Agrawal, Monica

9 publications

CHIL 2025 How Does My Language Model Understand Clinical Text? Furong Jia, David Sontag, Monica Agrawal

ICML 2025 Position: Retrieval-Augmented Systems Can Be Dangerous Medical Communicators Lionel Wong, Ayman Ali, Raymond M Xiong, Zejiang Shen, Yoon Kim, Monica Agrawal

CHIL 2024 A Data-Centric Approach to Generate Faithful and High Quality Patient Summaries with Large Language Models Stefan Hegselmann, Zejiang Shen, Florian Gierse, Monica Agrawal, David Sontag, Xiaoyi Jiang

MLHC 2023 Conceptualizing Machine Learning for Dynamic Information Retrieval of Electronic Health Record Notes Sharon Jiang, Shannon Shen, Monica Agrawal, Barbara Lam, Nicholas Kurtzman, Steven Horng, David R. Karger, David Sontag

AISTATS 2023 TabLLM: Few-Shot Classification of Tabular Data with Large Language Models Stefan Hegselmann, Alejandro Buendia, Hunter Lang, Monica Agrawal, Xiaoyi Jiang, David Sontag

AISTATS 2021 PClean: Bayesian Data Cleaning at Scale with Domain-Specific Probabilistic Programming Alexander Lew, Monica Agrawal, David Sontag, Vikash Mansinghka

MLHC 2021 Directing Human Attention in Event Localization for Clinical Timeline Creation Jason Zhao, Monica Agrawal, Pedram Razavi, David Sontag

MLHC 2020 Fast, Structured Clinical Documentation via Contextual Autocomplete Divya Gopinath, Monica Agrawal, Luke Murray, Steven Horng, David Karger, David Sontag

MLHC 2020 Robust Benchmarking for Machine Learning of Clinical Entity Extraction Monica Agrawal, Chloe O’Connell, Yasmin Fatemi, Ariel Levy, David Sontag