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

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

Extracting clinical follow-ups from discharge summaries

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

Benchmarking observational studies with experimental data under right-censoring

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

Learning to Decode Collaboratively with Multiple Language Models

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

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

Google Scholar

David Sontag Skills & Research Interests

Machine Learning

Healthcare

Artificial Intelligence

Graphical Models

Approximate Inference

Top articles of David Sontag

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

arXiv preprint arXiv:2402.15422

2024/2/23

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

arXiv preprint arXiv:2401.09637

2024/1/17

Extracting clinical follow-ups from discharge summaries

2024/1/2

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

arXiv preprint arXiv:2404.15187

2024/4/23

Maia Jacobs
Maia Jacobs

H-Index: 9

David Sontag
David Sontag

H-Index: 38

Benchmarking observational studies with experimental data under right-censoring

2024/4/18

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

arXiv preprint arXiv:2404.02806

2024/4/3

Learning to Decode Collaboratively with Multiple Language Models

arXiv preprint arXiv:2403.03870

2024/3/6

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

arXiv preprint arXiv:2403.00177

2024/2/29

David Sontag
David Sontag

H-Index: 38

Who should predict? exact algorithms for learning to defer to humans

2023/4/11

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

2023/4/11

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

arXiv preprint arXiv:2304.02623

2023/4/5

Clinical Documentation System

2023/3/9

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

BMC medical research methodology

2023/12/7

David Sontag
David Sontag

H-Index: 38

A Deep Dive into Single-Cell RNA Sequencing Foundation Models

bioRxiv

2023

Effective Human-AI Teams via Learned Natural Language Rules and Onboarding

2023/12

Hussein Mozannar
Hussein Mozannar

H-Index: 4

David Sontag
David Sontag

H-Index: 38

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

2023/12/22

Monica Agrawal
Monica Agrawal

H-Index: 5

David Sontag
David Sontag

H-Index: 38

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

Blood

2023/11/28

Maia Jacobs
Maia Jacobs

H-Index: 9

David Sontag
David Sontag

H-Index: 38

Simulating Iterative Human-AI Interaction in Programming with LLMs

2023/11/26

Towards Verifiable Text Generation with Symbolic References

arXiv preprint arXiv:2311.09188

2023/11/15

Machine learning identifies clusters of longitudinal autoantibody profiles predictive of systemic lupus erythematosus disease outcomes

Annals of the rheumatic diseases

2023/7/1

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

Co-Authors

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