David Sontag

David Sontag

Massachusetts Institute of Technology

H-index: 50

North America-United States

About David Sontag

David Sontag, With an exceptional h-index of 50 and a recent h-index of 41 (since 2020), a distinguished researcher at Massachusetts Institute of Technology, specializes in the field of Machine Learning, Healthcare, Artificial Intelligence, Graphical Models, Approximate Inference.

His recent articles reflect a diverse array of research interests and contributions to the field:

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

Learning to Decode Collaboratively with Multiple Language Models

Evaluating Physician-AI Interaction for Cancer Management: Paving the Path towards Precision Oncology

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

Benchmarking observational studies with experimental data under right-censoring

Non-Invasive Medical Digital Twins using Physics-Informed Self-Supervised Learning

The RealHumanEval: Evaluating Large Language Models' Abilities to Support Programmers

Extracting clinical follow-ups from discharge summaries

David Sontag Information

University

Position

Associate Professor

Citations(all)

17238

Citations(since 2020)

12145

Cited By

9830

hIndex(all)

50

hIndex(since 2020)

41

i10Index(all)

106

i10Index(since 2020)

94

Email

University Profile Page

Massachusetts Institute of Technology

Google Scholar

View Google Scholar Profile

David Sontag Skills & Research Interests

Machine Learning

Healthcare

Artificial Intelligence

Graphical Models

Approximate Inference

Top articles of David Sontag

Title

Journal

Author(s)

Publication Date

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

arXiv preprint arXiv:2402.15422

Stefan Hegselmann

Shannon Zejiang Shen

Florian Gierse

Monica Agrawal

David Sontag

...

2024/2/23

Learning to Decode Collaboratively with Multiple Language Models

arXiv preprint arXiv:2403.03870

Shannon Zejiang Shen

Hunter Lang

Bailin Wang

Yoon Kim

David Sontag

2024/3/6

Evaluating Physician-AI Interaction for Cancer Management: Paving the Path towards Precision Oncology

arXiv preprint arXiv:2404.15187

Zeshan Hussain

Barbara D Lam

Fernando A Acosta-Perez

Irbaz Bin Riaz

Maia Jacobs

...

2024/4/23

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

arXiv preprint arXiv:2401.09637

Niklas Mannhardt

Elizabeth Bondi-Kelly

Barbara Lam

Chloe O'Connell

Mercy Asiedu

...

2024/1/17

Benchmarking observational studies with experimental data under right-censoring

Ilker Demirel

Edward De Brouwer

Zeshan M Hussain

Michael Oberst

Anthony A Philippakis

...

2024/4/18

Non-Invasive Medical Digital Twins using Physics-Informed Self-Supervised Learning

arXiv preprint arXiv:2403.00177

Keying Kuang

Frances Dean

Jack B Jedlicki

David Ouyang

Anthony Philippakis

...

2024/2/29

The RealHumanEval: Evaluating Large Language Models' Abilities to Support Programmers

arXiv preprint arXiv:2404.02806

Hussein Mozannar

Valerie Chen

Mohammed Alsobay

Subhro Das

Sebastian Zhao

...

2024/4/3

Extracting clinical follow-ups from discharge summaries

2024/1/2

A Deep Dive into Single-Cell RNA Sequencing Foundation Models

bioRxiv

Rebecca Boiarsky

Nalini M Singh

Alejandro Buendia

Gad Getz

David Sontag

2023

Evaluating Physician-AI Interaction for Multiple Myeloma Management: Paving the Path Towards Precision Oncology

Blood

Barbara D Lam

Zeshan Hussain

Fernando A Acosta-Perez

Irbaz Bin Riaz

Maia Jacobs

...

2023/11/28

Tabllm: Few-shot classification of tabular data with large language models

Stefan Hegselmann

Alejandro Buendia

Hunter Lang

Monica Agrawal

Xiaoyi Jiang

...

2023/4/11

Conformalized unconditional quantile regression

Ahmed M Alaa

Zeshan Hussain

David Sontag

2023/4/11

Large-scale study of temporal shift in health insurance claims

Christina X Ji

Ahmed M Alaa

David Sontag

2023/6/13

Simulating Iterative Human-AI Interaction in Programming with LLMs

Hussein Mozannar

Valerie Chen

Dennis Wei

Prasanna Sattigeri

Manish Nagireddy

...

2023/11/26

Attention-based neural networks for clinical prediction modelling on electronic health records

BMC medical research methodology

Egill A Fridgeirsson

David Sontag

Peter Rijnbeek

2023/12/7

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

Sharon Jiang

Shannon Shen

Monica Agrawal

Barbara Lam

Nicholas Kurtzman

...

2023/12/22

Beyond summarization: Designing ai support for real-world expository writing tasks

arXiv preprint arXiv:2304.02623

Zejiang Shen

Tal August

Pao Siangliulue

Kyle Lo

Jonathan Bragg

...

2023/4/5

Falsification of internal and external validity in observational studies via conditional moment restrictions

Zeshan Hussain

Ming-Chieh Shih

Michael Oberst

Ilker Demirel

David Sontag

2023/4/11

Closing the Gap in High-Risk Pregnancy Care Using Machine Learning and Human-AI Collaboration

arXiv preprint arXiv:2305.17261

Hussein Mozannar

Yuria Utsumi

Irene Y Chen

Stephanie S Gervasi

Michele Ewing

...

2023/5/26

Towards Verifiable Text Generation with Symbolic References

arXiv preprint arXiv:2311.09188

Lucas Torroba Hennigen

Shannon Shen

Aniruddha Nrusimha

Bernhard Gapp

David Sontag

...

2023/11/15

See List of Professors in David Sontag University(Massachusetts Institute of Technology)

Co-Authors

H-index: 104
Tommi Jaakkola

Tommi Jaakkola

Massachusetts Institute of Technology

H-index: 90
Nathan Shapiro

Nathan Shapiro

Harvard University

H-index: 46
Amir Globerson

Amir Globerson

Tel Aviv University

H-index: 30
Uri Shalit

Uri Shalit

Technion - Israel Institute of Technology

H-index: 23
Narges Razavian

Narges Razavian

New York University

H-index: 19
Larry Nathanson

Larry Nathanson

Harvard University

academic-engine