Publications

This section contains publications published by ISI over the past several decades.

2024

Show, Don't Tell: Aligning Language Models with Demonstrated Feedback

Omar Shaikh, Michelle Lam, Joey Hejna, Yijia Shao, Michael Bernstein, Diyi Yang
arXiv preprint arXiv:2406.00888,  2024

Improving Covert Toxicity Detection by Retrieving and Generating References

Dong-Ho Lee, Hyundong Cho, Woojeong Jin, Jihyung Moon, Sungjoon Park, Paul Röttger, Jay Pujara, Roy Ka-Wei Lee
Proceedings of the 8th Workshop on Online Abuse and Harms (WOAH 2024), 266-274,  2024

BotEval: Facilitating Interactive Human Evaluation

Hyundong Cho, Thamme Gowda, Yuyang Huang, Zixun Lu, Tianli Tong, Jonathan May
ACL 2024 SDT,  2024

Can Language Model Moderators Improve the Health of Online Discourse?

Hyundong Cho, Shuai Liu, Taiwei Shi, Darpan Jain, Basem Rizk, Yuyang Huang, Zixun Lu, Nuan Wen, Jonathan Gratch, Emilio Ferrera, Jonathan May
NAACL 2024,  2024

I Am Not Your Typical Chatbot: Hedonic and Utilitarian Evaluation of Open-Domain Chatbots

Joo-Wha Hong, Katrin Fischer, Donggyu Kim, Hyundong Justin Cho, Yuan Sun
International Journal of Human–Computer Interaction, 1-12,  2024

Dynamic physics-guided deep learning for long-term production forecasting in unconventional reservoirs

MS Razak, Jodel Cornelio, Young Cho, Hui-Hai Liu, Ravimadhav Vaidya, Behnam Jafarpour
SPE Journal, 1-19,  2024

CVAT-BWV: A Web-Based Video Annotation Platform for Police Body-Worn Video

Parsa Hejabi, Akshay Kiran Padte, Preni Golazizian, Rajat Hebbar, Jackson Trager, Georgios Chochlakis, Aditya Kommineni, Ellie Graeden, Shrikanth Narayanan, Benjamin AT Graham, Morteza Dehghani
Proceedings of the Thirty-Third International Joint Conference on Artificial …,  2024

Tackling missing modalities in audio-visual representation learning using masked autoencoders

Georgios Chochlakis, Chandrashekhar Lavania, Prashant Mathur, Kyu Han
2024

Optimal Flow Collector Placement In Experimental Networks

Ganesh Chennimalai Sankaran, Mukund Raghothaman, M Patrick Collins
2024 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW …,  2024

Superflows: A New Tool for Forensic Network Flow Analysis

Michael Collins, Jyotirmoy V Deshmukh, Dristi Dinesh, Mukund Raghothaman, Srivatsan Ravi, Yuan Xia
arXiv preprint arXiv:2403.01314,  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

Modified CORDIC Algorithm for Givens Rotator

Pawel Poczekajlo, Leonid Moroz, Ewa Deelman, Pawel Gepner
International Conference on Computational Science, 101-114,  2024

Machine Learning Workflows in the Computing Continuum for Environmental Monitoring

Alessio Catalfamo, Atakan Aral, Ivona Brandic, Ewa Deelman, Massimo Villari
International Conference on Computational Science, 368-382,  2024

2024 Advanced Scientific Computing Advisory Committee (ASCR) Facilities Subcommittee Recommendations

Ed Seidel, Amanda Randles, Rick Arthur, Keren Bergman, Bill Carlson, Ewa Deelman, Ray Grout, Bruce Hendrickson, Dan Reed
USDOE Office of Science (SC),  2024

Using open-science workflow tools to produce SCEC CyberShake physics-based probabilistic seismic hazard models

Scott Callaghan, Philip J Maechling, Fabio Silva, Mei-Hui Su, Kevin R Milner, Robert W Graves, Kim B Olsen, Yifeng Cui, Karan Vahi, Albert Kottke, Christine A Goulet, Ewa Deelman, Thomas H Jordan, Yehuda Ben-Zion
Frontiers in High Performance Computing 2, 1360720,  2024

A Workflow Management System Approach To Federated Learning: Application to Industry 4.0

Hamza Safri, George Papadimitriou, Frédéric Desprez, Ewa Deelman
2024 20th International Conference on Distributed Computing in Smart Systems …,  2024

Preface of special issue on advances in algorithms, models, hardware, and software for next-generations HPC systems

Roman Wyrzykowski, Ewa Deelman
Future Generation Computer Systems 153, 539-542,  2024