| 2025 | ACL | LLM Agents for Coordinating Multi-User Information Gathering. | Harsh Jhamtani, Jacob Andreas, Benjamin Van Durme |
| 2025 | ICLR | Steering Large Language Models between Code Execution and Textual Reasoning. | Yongchao Chen, Harsh Jhamtani, Srinagesh Sharma, Chuchu Fan, Chi Wang |
| 2024 | EMNLP | Language-to-Code Translation with a Single Labeled Example. | Kaj Bostrom, Harsh Jhamtani, Hao Fang, Sam Thomson, Richard Shin, Patrick Xia, Benjamin Van Durme, Jason Eisner, Jacob Andreas |
| 2024 | EMNLP | Learning to Retrieve Iteratively for In-Context Learning. | Yunmo Chen, Tongfei Chen, Harsh Jhamtani, Patrick Xia, Richard Shin, Jason Eisner, Benjamin Van Durme |
| 2024 | EMNLP | Towards Robust Evaluation of Unlearning in LLMs via Data Transformations. | Abhinav Joshi, Shaswati Saha, Divyaksh Shukla, Sriram Vema, Harsh Jhamtani, Manas Gaur, Ashutosh Modi |
| 2024 | EMNLP | Ontologically Faithful Generation of Non-Player Character Dialogues. | Nathaniel Weir, Ryan Thomas, Randolph D'Amore, Kellie Hill, Benjamin Van Durme, Harsh Jhamtani |
| 2024 | IJCAI | Natural Language Decomposition and Interpretation of Complex Utterances. | Harsh Jhamtani, Hao Fang, Patrick Xia, Eran Levy, Jacob Andreas, Benjamin Van Durme |
| 2024 | NAACL | Interpreting User Requests in the Context of Natural Language Standing Instructions. | Nikita Moghe, Patrick Xia, Jacob Andreas, Jason Eisner, Benjamin Van Durme, Harsh Jhamtani |
| 2023 | ACL | The Whole Truth and Nothing But the Truth: Faithful and Controllable Dialogue Response Generation with Dataflow Transduction and Constrained Decoding. | Hao Fang, Anusha Balakrishnan, Harsh Jhamtani, John Bufe, Jean Crawford, Jayant Krishnamurthy, Adam Pauls, Jason Eisner, Jacob Andreas, Dan Klein |
| 2022 | ACL | Achieving Conversational Goals with Unsupervised Post-hoc Knowledge Injection. | Bodhisattwa Prasad Majumder, Harsh Jhamtani, Taylor Berg-Kirkpatrick, Julian J. McAuley |
| 2022 | COLING | PINEAPPLE: Personifying INanimate Entities by Acquiring Parallel Personification Data for Learning Enhanced Generation. | Sedrick Scott Keh, Kevin Lu, Varun Gangal, Steven Y. Feng, Harsh Jhamtani, Malihe Alikhani, Eduard H. Hovy |
| 2022 | NAACL | Target-Guided Dialogue Response Generation Using Commonsense and Data Augmentation. | Prakhar Gupta, Harsh Jhamtani, Jeffrey P. Bigham |
| 2021 | ACL | Improving Automated Evaluation of Open Domain Dialog via Diverse Reference Augmentation. | Varun Gangal, Harsh Jhamtani, Eduard H. Hovy, Taylor Berg-Kirkpatrick |
| 2021 | ACL | Unsupervised Enrichment of Persona-grounded Dialog with Background Stories. | Bodhisattwa Prasad Majumder, Taylor Berg-Kirkpatrick, Julian J. McAuley, Harsh Jhamtani |
| 2021 | EMNLP | Truth-Conditional Captions for Time Series Data. | Harsh Jhamtani, Taylor Berg-Kirkpatrick |
| 2021 | EMNLP | Investigating Robustness of Dialog Models to Popular Figurative Language Constructs. | Harsh Jhamtani, Varun Gangal, Eduard H. Hovy, Taylor Berg-Kirkpatrick |
| 2021 | INLG | Formulating Neural Sentence Ordering as the Asymmetric Traveling Salesman Problem. | Vishal Keswani, Harsh Jhamtani |
| 2020 | ECIR | Domain Adaptation via Context Prediction for Engineering Diagram Search. | Harsh Jhamtani, Taylor Berg-Kirkpatrick |
| 2020 | EMNLP | Narrative Text Generation with a Latent Discrete Plan. | Harsh Jhamtani, Taylor Berg-Kirkpatrick |
| 2020 | EMNLP | Learning to Explain: Datasets and Models for Identifying Valid Reasoning Chains in Multihop Question-Answering. | Harsh Jhamtani, Peter Clark |
| 2020 | EMNLP | Like hiking? You probably enjoy nature: Persona-grounded Dialog with Commonsense Expansions. | Bodhisattwa Prasad Majumder, Harsh Jhamtani, Taylor Berg-Kirkpatrick, Julian J. McAuley |
| 2019 | EMNLP | Learning Rhyming Constraints using Structured Adversaries. | Harsh Jhamtani, Sanket Vaibhav Mehta, Jaime G. Carbonell, Taylor Berg-Kirkpatrick |
| 2018 | AAAI | SPINE: SParse Interpretable Neural Embeddings. | Anant Subramanian, Danish Pruthi, Harsh Jhamtani, Taylor Berg-Kirkpatrick, Eduard H. Hovy |
| 2018 | ACL | Learning to Generate Move-by-Move Commentary for Chess Games from Large-Scale Social Forum Data. | Harsh Jhamtani, Varun Gangal, Eduard H. Hovy, Graham Neubig, Taylor Berg-Kirkpatrick |
| 2018 | EMNLP | Learning to Describe Differences Between Pairs of Similar Images. | Harsh Jhamtani, Taylor Berg-Kirkpatrick |
| 2017 | CICLING | Generating Appealing Brand Names. | Gaurush Hiranandani, Pranav Maneriker, Harsh Jhamtani |
| 2017 | ECIR | Leveraging Site Search Logs to Identify Missing Content on Enterprise Webpages. | Harsh Jhamtani, Rishiraj Saha Roy, Niyati Chhaya, Eric Nyberg |
| 2017 | EMNLP | Charmanteau: Character Embedding Models For Portmanteau Creation. | Varun Gangal, Harsh Jhamtani, Graham Neubig, Eduard H. Hovy, Eric Nyberg |
| 2016 | WISE | Generating Multiple Diverse Summaries. | Natwar Modani, Balaji Vasan Srinivasan, Harsh Jhamtani |
| 2014 | ICWSM | Identifying Purchase Intent from Social Posts. | Vineet Gupta, Devesh Varshney, Harsh Jhamtani, Deepam Kedia, Shweta Karwa |
| 2014 | PACLIC | Word-level Language Identification in Bi-lingual Code-switched Texts. | Harsh Jhamtani, Suleep Kumar Bhogi, Vaskar Raychoudhury |