Publications
This section contains publications published by ISI over the past several decades.
2024
Towards real-time myocardial infarction diagnosis: a convergence of machine learning and ion-exchange membrane technologies leveraging miRNA signatures
Xiang Ren, Ruyu Zhou, George Ronan, S Gulberk Ozcebe, Jiaying Ji, Satyajyoti Senapati, Keith L March, Eileen Handberg, David Anderson, Carl J Pepine, Hsueh-Chia Chang, Fang Liu, Pinar Zorlutuna
Lab on a Chip 24 (23), 5203-5214, 2024
Attributing culture-conditioned generations to pretraining corpora
Huihan Li, Arnav Goel, Keyu He, Xiang Ren
arXiv preprint arXiv:2412.20760, 2024
In Search of the Long-Tail: Systematic Generation of Long-Tail Inferential Knowledge via Logical Rule Guided Search
Huihan Li, Yuting Ning, Zeyi Liao, Siyuan Wang, Xiang Lorraine Li, Ximing Lu, Wenting Zhao, Faeze Brahman, Yejin Choi, Xiang Ren
Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 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
Synthetic Data Generation for Machine Learning Models with Cognitive Agent Simulations
Jim Blythe, Alexey Tregubov
International Conference on Practical Applications of Agents and Multi-Agent …, 2024
Workflows community summit 2024: Future trends and challenges in scientific workflows
Rafael Ferreira Da Silva, Deborah Bard, Kyle Chard, Shaun de Witt, Ian T Foster, Tom Gibbs, Carole Goble, William Godoy, Johan Gustafsson, Utz-Uwe Haus, Stephen Hudson, Shantenu Jha, Laila Los, Drew Paine, Frédéric Suter, Logan Ward, Sean Wilkinson, Marcos Amaris, Yadu Babuji, Jonathan Bader, Riccardo Balin, Daniel Balouek, Sarah Beecroft, Khalid Belhajjame, Rajat Bhattarai, Wes Brewer, Paul Brunk, Silvina Caino-Lores, Henri Casanova, Daniela Cassol, Jared Coleman, Taina Coleman, Iacopo Colonnelli, Anderson Andrei Da Silva, Daniel de Oliveira, Pascal Elahi, Nour Elfaramawy, Wael Elwasif, Brian Etz, Thomas Fahringer, Wesley Ferreira, Rosa Filgueira, Jacob Fosso Tande, Luiz Gadelha, Andy Gallo, Daniel Garijo, Yiannis Georgiou, Philipp Gritsch, Patricia Grubel, Amal Gueroudji, Quentin Guilloteau, Carlo Hamalainen, Rolando Hong Enriquez, Lauren Huet, Kevin Hunter Kesling, Paula Iborra, Shiva Jahangiri, Jan Janssen, Joe Jordan, Sehrish Kanwal, Liliane Kunstmann, Fabian Lehmann, Ulf Leser, Chen Li, Peini Liu, Jakob Luettgau, Richard Lupat, Jose M Fernandez, Ketan Maheshwari, Tanu Malik, Jack Marquez, Motohiko Matsuda, Doriana Medic, Somayeh Mohammadi, Alberto Mulone, John-Luke Navarro, Kin Wai Ng, Klaus Noelp, Bruno P Kinoshita, Ryan Prout, Michael R Crusoe, Sashko Ristov, Stefan Robila, Daniel Rosendo, Billy Rowell, Jedrzej Rybicki, Hector Sanchez, Nishant Saurabh, Sumit Kumar Saurav, Tom Scogland, Dinindu Senanayake, Woong Shin, Raul Sirvent, Tyler Skluzacek, Barry Sly-Delgado, Stian Soiland-Reyes, Abel Souza, Renan Souza, Domenico Talia, Nathan Tallent, Lauritz Thamsen, Mikhail Titov, Benjamin Tovar, Karan Vahi, Eric Vardar-Irrgang, Edite Vartina, Yuandou Wang, Merridee Wouters, Qi Yu, Ziad Al Bkhetan, Mahnoor Zulfiqar
arXiv preprint arXiv:2410.14943, 2024