| 2026 | ACL | MedRedFlag: Investigating how LLMs Redirect Misconceptions in Real-World Health Communication. | Sraavya Sambara, Yuan Pu, Ayman Ali, Vishala Mishra, Lionel Wong, Monica Agrawal |
| 2025 | EMNLP | "What's Up, Doc?": Analyzing How Users Seek Health Information in Large-Scale Conversational AI Datasets. | Akshay Paruchuri, Maryam Aziz, Rohit Vartak, Ayman Ali, Best Uchehara, Xin Liu, Ishan Chatterjee, Monica Agrawal |
| 2025 | ICML | Position: Retrieval-augmented systems can be dangerous medical communicators. | Lionel Wong, Ayman Ali, Raymond M. Xiong, Zejiang Shen, Yoon Kim, Monica Agrawal |
| 2023 | AISTATS | TabLLM: Few-shot Classification of Tabular Data with Large Language Models. | Stefan Hegselmann, Alejandro Buendia, Hunter Lang, Monica Agrawal, Xiaoyi Jiang, David A. Sontag |
| 2022 | EMNLP | Large language models are few-shot clinical information extractors. | Monica Agrawal, Stefan Hegselmann, Hunter Lang, Yoon Kim, David A. Sontag |
| 2021 | AISTATS | PClean: Bayesian Data Cleaning at Scale with Domain-Specific Probabilistic Programming. | Alexander K. Lew, Monica Agrawal, David A. Sontag, Vikash Mansinghka |
| 2021 | CHI | Assessing the Impact of Automated Suggestions on Decision Making: Domain Experts Mediate Model Errors but Take Less Initiative. | Ariel Levy, Monica Agrawal, Arvind Satyanarayan, David A. Sontag |
| 2021 | UIST | MedKnowts: Unified Documentation and Information Retrieval for Electronic Health Records. | Luke S. Murray, Divya Gopinath, Monica Agrawal, Steven Horng, David A. Sontag, David R. Karger |
| 2020 | PSB | Robustly Extracting Medical Knowledge from EHRs: A Case Study of Learning a Health KnowledgeGraph. | Irene Y. Chen, Monica Agrawal, Steven Horng, David A. Sontag |
| 2018 | PSB | Large-scale analysis of disease pathways in the human interactome. | Monica Agrawal, Marinka Zitnik, Jure Leskovec |