Publications

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

2024

Are Machines Better at Complex Reasoning? Unveiling Human-Machine Inference Gaps in Entailment Verification

Soumya Sanyal, Tianyi Xiao, Jiacheng Liu, Wenya Wang, Xiang Ren
Findings of the Association for Computational Linguistics ACL 2024, 10361-10386,  2024

Stress-testing long-context language models with lifelong icl and task haystack

Xiaoyue Xu, Qinyuan Ye, Xiang Ren
arXiv preprint arXiv:2407.16695,  2024

Rel-AI: An Interaction-Centered Approach To Measuring Human-LM Reliance

Kaitlyn Zhou, Jena D Hwang, Xiang Ren, Nouha Dziri, Dan Jurafsky, Maarten Sap
arXiv preprint arXiv:2407.07950,  2024

Collaborative Multi-Task Representation for Natural Language Understanding

Yaming Yang, Defu Cao, Ming Zeng, Jing Yu, Xiang Ren, Yunhai Tong, Yujing Wang
2024 International Joint Conference on Neural Networks (IJCNN), 1-8,  2024

Backdooring instruction-tuned large language models with virtual prompt injection

Jun Yan, Vikas Yadav, Shiyang Li, Lichang Chen, Zheng Tang, Hai Wang, Vijay Srinivasan, Xiang Ren, Hongxia Jin
Proceedings of the 2024 Conference of the North American Chapter of the …,  2024

Wildchat: 1m chatgpt interaction logs in the wild

Wenting Zhao, Xiang Ren, Jack Hessel, Claire Cardie, Yejin Choi, Yuntian Deng
arXiv preprint arXiv:2405.01470,  2024

Culture-gen: Revealing global cultural perception in language models through natural language prompting

Huihan Li, Liwei Jiang, Jena D Hwang, Hyunwoo Kim, Sebastin Santy, Taylor Sorensen, Bill Yuchen Lin, Nouha Dziri, Xiang Ren, Yejin Choi
arXiv preprint arXiv:2404.10199,  2024

Logits of api-protected llms leak proprietary information

Matthew Finlayson, Xiang Ren, Swabha Swayamdipta
arXiv preprint arXiv:2403.09539,  2024

WINOVIZ: Probing Visual Properties of Objects Under Different States

Woojeong Jin, Tejas Srinivasan, Jesse Thomason, Xiang Ren
arXiv preprint arXiv:2402.13584,  2024

Can llms reason with rules? logic scaffolding for stress-testing and improving llms

Siyuan Wang, Zhongyu Wei, Yejin Choi, Xiang Ren
arXiv preprint arXiv:2402.11442,  2024

Discovering Likely Program Invariants for Persistent Memory

Zunchen Huang, Srivatsan Ravi, Chao Wang
Proceedings of the 39th IEEE/ACM International Conference on Automated …,  2024

FedGraph: A Research Library and Benchmark for Federated Graph Learning

Yuhang Yao, Yuan Li, Xinyi Fan, Junhao Li, Kay Liu, Weizhao Jin, Srivatsan Ravi, Philip S Yu, Carlee Joe-Wong
arXiv preprint arXiv:2410.06340,  2024

Secure federated learning for neuroimaging

Dimitris Stripelis, Umang Gupta, Hamza Saleem, Nikhil Dhinagar, Tanmay Ghai, Rafael Sanchez, Chrysovalantis Anastasiou, Armaghan Asghar, GV Steeg, Srivatsan Ravi
Patterns 5 (8),  2024

Feasibility of Privacy-Preserving Entity Resolution on Confidential Healthcare Datasets Using Homomorphic Encryption

Yixiang Yao, Joseph Cecil, Praveen Angyan, Neil Bahroos, Srivatsan Ravi
arXiv preprint arXiv:2405.18430,  2024

Privacy-preserving language model inference with instance obfuscation

Yixiang Yao, Fei Wang, Srivatsan Ravi, Muhao Chen
arXiv preprint arXiv:2402.08227,  2024

FedGCN: convergence-communication tradeoffs in federated training of graph convolutional networks

Yuhang Yao, Weizhao Jin, Srivatsan Ravi, Carlee Joe-Wong
Advances in neural information processing systems 36,  2024

RED QUEEN: Safeguarding Large Language Models against Concealed Multi-Turn Jailbreaking

Yifan Jiang, Kriti Aggarwal, Tanmay Laud, Kashif Munir, Jay Pujara, Subhabrata Mukherjee
arXiv preprint arXiv:2409.17458,  2024

Surprising Resilience of Science During a Global Pandemic: A Large-Scale Descriptive Analysis

Kian Ahrabian, Casandra Rusti, Ziao Wang, Jay Pujara, Kristina Lerman
arXiv preprint arXiv:2409.07710,  2024

Integrating Pre-Trained Language Model with Physical Layer Communications

Ju-Hyung Lee, Dong-Ho Lee, Joohan Lee, Jay Pujara
IEEE Transactions on Wireless Communications 23 (11), 17266-17278,  2024