Publications
This section contains publications published by ISI over the past several decades.
2024
Leveraging LLMs for dialogue quality measurement
Jinghan Jia, Abi Komma, Timothy Leffel, Xujun Peng, Ajay Nagesh, Tamer Soliman, Aram Galstyan, Anoop Kumar
Believe: Belief-enhanced instruction generation and augmentation for zero-shot bias mitigation
Lisa Bauer, Ninareh Mehrabi, Palash Goyal, Kai-Wei Chang, Aram Galstyan, Rahul Gupta
Phishing Email Detection Using Inputs From Artificial Intelligence
Mithün Paul, Genevieve Bartlett, Jelena Mirkovic, Marjorie Freedman
arXiv preprint arXiv:2405.12494, 2024
Large language models for wearable sensor-based human activity recognition, health monitoring, and behavioral modeling: a survey of early trends, datasets, and challenges
Emilio Ferrara
Sensors 24 (15), 5045, 2024
Factuality challenges in the era of large language models and opportunities for fact-checking
Isabelle Augenstein, Timothy Baldwin, Meeyoung Cha, Tanmoy Chakraborty, Giovanni Luca Ciampaglia, David Corney, Renee DiResta, Emilio Ferrara, Scott Hale, Alon Halevy, Eduard Hovy, Heng Ji, Filippo Menczer, Ruben Miguez, Preslav Nakov, Dietram Scheufele, Shivam Sharma, Giovanni Zagni
Nature Machine Intelligence 6 (8), 852-863, 2024
Charting the Landscape of Nefarious Uses of Generative Artificial Intelligence for Online Election Interference
Emilio Ferrara
arXiv preprint arXiv:2406.01862, 2024
The Butterfly Effect in Artificial Intelligence Systems: Implications for AI Bias and Fairness
Emilio Ferrara
Machine Learning with Applications 15, 100525, 2024
GET-Tok: A GenAI-Enriched Multimodal TikTok Dataset Documenting the 2022 Attempted Coup in Peru
Gabriela Pinto, Keith Burghardt, Kristina Lerman, Emilio Ferrara
arXiv preprint arXiv:2402.05882, 2024
Attraction to Politically Extreme Users on Social Media
Federico Zimmerman, David Bailey, Goran Muric, Emilio Ferrara, Jonas Schöne, Robb Willer, Eran Halperin, Joaquin Navajas, James Gross, Amit Goldenberg
PNAS Nexus 3 (10), pgae395, 2024
Tracing the Unseen: Uncovering Human Trafficking Patterns in Job Listings
Siyi Zhou, Jiankun Peng, Emilio Ferrara
Proceedings of the ICWSM Workshops, 2024
Hidden in Plain Sight: Exploring the Intersections of Mental Health, Eating Disorders, and Content Moderation on TikTok
Charles Bickham, Kia Kazemi-Nia, Luca Luceri, Kristina Lerman, Emilio Ferrara
Proceedings of the ICWSM Workshops, 2024
GenAI Against Humanity: Nefarious Applications of Generative Artificial Intelligence and Large Language Models
Emilio Ferrara
Journal of Computational Social Science 7, 549-569, 2024
Fairness And Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, And Mitigation Strategies
Emilio Ferrara
Sci 6 (1), 3, 2024
Political-LLM: Large Language Models in Political Science
Lincan Li, Jiaqi Li, Catherine Chen, Fred Gui, Hongjia Yang, Chenxiao Yu, Zhengguang Wang, Jianing Cai, Junlong Aaron Zhou, Bolin Shen, Alex Qian, Weixin Chen, Zhongkai Xue, Lichao Sun, Lifang He, Hanjie Chen, Kaize Ding, Zijian Du, Fangzhou Mu, Jiaxin Pei, Jieyu Zhao, Swabha Swayamdipta, Willie Neiswanger, Hua Wei, Xiyang Hu, Shixiang Zhu, Tianlong Chen, Yingzhou Lu, Yang Shi, Lianhui Qin, Tianfan Fu, Zhengzhong Tu, Yuzhe Yang, Jaemin Yoo, Jiaheng Zhang, Ryan Rossi, Liang Zhan, Liang Zhao, Emilio Ferrara, Yan Liu, Furong Huang, Xiangliang Zhang, Lawrence Rothenberg, Shuiwang Ji, Philip S Yu, Yue Zhao, Yushun Dong
arXiv preprint arXiv:2412.06864, 2024
Word embedding for social sciences: An interdisciplinary survey
Akira Matsui, Emilio Ferrara
PeerJ Computer Science 10 (e2562), 2024
Durbin: Internet Outage Detection with Adaptive Passive Analysis
Asma Enayet, John Heidemann
arXiv preprint arXiv:2411.17958, 2024
DISTRI: Development and Integration of Simulation Tools for Resilient Infrastructure
Imtiaz Mahmud, Pawel Zuk, Cong Wang, Mariam Kiran, Kesheng Wu, Komal Thareja, Krishnan Raghavan, Anirban Mandal, Ewa Deelman
2024 IEEE International Conference on Big Data (BigData), 4167-4177, 2024
Large Language Models for Anomaly Detection in Computational Workflows: From Supervised Fine-Tuning to In-Context Learning
Hongwei Jin, George Papadimitriou, Krishnan Raghavan, Pawel Zuk, Prasanna Balaprakash, Cong Wang, Anirban Mandal, Ewa Deelman
SC24: International Conference for High Performance Computing, Networking …, 2024
Dynamic Tracking, MLOps, and Workflow Integration: Enabling Transparent Reproducibility in Machine Learning
Hamza Safri, George Papadimitriou, Ewa Deelman
2024 IEEE 20th International Conference on e-Science (e-Science), 1-10, 2024
Paving the way to hybrid quantum–classical scientific workflows
Sandeep Suresh Cranganore, Vincenzo De Maio, Ivona Brandic, Ewa Deelman
Future Generation Computer Systems 158, 346-366, 2024