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ORCIDNinareh Mehrabi
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Journal Articles
- 2022
[j2]Ninareh Mehrabi, Fred Morstatter
, Nripsuta Saxena, Kristina Lerman, Aram Galstyan:
A Survey on Bias and Fairness in Machine Learning. ACM Comput. Surv. 54(6): 115:1-115:35 (2022)- [j1]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): 12-20 (2022)
Conference and Workshop Papers
- 2024
- [c14]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: 12302-12319 - [c13]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: 1357-1370 - [c12]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. EMNLP 2024: 703-718 - [c11]Fei Wang, Ninareh Mehrabi, Palash Goyal, Rahul Gupta, Kai-Wei Chang, Aram Galstyan:
Data Advisor: Dynamic Data Curation for Safety Alignment of Large Language Models. EMNLP 2024: 8089-8100 - [c10]Tao Meng, Ninareh Mehrabi, Palash Goyal, Anil Ramakrishna, Aram Galstyan, Richard S. Zemel, Kai-Wei Chang, Rahul Gupta, Charith Peris:
Attribute Controlled Fine-tuning for Large Language Models: A Case Study on Detoxification. EMNLP (Findings) 2024: 13329-13341 - [c9]Roy Siegelmann, Ninareh Mehrabi, Palash Goyal, Prasoon Goyal, Lisa Bauer, Jwala Dhamala, Aram Galstyan, Rahul Gupta, Reza Ghanadan:
MICo: Preventative Detoxification of Large Language Models through Inhibition Control. NAACL-HLT (Findings) 2024: 1696-1703 - [c8]Anaelia Ovalle, Ninareh Mehrabi, Palash Goyal, Jwala Dhamala, Kai-Wei Chang, Richard S. Zemel, Aram Galstyan, Yuval Pinter, Rahul Gupta:
Tokenization Matters: Navigating Data-Scarce Tokenization for Gender Inclusive Language Technologies. NAACL-HLT (Findings) 2024: 1739-1756 - [c7]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: 7290-7305 - 2023
- [c6]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: 14367-14388 - 2022
- [c5]Ninareh Mehrabi, Ahmad Beirami, Fred Morstatter, Aram Galstyan:
Robust Conversational Agents against Imperceptible Toxicity Triggers. NAACL-HLT 2022: 2831-2847 - 2021
- [c4]Ninareh Mehrabi, Muhammad Naveed, Fred Morstatter, Aram Galstyan:
Exacerbating Algorithmic Bias through Fairness Attacks. AAAI 2021: 8930-8938 - [c3]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: 5016-5033 - 2020
- [c2]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: 231-232 - 2019
- [c1]Ninareh Mehrabi, Fred Morstatter, Nanyun Peng, Aram Galstyan:
Debiasing community detection: the importance of lowly connected nodes. ASONAM 2019: 509-512
Informal and Other Publications
- 2024
- [i18]Yao Qiang, Subhrangshu Nandi, Ninareh Mehrabi, Greg Ver Steeg, Anoop Kumar, Anna Rumshisky, Aram Galstyan:
Prompt Perturbation Consistency Learning for Robust Language Models. CoRR abs/2402.15833 (2024) - [i17]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 abs/2407.21358 (2024) - 2023
- [i16]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 abs/2308.04265 (2023) - [i15]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 abs/2311.04978 (2023) - [i14]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 abs/2311.09473 (2023) - [i13]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 abs/2312.11779 (2023) - 2022
- [i12]Ninareh Mehrabi, Cyprien de Lichy, John McKay, Cynthia He, William Campbell:
Towards Multi-Objective Statistically Fair Federated Learning. CoRR abs/2201.09917 (2022) - [i11]Ninareh Mehrabi, Ahmad Beirami, Fred Morstatter, Aram Galstyan:
Robust Conversational Agents against Imperceptible Toxicity Triggers. CoRR abs/2205.02392 (2022) - [i10]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 abs/2211.12503 (2022) - 2021
- [i9]Ninareh Mehrabi, Pei Zhou, Fred Morstatter, Jay Pujara, Xiang Ren, Aram Galstyan:
Lawyers are Dishonest? Quantifying Representational Harms in Commonsense Knowledge Resources. CoRR abs/2103.11320 (2021) - [i8]Ninareh Mehrabi, Umang Gupta, Fred Morstatter, Greg Ver Steeg, Aram Galstyan:
Attributing Fair Decisions with Attention Interventions. CoRR abs/2109.03952 (2021) - 2020
- [i7]Ninareh Mehrabi, Yuzhong Huang, Fred Morstatter:
Statistical Equity: A Fairness Classification Objective. CoRR abs/2005.07293 (2020) - [i6]Clara O. Ross, Aditya Gupta, Ninareh Mehrabi, Goran Muric, Kristina Lerman:
The Leaky Pipeline in Physics Publishing. CoRR abs/2010.08912 (2020) - [i5]Ninareh Mehrabi, Muhammad Naveed, Fred Morstatter, Aram Galstyan:
Exacerbating Algorithmic Bias through Fairness Attacks. CoRR abs/2012.08723 (2020) - 2019
- [i4]Ninareh Mehrabi, Fred Morstatter, Nanyun Peng, Aram Galstyan:
Debiasing Community Detection: The Importance of Lowly-Connected Nodes. CoRR abs/1903.08136 (2019) - [i3]Ninareh Mehrabi, Fred Morstatter, Nripsuta Saxena, Kristina Lerman, Aram Galstyan:
A Survey on Bias and Fairness in Machine Learning. CoRR abs/1908.09635 (2019) - [i2]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 abs/1910.10872 (2019) - 2018
- [i1]Palash Goyal, Sujit Rokka Chhetri, Ninareh Mehrabi, Emilio Ferrara, Arquimedes Canedo:
DynamicGEM: A Library for Dynamic Graph Embedding Methods. CoRR abs/1811.10734 (2018)
Coauthor Index
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