| 2025 | COLING | Investigating the effectiveness of length based rewards in DPO for building Conversational Financial Question Answering Systems. | Anushka Yadav, Sai Krishna Rallabandi, Parag Pravin Dakle, Preethi Raghavan |
| 2024 | ACL | BlendSQL: A Scalable Dialect for Unifying Hybrid Question Answering in Relational Algebra. | Parker Glenn, Parag Dakle, Liang Wang, Preethi Raghavan |
| 2024 | EACL | Self-training Strategies for Sentiment Analysis: An Empirical Study. | Haochen Liu, SaiKrishna Rallabandi, Yijing Wu, Parag Dakle, Preethi Raghavan |
| 2023 | CPAIOR | Ner4Opt: Named Entity Recognition for Optimization Modelling from Natural Language. | Parag Pravin Dakle, Serdar Kadioglu, Karthik Uppuluri, Regina Politi, Preethi Raghavan, SaiKrishna Rallabandi, Ravisutha Srinivasamurthy |
| 2021 | AMIA | emrKBQA: Creating a Clinical Knowledge-Base Question Answering Dataset. | Rachita Chandra, Preethi Raghavan, Jennifer J. Liang, Diwakar Mahajan, Peter Szolovits |
| 2021 | AMIA | Reducing Physicians' Cognitive Load During Chart Review: A Problem-Oriented Summary of the Patient Electronic Record. | Jennifer J. Liang, Ching-Huei Tsou, Bharath Dandala, Ananya Poddar, Venkata Joopudi, Diwakar Mahajan, John M. Prager, Preethi Raghavan, Michele Payne |
| 2018 | EMNLP | emrQA: A Large Corpus for Question Answering on Electronic Medical Records. | Anusri Pampari, Preethi Raghavan, Jennifer J. Liang, Jian Peng |
| 2016 | ACL | Addressing Limited Data for Textual Entailment Across Domains. | Chaitanya P. Shivade, Preethi Raghavan, Siddharth Patwardhan |
| 2016 | AMIA | Watson Cognitive Computing for Electronic Medical Records. | Murthy V. Devarakonda, Neil Mehta, Christopher Nielson, Kenney Ng, Preethi Raghavan |
| 2014 | ACL | Cross-narrative Temporal Ordering of Medical Events. | Preethi Raghavan, Eric Fosler-Lussier, Noemie Elhadad, Albert M. Lai |
| 2012 | ACL | Learning to Temporally Order Medical Events in Clinical Text. | Preethi Raghavan, Albert M. Lai, Eric Fosler-Lussier |
| 2012 | AMIA | Inter-Annotator Reliability of Medical Events, Coreferences and Temporal Relations in Clinical Narratives by Annotators with Varying Levels of Clinical Expertise. | Preethi Raghavan, Eric Fosler-Lussier, Albert M. Lai |
| 2012 | NAACL | Exploring Semi-Supervised Coreference Resolution of Medical Concepts using Semantic and Temporal Features. | Preethi Raghavan, Eric Fosler-Lussier, Albert M. Lai |
| 2010 | CIKM | Leveraging natural language processing of clinical narratives for phenotype modeling. | Preethi Raghavan, Albert M. Lai |
| 2010 | COMAD | Extracting Problem and Resolution Information from Online Discussion Forums. | Preethi Raghavan, Rose Catherine, Shajith Ikbal, Nanda Kambhatla, Debapriyo Majumdar |
| 2009 | WETICE | A Framework for Improving Enterprise Services by Mining Customer Edge Data. | Preethi Raghavan, Jay Ramanathan, Rajiv Ramnath, Zhe Xu |
| 2008 | APSCC | Enterprise Interaction Ontology for Change Impact Analysis of Complex Systems. | Aman Kumar, Preethi Raghavan, Jay Ramanathan, Rajiv Ramnath |