Publications
This section contains publications published by ISI over the past several decades.
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
ACL'24, 2024
Proceedings of the 4th Workshop on Trustworthy Natural Language Processing (TrustNLP 2024)
Kai-Wei Chang, Anaelia Ovalle, Jieyu Zhao, Yang Trista Cao, Ninareh Mehrabi, Aram Galstyan, Jwala Dhamala, Anoop Kumar, Rahul Gupta
Proceedings of the 4th Workshop on Trustworthy Natural Language Processing …, 2024
Tokenization matters: Navigating data-scarce tokenization for gender inclusive language technologies
Anaelia Ovalle, Ninareh Mehrabi, Palash Goyal, Jwala Dhamala, Kai-Wei Chang, Richard Zemel, Aram Galstyan, Yuval Pinter, Rahul Gupta
Findings of the Association for Computational Linguistics: NAACL 2024, 1739-1756, 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
Findings of the Association for Computational Linguistics: NAACL 2024, 1696-1703, 2024
Agenda-Driven Question Generation: A Case Study in the Courtroom Domain
Yi Fung, Anoop Kumar, Aram Galstyan, Heng Ji, Prem Natarajan
Proceedings of the 2024 Joint International Conference on Computational …, 2024
q-Diffusion leverages the full dimensionality of gene coexpression in single-cell transcriptomics
Myrl G Marmarelis, Russell Littman, Francesca Battaglin, Donna Niedzwiecki, Alan Venook, Jose-Luis Ambite, Aram Galstyan, Heinz-Josef Lenz, Greg Ver Steeg
Communications Biology 7 (1), 400, 2024
Correcting Language Model Outputs by Editing Salient Layers
Kshitij Mishra, Tamer Soliman, Anil Ramakrishna, Aram Galstyan, Anoop Kumar
Findings of the Association for Computational Linguistics: EACL 2024, 1295-1305, 2024
Prompt perturbation consistency learning for robust language models
Yao Qiang, Subhrangshu Nandi, Ninareh Mehrabi, Greg Ver Steeg, Anoop Kumar, Anna Rumshisky, Aram Galstyan
arXiv preprint arXiv:2402.15833, 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
Susceptibility to Unreliable Information Sources: Swift Adoption with Minimal Exposure
Jinyi Ye, Luca Luceri, Julie Jiang, Emilio Ferrara
WWW '24: Proceedings of the ACM Web Conference 2024, 4674-4685, 2024
Automated claim matching with large language models: empowering fact-checkers in the fight against misinformation
Eun Cheol Choi, Emilio Ferrara
WWW '24: Companion Proceedings of the ACM Web Conference 2024, 1441-1449, 2024
Leveraging Large Language Models to Detect Influence Campaigns on Social Media
Luca Luceri, Eric Boniardi, Emilio Ferrara
WWW '24: Companion Proceedings of the ACM Web Conference 2024, 1459-1467, 2024
Unmasking the web of deceit: Uncovering coordinated activity to expose information operations on Twitter
Luca Luceri, Valeria Pantè, Keith Burghardt, Emilio Ferrara
WWW '24: Proceedings of the ACM Web Conference 2024, 2530-2541, 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