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Monica Agrawal

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A Data-Centric Approach To Generate Faithful and High Quality Patient Summaries with Large Language Models

Feb 23, 2024
Stefan Hegselmann, Shannon Zejiang Shen, Florian Gierse, Monica Agrawal, David Sontag, Xiaoyi Jiang

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Impact of Large Language Model Assistance on Patients Reading Clinical Notes: A Mixed-Methods Study

Jan 17, 2024
Niklas Mannhardt, Elizabeth Bondi-Kelly, Barbara Lam, Chloe O'Connell, Mercy Asiedu, Hussein Mozannar, Monica Agrawal, Alejandro Buendia, Tatiana Urman, Irbaz B. Riaz, Catherine E. Ricciardi, Marzyeh Ghassemi, David Sontag

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Conceptualizing Machine Learning for Dynamic Information Retrieval of Electronic Health Record Notes

Aug 09, 2023
Sharon Jiang, Shannon Shen, Monica Agrawal, Barbara Lam, Nicholas Kurtzman, Steven Horng, David Karger, David Sontag

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Machine Learning for Health symposium 2022 -- Extended Abstract track

Nov 28, 2022
Antonio Parziale, Monica Agrawal, Shalmali Joshi, Irene Y. Chen, Shengpu Tang, Luis Oala, Adarsh Subbaswamy

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TabLLM: Few-shot Classification of Tabular Data with Large Language Models

Oct 19, 2022
Stefan Hegselmann, Alejandro Buendia, Hunter Lang, Monica Agrawal, Xiaoyi Jiang, David Sontag

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Large Language Models are Zero-Shot Clinical Information Extractors

May 25, 2022
Monica Agrawal, Stefan Hegselmann, Hunter Lang, Yoon Kim, David Sontag

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Co-training Improves Prompt-based Learning for Large Language Models

Feb 02, 2022
Hunter Lang, Monica Agrawal, Yoon Kim, David Sontag

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Leveraging Time Irreversibility with Order-Contrastive Pre-training

Nov 04, 2021
Monica Agrawal, Hunter Lang, Michael Offin, Lior Gazit, David Sontag

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PClean: Bayesian Data Cleaning at Scale with Domain-Specific Probabilistic Programming

Aug 07, 2020
Alexander K. Lew, Monica Agrawal, David Sontag, Vikash K. Mansinghka

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Robust Benchmarking for Machine Learning of Clinical Entity Extraction

Jul 31, 2020
Monica Agrawal, Chloe O'Connell, Yasmin Fatemi, Ariel Levy, David Sontag

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