| 2026 | EACL | Hearing Between the Lines: Unlocking the Reasoning Power of LLMs for Speech Evaluation. | Arjun Chandra, Kevin Miller, Venkatesh Ravichandran, Constantinos Papayiannis, Venkatesh Saligrama |
| 2025 | AAAI | Rewind and Render: Towards Factually Accurate Text-to-Video Generation with Distilled Knowledge Retrieval. | Daniel Lee, Arjun Chandra, Yang Zhou, Yunyao Li, Simone Conia |
| 2025 | ICCV | BabyVLM: Data-Efficient Pretraining of VLMs Inspired by Infant Learning. | Shengao Wang Boston University, Arjun Chandra, Aoming Liu, Venkatesh Saligrama, Boqing Gong |
| 2014 | IJCNN | A novel adaptive weight selection algorithm for multi-objective multi-agent reinforcement learning. | Kristof Van Moffaert, Tim Brys, Arjun Chandra, Lukas Esterle, Peter R. Lewis, Ann Now |
| 2013 | CEC | Exposing market mechanism design trade-offs via multi-objective evolutionary search. | Arjun Chandra, Richard Allmendinger, Peter R. Lewis, Xin Yao, Jim Trresen |
| 2013 | CEC | An ant learning algorithm for gesture recognition with one-instance training. | Sichao Song, Arjun Chandra, Jim Trresen |
| 2005 | ESANN | Evolutionary framework for the construction of diverse hybrid ensembles. | Arjun Chandra, Xin Yao |
| 2004 | IDEAL | DIVACE: Diverse and Accurate Ensemble Learning Algorithm. | Arjun Chandra, Xin Yao |