Ninareh Mehrabi

According to our database, Ninareh Mehrabi authored at least 24 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Reza Ghanadan

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 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

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 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

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Data Advisor: Dynamic Data Curation for Safety Alignment of Large Language Models.

Fei Wang, Ninareh Mehrabi, Palash Goyal, Rahul Gupta, Kai-Wei Chang, Aram Galstyan

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 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, Charith Peris

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 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

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Prompt Perturbation Consistency Learning for Robust Language Models.

Yao Qiang, Subhrangshu Nandi, Ninareh Mehrabi, Greg Ver Steeg, Anoop Kumar, Anna Rumshisky, Aram Galstyan

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

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, Kai-Wei Chang, Aram Galstyan

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

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

CoRR, 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

CoRR, 2023

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

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

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

A Survey on Bias and Fairness in Machine Learning.

Ninareh Mehrabi, Fred Morstatter, Nripsuta Saxena, Kristina Lerman, Aram Galstyan

ACM Comput. Surv., 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

CoRR, 2022

Towards Multi-Objective Statistically Fair Federated Learning.

Ninareh Mehrabi, Cyprien de Lichy, John McKay, Cynthia He, William Campbell

CoRR, 2022

Robust Conversational Agents against Imperceptible Toxicity Triggers.

Ninareh Mehrabi, Ahmad Beirami, Fred Morstatter, Aram Galstyan

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

2021

Attributing Fair Decisions with Attention Interventions.

Ninareh Mehrabi, Umang Gupta, Fred Morstatter, Greg Ver Steeg, Aram Galstyan

CoRR, 2021

Lawyers are Dishonest? Quantifying Representational Harms in Commonsense Knowledge Resources.

Ninareh Mehrabi, Pei Zhou, Fred Morstatter, Jay Pujara, Xiang Ren, Aram Galstyan

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Exacerbating Algorithmic Bias through Fairness Attacks.

Ninareh Mehrabi, Muhammad Naveed, Fred Morstatter, Aram Galstyan

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

The Leaky Pipeline in Physics Publishing.

Clara O. Ross, Aditya Gupta, Ninareh Mehrabi, Goran Muric, Kristina Lerman

CoRR, 2020

Statistical Equity: A Fairness Classification Objective.

Ninareh Mehrabi, Yuzhong Huang, Fred Morstatter

CoRR, 2020

Man is to Person as Woman is to Location: Measuring Gender Bias in Named Entity Recognition.

Ninareh Mehrabi, Thamme Gowda, Fred Morstatter, Nanyun Peng, Aram Galstyan

Proceedings of the HT '20: 31st ACM Conference on Hypertext and Social Media, 2020

2019

Debiasing community detection: the importance of lowly connected nodes.

Ninareh Mehrabi, Fred Morstatter, Nanyun Peng, Aram Galstyan

Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

2018

DynamicGEM: A Library for Dynamic Graph Embedding Methods.

Palash Goyal, Sujit Rokka Chhetri, Ninareh Mehrabi, Emilio Ferrara, Arquimedes Canedo

CoRR, 2018