| 2024 | ICLR | Leftover Lunch: Advantage-based Offline Reinforcement Learning for Language Models. | Ashutosh Baheti, Ximing Lu, Faeze Brahman, Ronan Le Bras, Maarten Sap, Mark O. Riedl |
| 2023 | EMNLP | NovaCOMET: Open Commonsense Foundation Models with Symbolic Knowledge Distillation. | Peter West, Ronan Le Bras, Taylor Sorensen, Bill Yuchen Lin, Liwei Jiang, Ximing Lu, Khyathi Raghavi Chandu, Jack Hessel, Ashutosh Baheti, Chandra Bhagavatula, Yejin Choi |
| 2022 | COLING | Extracting a Knowledge Base of COVID-19 Events from Social Media. | Shi Zong, Ashutosh Baheti, Wei Xu, Alan Ritter |
| 2022 | EMNLP | Stanceosaurus: Classifying Stance Towards Multicultural Misinformation. | Jonathan Zheng, Ashutosh Baheti, Tarek Naous, Wei Xu, Alan Ritter |
| 2021 | EMNLP | Just Say No: Analyzing the Stance of Neural Dialogue Generation in Offensive Contexts. | Ashutosh Baheti, Maarten Sap, Alan Ritter, Mark O. Riedl |
| 2020 | ACL | Fluent Response Generation for Conversational Question Answering. | Ashutosh Baheti, Alan Ritter, Kevin Small |
| 2018 | EMNLP | Generating More Interesting Responses in Neural Conversation Models with Distributional Constraints. | Ashutosh Baheti, Alan Ritter, Jiwei Li, Bill Dolan |
| 2017 | ISCC | Non-linear barrier coverage using mobile wireless sensors. | Ashutosh Baheti, Arobinda Gupta |