| 2025 | ACL | DeAL: Decoding-time Alignment for Large Language Models. | James Y. Huang, Sailik Sengupta, Daniele Bonadiman, Yi-An Lai, Arshit Gupta, Nikolaos Pappas, Saab Mansour, Katrin Kirchhoff, Dan Roth |
| 2025 | ICLR | SeRA: Self-Reviewing and Alignment of LLMs using Implicit Reward Margins. | Jongwoo Ko, Saket Dingliwal, Bhavana Ganesh, Sailik Sengupta, Sravan Babu Bodapati, Aram Galstyan |
| 2024 | AAAI | 'Why Didn't You Allocate This Task to Them?' Negotiation-Aware Task Allocation and Contrastive Explanation Generation. | Zahra Zahedi, Sailik Sengupta, Subbarao Kambhampati |
| 2024 | ACL | Can Your Model Tell a Negation from an Implicature? Unravelling Challenges With Intent Encoders. | Yuwei Zhang, Siffi Singh, Sailik Sengupta, Igor Shalyminov, Hang Su, Hwanjun Song, Saab Mansour |
| 2024 | NAACL | FLAP: Flow-Adhering Planning with Constrained Decoding in LLMs. | Shamik Roy, Sailik Sengupta, Daniele Bonadiman, Saab Mansour, Arshit Gupta |
| 2023 | EACL | Robustification of Multilingual Language Models to Real-world Noise in Crosslingual Zero-shot Settings with Robust Contrastive Pretraining. | Asa Cooper Stickland, Sailik Sengupta, Jason Krone, Saab Mansour, He He |
| 2023 | EMNLP | Measuring and Mitigating Constraint Violations of In-Context Learning for Utterance-to-API Semantic Parsing. | Shufan Wang, Sbastien Jean, Sailik Sengupta, James Gung, Nikolaos Pappas, Yi Zhang |
| 2021 | AAAI | RADAR-X: An Interactive Interface Pairing Contrastive Explanations with Revised Plan Suggestions. | Karthik Valmeekam, Sarath Sreedharan, Sailik Sengupta, Subbarao Kambhampati |
| 2018 | AAAI | MTDeep: Boosting the Security of Deep Neural Nets Against Adversarial Attacks with Moving Target Defense. | Sailik Sengupta, Tathagata Chakraborti, Subbarao Kambhampati |
| 2016 | SoCS | Compliant Conditions for Polynomial Time Approximation of Operator Counts. | Tathagata Chakraborti, Sarath Sreedharan, Sailik Sengupta, T. K. Satish Kumar, Subbarao Kambhampati |