Publications
This section contains publications published by ISI over the past several decades.
2024
Diverging Preferences: When do Annotators Disagree and do Models Know?
Michael JQ Zhang, Zhilin Wang, Jena D Hwang, Yi Dong, Olivier Delalleau, Yejin Choi, Eunsol Choi, Xiang Ren, Valentina Pyatkin
arXiv preprint arXiv:2410.14632, 2024
WildVis: Open Source Visualizer for Million-Scale Chat Logs in the Wild
Yuntian Deng, Wenting Zhao, Jack Hessel, Xiang Ren, Claire Cardie, Yejin Choi
arXiv preprint arXiv:2409.03753, 2024
Rethinking Backdoor Detection Evaluation for Language Models
Jun Yan, Wenjie Jacky Mo, Xiang Ren, Robin Jia
arXiv preprint arXiv:2409.00399, 2024
Symbolic working memory enhances language models for complex rule application
Siyuan Wang, Zhongyu Wei, Yejin Choi, Xiang Ren
arXiv preprint arXiv:2408.13654, 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
Demystifying forgetting in language model fine-tuning with statistical analysis of example associations
Xisen Jin, Xiang Ren
arXiv preprint arXiv:2406.14026, 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