| 2025 | ICLR | Generating CAD Code with Vision-Language Models for 3D Designs. | Kamel Alrashedy, Pradyumna Tambwekar, Zulfiqar Haider Zaidi, Megan Langwasser, Wei Xu, Matthew C. Gombolay |
| 2024 | HRI | Towards Balancing Preference and Performance through Adaptive Personalized Explainability. | Andrew Silva, Pradyumna Tambwekar, Mariah Schrum, Matthew C. Gombolay |
| 2023 | EACL | FedPerC: Federated Learning for Language Generation with Personal and Context Preference Embeddings. | Andrew Silva, Pradyumna Tambwekar, Matthew C. Gombolay |
| 2023 | EMNLP | A Computational Interface to Translate Strategic Intent from Unstructured Language in a Low-Data Setting. | Pradyumna Tambwekar, Lakshita Dodeja, Nathan Vaska, Wei Xu, Matthew C. Gombolay |
| 2021 | NAACL | Towards a Comprehensive Understanding and Accurate Evaluation of Societal Biases in Pre-Trained Transformers. | Andrew Silva, Pradyumna Tambwekar, Matthew C. Gombolay |
| 2019 | IJCAI | Controllable Neural Story Plot Generation via Reward Shaping. | Pradyumna Tambwekar, Murtaza Dhuliawala, Lara J. Martin, Animesh Mehta, Brent Harrison, Mark O. Riedl |
| 2019 | IUI | Automated rationale generation: a technique for explainable AI and its effects on human perceptions. | Upol Ehsan, Pradyumna Tambwekar, Larry Chan, Brent Harrison, Mark O. Riedl |