| 2026 | EACL | ToolDreamer: Instilling LLM Reasoning Into Tool Retrievers. | Saptarshi Sengupta, Zhengyu Zhou, Jun Araki, Xingbo Wang, Bingqing Wang, Suhang Wang, Zhe Feng |
| 2025 | COLING | Exploring Language Model Generalization in Low-Resource Extractive QA. | Saptarshi Sengupta, Wenpeng Yin, Preslav Nakov, Shreya Ghosh, Suhang Wang |
| 2025 | COLING | TOP-Training: Target-Oriented Pretraining for Medical Extractive Question Answering. | Saptarshi Sengupta, Connor T. Heaton, Shreya Ghosh, Wenpeng Yin, Preslav Nakov, Suhang Wang |
| 2023 | AAAI | Can You Answer This? - Exploring Zero-Shot QA Generalization Capabilities in Large Language Models (Student Abstract). | Saptarshi Sengupta, Shreya Ghosh, Preslav Nakov, Prasenjit Mitra |
| 2023 | SmartComp | Large-scale End-of-Life Prediction of Hard Disks in Distributed Datacenters. | Rohan Mohapatra, Austin Coursey, Saptarshi Sengupta |
| 2019 | SmartComp | Mechanisms for Integrated Feature Normalization and Remaining Useful Life Estimation Using LSTMs Applied to Hard-Disks. | Sanchita Basak, Saptarshi Sengupta, Abhishek Dubey |