Publications

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2024

The generalization and robustness of transformer-based language models on commonsense reasoning

Ke Shen

Proceedings of the AAAI Conference on Artificial Intelligence 38 (21), 23419 …, 2024

A Tool for Distributed Collaborative Causal Discovery

Alexey Tregubov, Jeremy Abramson, Stephen Schwab, Jim Blythe

International Conference on Social Computing, Behavioral-Cultural Modeling …, 2024

Creating Thriving Data-Centric Communities from Basic Research to Commercial Applications

Robert Schuler, Carl Kesselman

2024 IEEE 20th International Conference on e-Science (e-Science), 1-3, 2024

Speechworthy Instruction-tuned Language Models

Hyundong Cho, Nicolaas Jedema, Leonardo FR Ribeiro, Karishma Sharma, Pedro Szekely, Alessandro Moschitti, Ruben Janssen, Jonathan May

EMNLP 2024, 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

Merge/Space: A Security Testbed For Satellite Systems

M. Patrick Collins, J.P. Walters, Calvin Ardi, Chris Tran, Stephen Schwab

SpaceSec 2024, 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

Information Sciences Institute

Publications

2024

The generalization and robustness of transformer-based language models on commonsense reasoning

A Tool for Distributed Collaborative Causal Discovery

Creating Thriving Data-Centric Communities from Basic Research to Commercial Applications

Speechworthy Instruction-tuned Language Models

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

Improving Covert Toxicity Detection by Retrieving and Generating References

BotEval: Facilitating Interactive Human Evaluation

Can Language Model Moderators Improve the Health of Online Discourse?

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

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

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

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

Optimal Flow Collector Placement In Experimental Networks

Superflows: A New Tool for Forensic Network Flow Analysis

Merge/Space: A Security Testbed For Satellite Systems

DISTRI: Development and Integration of Simulation Tools for Resilient Infrastructure

Large Language Models for Anomaly Detection in Computational Workflows: From Supervised Fine-Tuning to In-Context Learning

Dynamic Tracking, MLOps, and Workflow Integration: Enabling Transparent Reproducibility in Machine Learning

Paving the way to hybrid quantum–classical scientific workflows

Modified CORDIC Algorithm for Givens Rotator