| 2026 | ACL | Learning from Contrastive Prompts: An Automated Prompt Optimization Framework. | Mingqi Li, Karan Aggarwal, Yong Xie, Aitzaz Ahmad, Stephen Lau |
| 2024 | ACL | Efficient Continual Pre-training for Building Domain Specific Large Language Models. | Yong Xie, Karan Aggarwal, Aitzaz Ahmad |
| 2024 | WSDM | CharmBana: Progressive Responses with Real-Time Internet Search for Knowledge-Powered Conversations. | Revanth Gangi Reddy, Sharath Chandra Etagi Suresh, Hao Bai, Wentao Yao, Mankeerat Sidhu, Karan Aggarwal, Prathamesh Sonawane, ChengXiang Zhai |
| 2023 | ACL | ECG-QALM: Entity-Controlled Synthetic Text Generation using Contextual Q&A for NER. | Karan Aggarwal, Henry Jin, Aitzaz Ahmad |
| 2020 | SIGIR | Dynamic Clustering with Discrete Time Event Prediction. | Karan Aggarwal, Georgios Theocharous, Anup B. Rao |
| 2019 | AAAI | Adversarial Unsupervised Representation Learning for Activity Time-Series. | Karan Aggarwal, Shafiq R. Joty, Luis Fernndez-Luque, Jaideep Srivastava |
| 2019 | CHI | Temporal Proximity Filtering. | Arun Kumar, Karan Aggarwal, Paul R. Schrater |
| 2019 | EMNLP | Using Clinical Notes with Time Series Data for ICU Management. | Swaraj Khadanga, Karan Aggarwal, Shafiq R. Joty, Jaideep Srivastava |
| 2019 | ICS | Optimizing the linear fascicle evaluation algorithm for many-core systems. | Karan Aggarwal, Uday Bondhugula |
| 2019 | RecSys | Domain adaptation in display advertising: an application for partner cold-start. | Karan Aggarwal, Pranjul Yadav, S. Sathiya Keerthi |
| 2014 | MSR | Co-evolution of project documentation and popularity within github. | Karan Aggarwal, Abram Hindle, Eleni Stroulia |