| 2026 | CHI | Can Good Writing Be Generative? Expert-Level AI Writing Emerges through Fine-Tuning on High Quality Books. | Tuhin Chakrabarty, Paramveer S. Dhillon |
| 2025 | PAKDD | Leveraging Group-Level Signals for Robust Many-Domain Generalization. | Bohan Zhang, Yachuan Liu, Qiaozhu Mei, Paramveer S. Dhillon |
| 2025 | RecSys | Recommendation and Temptation. | Md Sanzeed Anwar, Paramveer S. Dhillon, Grant Schoenebeck |
| 2024 | CHI | Shaping Human-AI Collaboration: Varied Scaffolding Levels in Co-writing with Language Models. | Paramveer S. Dhillon, Somayeh Molaei, Jiaqi Li, Maximilian Golub, Shaochun Zheng, Lionel Peter Robert |
| 2024 | WWW | Filter Bubble or Homogenization? Disentangling the Long-Term Effects of Recommendations on User Consumption Patterns. | Md Sanzeed Anwar, Grant Schoenebeck, Paramveer S. Dhillon |
| 2023 | ICWSM | Unique in What Sense? Heterogeneous Relationships between Multiple Types of Uniqueness and Popularity in Music. | Yulin Yu, Pui Yin Cheung, Yong-Yeol Ahn, Paramveer S. Dhillon |
| 2022 | ICWSM | Judging a Book by Its Cover: Predicting the Marginal Impact of Title on Reddit Post Popularity. | Evan Weissburg, Arya Kumar, Paramveer S. Dhillon |
| 2022 | SIGCSE | Detecting Struggling Students from Interactive Ebook Data: A Case Study Using CSAwesome. | Barbara J. Ericson, Hisamitsu Maeda, Paramveer S. Dhillon |
| 2021 | EDM | Comparing Ebook Student Interactions With Test Scores: A Case Study Using CSAwesome (Work in Progress). | Hisamitsu Maeda, Barbara Ericson, Paramveer S. Dhillon |
| 2013 | SSDBM | Learning to explore scientific workflow repositories. | Julia Stoyanovich, Paramveer S. Dhillon, Susan B. Davidson, Brian Lyons |
| 2012 | COLING | Metric Learning for Graph-Based Domain Adaptation. | Paramveer S. Dhillon, Partha Pratim Talukdar, Koby Crammer |
| 2012 | EMNLP | Spectral Dependency Parsing with Latent Variables. | Paramveer S. Dhillon, Jordan Rodu, Michael Collins, Dean P. Foster, Lyle H. Ungar |
| 2012 | ICML | Using CCA to improve CCA: A new spectral method for estimating vector models of words. | Paramveer S. Dhillon, Jordan Rodu, Dean P. Foster, Lyle H. Ungar |
| 2012 | MICCAI | Eigenanatomy Improves Detection Power for Longitudinal Cortical Change. | Brian B. Avants, Paramveer S. Dhillon, Benjamin M. Kandel, Philip A. Cook, Corey McMillan, Murray Grossman, James C. Gee |
| 2011 | CIKM | Semi-supervised multi-task learning of structured prediction models for web information extraction. | Paramveer S. Dhillon, Sundararajan Sellamanickam, Sathiya Keerthi Selvaraj |
| 2010 | ACL | Learning Better Data Representation Using Inference-Driven Metric Learning. | Paramveer S. Dhillon, Partha Pratim Talukdar, Koby Crammer |
| 2010 | EMNLP | A New Approach to Lexical Disambiguation of Arabic Text. | Rushin Shah, Paramveer S. Dhillon, Mark Y. Liberman, Dean P. Foster, Mohamed Maamouri, Lyle H. Ungar |
| 2009 | ACL | Transfer Learning, Feature Selection and Word Sense Disambiguation. | Paramveer S. Dhillon, Lyle H. Ungar |
| 2009 | CVPR | Combining appearance and motion for human action classification in videos. | Paramveer S. Dhillon, Sebastian Nowozin, Christoph H. Lampert |
| 2008 | ICDM | Efficient Feature Selection in the Presence of Multiple Feature Classes. | Paramveer S. Dhillon, Dean P. Foster, Lyle H. Ungar |