Publications
This section contains publications published by ISI over the past several decades.
2023
Detecting Social Media Manipulation in Low-resource Languages
Samar Haider, Luca Luceri, Ashok Deb, Adam Badawy, Nanyun Peng, Emilio Ferrara
WWW '23: Companion Proceedings of the ACM Web Conference 2023, 1358-1364, 2023
Eliminating bias in AI may be impossible–a computer scientist explains how to tame it instead
Emilio Ferrara
2024-05-19]. https://www. llrx. com/2023/07/eliminating-bias-in-ai-maybe …, 2023
Hybrid Forecasting of Geopolitical Events
Daniel M Benjamin, Fred Morstatter, Ali E Abbas, Andres Abeliuk, Pavel Atanasov, Stephen Bennett, Andreas Beger, Saurabh Birari, David V Budescu, Michele Catasta, Emilio Ferrara, Lucas Haravitch, Mark Himmelstein, KSM Tozammel Hossain, Yuzhong Huang, Woojeong Jin, Regina Joseph, Jure Leskovec, Akira Matsui, Mehrnoosh Mirtaheri, Xiang Ren, Gleb Satyukov, Rajiv Sethi, Amandeep Singh, Rok Sosic, Mark Steyvers, Pedro A Szekely, Michael D Ward, Aram Galstyan
AI Magazine, 2023
Identifying and Characterizing Behavioral Classes of Radicalization within the QAnon Conspiracy on Twitter
Emily L Wang, Luca Luceri, Francesco Pierri, Emilio Ferrara
ICWSM 2023 - 17th International AAAI Conference on Web and Social Media, 2023
What are Your Pronouns? Examining Gender Pronoun Usage on Twitter
Julie Jiang, Emily Chen, Luca Luceri, Goran Murić, Francesco Pierri, Ho-Chun Herbert Chang, Emilio Ferrara
Proceedings of the ICWSM Workshops, 2023
Zero-shot Meta-learning for Small-scale Data from Human Subjects
Julie Jiang, Kristina Lerman, Emilio Ferrara
ICHI 2023 - 11th IEEE International Conference on Healthcare Informatics, 2023
Tweets in Time of Conflict: A Public Dataset Tracking the Twitter Discourse on the War Between Ukraine and Russia
Emily Chen, Emilio Ferrara
ICWSM 2023 - 17th International AAAI Conference on Web and Social Media, 2023
Fairfed: Enabling Group Fairness in Federated Learning
Yahya H Ezzeldin, Shen Yan, Chaoyang He, Emilio Ferrara, Salman Avestimehr
AAAI 2023 - 37th AAAI Conference on Artificial Intelligence, 2023
ACQUIRED: A dataset for answering counterfactual questions in real-life videos
Te-Lin Wu, Zi-Yi Dou, Qingyuan Hu, Yu Hou, Nischal Reddy Chandra, Marjorie Freedman, Ralph M Weischedel, Nanyun Peng
arXiv preprint arXiv:2311.01620, 2023
Remember what you did so you know what to do next
Manuel R Ciosici, Alex Hedges, Yash Kankanampati, Justin Martin, Marjorie Freedman, Ralph Weischedel
arXiv preprint arXiv:2311.01468, 2023
Preventing Information Removal and Nabbing Harmful Actors (piranha)
Marjorie Freedman, Genevieve Bartless
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 Zemel, Aram Galstyan, Yuval Pinter, Rahul Gupta
arXiv preprint arXiv:2312.11779, 2023
Jab: Joint adversarial prompting and belief augmentation
Ninareh Mehrabi, Palash Goyal, Anil Ramakrishna, Jwala Dhamala, Shalini Ghosh, Richard Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta
arXiv preprint arXiv:2311.09473, 2023
On the steerability of large language models toward data-driven personas
Junyi Li, Ninareh Mehrabi, Charith Peris, Palash Goyal, Kai-Wei Chang, Aram Galstyan, Richard Zemel, Rahul Gupta
NAACL'24, 2023
The first workshop on personalized generative ai@ cikm 2023: Personalization meets large language models
Zheng Chen, Ziyan Jiang, Fan Yang, Zhankui He, Yupeng Hou, Eunah Cho, Julian McAuley, Aram Galstyan, Xiaohua Hu, Jie Yang
Proceedings of the 32nd ACM International Conference on Information and …, 2023
Causal Sensitivity Analysis for Hidden Confounding: Modeling the Sex-Specific Role of Diet on the Aging Brain
Elizabeth Haddad, Myrl G Marmarelis, Talia M Nir, Aram Galstyan, Greg Ver Steeg, Neda Jahanshad
International Workshop on Machine Learning in Clinical Neuroimaging, 91-101, 2023
Flirt: Feedback loop in-context red teaming
Ninareh Mehrabi, Palash Goyal, Christophe Dupuy, Qian Hu, Shalini Ghosh, Richard Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta
arXiv preprint arXiv:2308.04265, 2023
Partial identification of dose responses with hidden confounders
Myrl G Marmarelis, Elizabeth Haddad, Andrew Jesson, Neda Jahanshad, Aram Galstyan, Greg Ver Steeg
Uncertainty in Artificial Intelligence, 1368-1379, 2023
Toward More Accurate and Generalizable Evaluation Metrics for Task-Oriented Dialogs
Abishek Komma, Nagesh Panyam Chandrasekarasastry, Timothy Leffel, Anuj Goyal, Angeliki Metallinou, Spyros Matsoukas, Aram Galstyan
The 61st Annual Meeting Of The Association For Computational Linguistics …, 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 Zemel, Aram Galstyan, Rahul Gupta
Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023