Ninareh Mehrabi

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 29

Top Topics

Knowledge Resources

Top Venues

IEEE Internet Comput.

Publications

Elan Markowitz, Anil Ramakrishna, Jwala Dhamala, Ninareh Mehrabi, Charith Peris, Rahul Gupta, Kai-Wei Chang, Aram Galstyan
Tree-of-Traversals: A Zero-Shot Reasoning Algorithm for Augmenting Black-box Language Models with Knowledge Graphs. ACL (1) (2024)
Yao Qiang, Subhrangshu Nandi, Ninareh Mehrabi, Greg Ver Steeg, Anoop Kumar, Anna Rumshisky, Aram Galstyan
Prompt Perturbation Consistency Learning for Robust Language Models. EACL (Findings) (2024)
Yao Qiang, Subhrangshu Nandi, Ninareh Mehrabi, Greg Ver Steeg, Anoop Kumar, Anna Rumshisky, Aram Galstyan
Prompt Perturbation Consistency Learning for Robust Language Models. CoRR (2024)
Junyi Li, Charith Peris, Ninareh Mehrabi, Palash Goyal, Kai-Wei Chang, Aram Galstyan, Richard S. Zemel, Rahul Gupta
The steerability of large language models toward data-driven personas. NAACL-HLT (2024)
Elan Markowitz, Anil Ramakrishna, Jwala Dhamala, Ninareh Mehrabi, Charith Peris, Rahul Gupta, Kai-Wei Chang, Aram Galstyan
Tree-of-Traversals: A Zero-Shot Reasoning Algorithm for Augmenting Black-box Language Models with Knowledge Graphs. CoRR (2024)
Ninareh Mehrabi, Palash Goyal, Anil Ramakrishna, Jwala Dhamala, Shalini Ghosh, Richard S. Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta
JAB: Joint Adversarial Prompting and Belief Augmentation. CoRR (2023)
Anaelia Ovalle, Ninareh Mehrabi, Palash Goyal, Jwala Dhamala, Kai-Wei Chang, Richard S. Zemel, Aram Galstyan, Rahul Gupta
Are you talking to ['xem'] or ['x', 'em']? On Tokenization and Addressing Misgendering in LLMs with Pronoun Tokenization Parity. CoRR (2023)
Junyi Li, Ninareh Mehrabi, Charith Peris, Palash Goyal, Kai-Wei Chang, Aram Galstyan, Richard S. Zemel, Rahul Gupta
On the steerability of large language models toward data-driven personas. CoRR (2023)
Ninareh Mehrabi, Palash Goyal, Christophe Dupuy, Qian Hu, Shalini Ghosh, Richard S. Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta
FLIRT: Feedback Loop In-context Red Teaming. CoRR (2023)
Ninareh Mehrabi, Palash Goyal, Apurv Verma, Jwala Dhamala, Varun Kumar, Qian Hu, Kai-Wei Chang, Richard S. Zemel, Aram Galstyan, Rahul Gupta
Resolving Ambiguities in Text-to-Image Generative Models. ACL (1) (2023)
Sara Melotte, Filip Ilievski, Linglan Zhang, Aditya Malte, Namita Mutha, Fred Morstatter, Ninareh Mehrabi
Where Does Bias in Common Sense Knowledge Models Come From? IEEE Internet Comput. 26 (4) (2022)
Ninareh Mehrabi, Cyprien de Lichy, John McKay, Cynthia He, William Campbell
Towards Multi-Objective Statistically Fair Federated Learning. CoRR (2022)
Ninareh Mehrabi, Ahmad Beirami, Fred Morstatter, Aram Galstyan
Robust Conversational Agents against Imperceptible Toxicity Triggers. NAACL-HLT (2022)
Ninareh Mehrabi, Ahmad Beirami, Fred Morstatter, Aram Galstyan
Robust Conversational Agents against Imperceptible Toxicity Triggers. CoRR (2022)
Ninareh Mehrabi, Palash Goyal, Apurv Verma, Jwala Dhamala, Varun Kumar, Qian Hu, Kai-Wei Chang, Richard S. Zemel, Aram Galstyan, Rahul Gupta
Is the Elephant Flying? Resolving Ambiguities in Text-to-Image Generative Models. CoRR (2022)
Ninareh Mehrabi, Pei Zhou, Fred Morstatter, Jay Pujara, Xiang Ren, Aram Galstyan
Lawyers are Dishonest? Quantifying Representational Harms in Commonsense Knowledge Resources. CoRR (2021)
Ninareh Mehrabi, Pei Zhou, Fred Morstatter, Jay Pujara, Xiang Ren, Aram Galstyan
Lawyers are Dishonest? Quantifying Representational Harms in Commonsense Knowledge Resources. EMNLP (1) (2021)
Ninareh Mehrabi, Umang Gupta, Fred Morstatter, Greg Ver Steeg, Aram Galstyan
Attributing Fair Decisions with Attention Interventions. CoRR (2021)
Ninareh Mehrabi, Fred Morstatter, Nripsuta Saxena, Kristina Lerman, Aram Galstyan
A Survey on Bias and Fairness in Machine Learning. ACM Comput. Surv. 54 (6) (2021)
Ninareh Mehrabi, Muhammad Naveed, Fred Morstatter, Aram Galstyan
Exacerbating Algorithmic Bias through Fairness Attacks. AAAI (2021)
Ninareh Mehrabi, Muhammad Naveed, Fred Morstatter, Aram Galstyan
Exacerbating Algorithmic Bias through Fairness Attacks. CoRR (2020)
Clara O. Ross, Aditya Gupta, Ninareh Mehrabi, Goran Muric, Kristina Lerman
The Leaky Pipeline in Physics Publishing. CoRR (2020)
Ninareh Mehrabi, Thamme Gowda, Fred Morstatter, Nanyun Peng, Aram Galstyan
Man is to Person as Woman is to Location: Measuring Gender Bias in Named Entity Recognition. HT (2020)
Ninareh Mehrabi, Yuzhong Huang, Fred Morstatter
Statistical Equity: A Fairness Classification Objective. CoRR (2020)
Ninareh Mehrabi, Fred Morstatter, Nanyun Peng, Aram Galstyan
Debiasing Community Detection: The Importance of Lowly-Connected Nodes. CoRR (2019)
Ninareh Mehrabi, Thamme Gowda, Fred Morstatter, Nanyun Peng, Aram Galstyan
Man is to Person as Woman is to Location: Measuring Gender Bias in Named Entity Recognition. CoRR (2019)
Ninareh Mehrabi, Fred Morstatter, Nripsuta Saxena, Kristina Lerman, Aram Galstyan
A Survey on Bias and Fairness in Machine Learning. CoRR (2019)
Ninareh Mehrabi, Fred Morstatter, Nanyun Peng, Aram Galstyan
Debiasing community detection: the importance of lowly connected nodes. ASONAM (2019)
Palash Goyal, Sujit Rokka Chhetri, Ninareh Mehrabi, Emilio Ferrara, Arquimedes Canedo
DynamicGEM: A Library for Dynamic Graph Embedding Methods. CoRR (2018)