering in LLMs with Pronoun Tokenization Parity. - Anaelia Ovalle; Ninareh Mehrabi; Palash Goyal; Jwala Dhamala; Kai-Wei Chang; Richard S. Zemel; Aram Galstyan; Rahul Gupta 001 (CoRR, 2023)

Tree-of-Traversals: A Zero-Shot Reasoning Algorithm for Augmenting Black-box Language Models with Knowledge Graphs. - Elan Markowitz; Anil Ramakrishna; Jwala Dhamala; Ninareh Mehrabi; Charith Peris; Rahul Gupta 001; Kai-Wei Chang; Aram Galstyan (ACL (1), 2024)

Prompt Perturbation Consistency Learning for Robust Language Models. - Yao Qiang; Subhrangshu Nandi; Ninareh Mehrabi; Greg Ver Steeg; Anoop Kumar; Anna Rumshisky; Aram Galstyan (EACL (Findings), 2024)

FLIRT: Feedback Loop In-context Red Teaming. - Ninareh Mehrabi; Palash Goyal; Christophe Dupuy; Qian Hu; Shalini Ghosh; Richard S. Zemel; Kai-Wei Chang; Aram Galstyan; Rahul Gupta 001 (EMNLP, 2024)

Attribute Controlled Fine-tuning for Large Language Models: A Case Study on Detoxification. - Tao Meng; Ninareh Mehrabi; Palash Goyal; Anil Ramakrishna; Aram Galstyan; Richard S. Zemel; Kai-Wei Chang; Rahul Gupta 001; Charith Peris (EMNLP (Findings), 2024)

Data Advisor: Dynamic Data Curation for Safety Alignment of Large Language Models. - Fei Wang 060; Ninareh Mehrabi; Palash Goyal; Rahul Gupta 001; Kai-Wei Chang; Aram Galstyan (EMNLP, 2024)

The steerability of large language models toward data-driven personas. - Junyi Li; Charith Peris; Ninareh Mehrabi; Palash Goyal; Kai-Wei Chang; Aram Galstyan; Richard S. Zemel; Rahul Gupta 001 (NAACL-HLT, 2024)

Tokenization Matters: Navigating Data-Scarce Tokenization for Gender Inclusive Language Technologies. - Anaelia Ovalle; Ninareh Mehrabi; Palash Goyal; Jwala Dhamala; Kai-Wei Chang; Richard S. Zemel; Aram Galstyan; Yuval Pinter; Rahul Gupta 001 (NAACL-HLT (Findings), 2024)

MICo: Preventative Detoxification of Large Language Models through Inhibition Control. - Roy Siegelmann; Ninareh Mehrabi; Palash Goyal; Prasoon Goyal; Lisa Bauer; Jwala Dhamala; Aram Galstyan; Rahul Gupta 001; Reza Ghanadan (NAACL-HLT (Findings), 2024)

Towards Safety Reasoning in LLMs: AI-agentic Deliberation for Policy-embedded CoT Data Creation. - Tharindu Kumarage; Ninareh Mehrabi; Anil Ramakrishna; Xinyan Zhao; Richard S. Zemel; Kai-Wei Chang; Aram Galstyan; Rahul Gupta 001; Charith Peris (ACL (Findings), 2025)

On Localizing and Deleting Toxic Memories in Large Language Models. - Anubrata Das 001; Manoj Kumar 007; Ninareh Mehrabi; Anil Ramakrishna; Anna Rumshisky; Kai-Wei Chang; Aram Galstyan; Morteza Ziyadi; Rahul Gupta 001 (NAACL (Findings), 2025)

K-Edit: Language Model Editing with Contextual Knowledge Awareness. - Elan Markowitz; Anil Ramakrishna; Ninareh Mehrabi; Charith Peris; Rahul Gupta 001; Kai-Wei Chang; Aram Galstyan (CoRR, 2025)

Strategize Globally, Adapt Locally: A Multi-Turn Red Teaming Agent with Dual-Level Learning. - Si Chen 008; Xiao Yu; Ninareh Mehrabi; Rahul Gupta 001; Zhou Yu; Ruoxi Jia 001 (CoRR, 2025)

DiCoRe: Enhancing Zero-shot Event Detection via Divergent-Convergent LLM Reasoning. - Tanmay Parekh; Kartik Mehta; Ninareh Mehrabi; Kai-Wei Chang; Nanyun Peng 001 (CoRR, 2025)

Kaleidoscopic Teaming in Multi Agent Simulations. - Ninareh Mehrabi; Tharindu Kumarage; Kai-Wei Chang; Aram Galstyan; Rahul Gupta 001 (CoRR, 2025)

Evaluating the Critical Risks of Amazon's Nova Premier under the Frontier Model Safety Framework. - Satyapriya Krishna; Ninareh Mehrabi; Abhinav Mohanty; Matteo Memelli; Vincent Ponzo; Payal Motwani; Rahul Gupta 001 (CoRR, 2025)

Diagnosing Memorization in Chain-of-Thought Reasoning, One Token at a Time. - Huihan Li 001; You Chen; Siyuan Wang; Yixin He; Ninareh Mehrabi; Rahul Gupta 001; Xiang Ren 001 (CoRR, 2025)