Jack Gallifant

According to our database, Jack Gallifant authored at least 20 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

KScope: A Framework for Characterizing the Knowledge Status of Language Models.

Yuxin Xiao, Shan Chen, Jack Gallifant, Danielle S. Bitterman, Thomas Hartvigsen, Marzyeh Ghassemi

CoRR, June, 2025

MedBrowseComp: Benchmarking Medical Deep Research and Computer Use.

Shan Chen, Pedro Moreira, Yuxin Xiao, Sam Schmidgall, Jeremy L. Warner, Hugo J. W. L. Aerts, Thomas Hartvigsen, Jack Gallifant, Danielle S. Bitterman

CoRR, May, 2025

Sparse Autoencoder Features for Classifications and Transferability.

Jack Gallifant, Shan Chen, Kuleen Sasse, Hugo J. W. L. Aerts, Thomas Hartvigsen, Danielle S. Bitterman

CoRR, February, 2025

Representation Learning of Lab Values via Masked AutoEncoder.

David S. Restrepo, Chenwei Wu, Yueran Jia, Jaden K. Sun, Jack Gallifant, Catherine G. Bielick, Yugang Jia, Leo A. Celi

CoRR, January, 2025

WorldMedQA-V: a multilingual, multimodal medical examination dataset for multimodal language models evaluation.

João Matos, Shan Chen, Siena Placino, Yingya Li, Juan Carlos Climent Pardo, Daphna Idan, Takeshi Tohyama, David S. Restrepo, Luis Filipe Nakayama, Jose M. M. Pascual-Leone, Guergana K. Savova, Hugo J. W. L. Aerts, Leo Anthony Celi, An-Kwok Ian Wong, Danielle S. Bitterman, Jack Gallifant

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

ACES: Automatic Cohort Extraction System for Event-Stream Datasets.

Justin Xu, Jack Gallifant, Alistair E. W. Johnson, Matthew B. A. McDermott

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Multi-OphthaLingua: A Multilingual Benchmark for Assessing and Debiasing LLM Ophthalmological QA in LMICs.

David S. Restrepo, Chenwei Wu, Zhengxu Tang, Zitao Shuai, Thao Nguyen Minh Phan, Jun-En Ding, Cong-Tinh Dao, Jack Gallifant, Robyn Gayle Dychiao, Jose Carlo Artiaga, André Hiroshi Bando, Carolina Pelegrini Barbosa Gracitelli, Vincenz Ferrer, Leo Anthony Celi, Danielle S. Bitterman, Michael G. Morley, Luis Filipe Nakayama

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Ethical debates amidst flawed healthcare artificial intelligence metrics.

Jack Gallifant, Danielle S. Bitterman, Leo Anthony Celi, Judy W. Gichoya, João Matos, Liam G. McCoy, Robin L. Pierce

npj Digit. Medicine, 2024

Participant flow diagrams for health equity in AI.

Jacob G. Ellen, João Matos, Martin Viola, Jack Gallifant, Justin Quion, Leo Anthony Celi, Nebal S. Abu Hussein

J. Biomed. Informatics, 2024

The use of large language models to enhance cancer clinical trial educational materials.

Mingye Gao, Aman Varshney, Shan Chen, Vikram Goddla, Jack Gallifant, Patrick Doyle, Claire Novack, Maeve Dillon-Martin, Teresia Perkins, Xinrong Correia, Erik P. Duhaime, Howard Isenstein, Elad Sharon, Lisa Soleymani Lehmann, David E. Kozono, Brian Anthony, Dmitriy Dligach, Danielle S. Bitterman

CoRR, 2024

Wait, but Tylenol is Acetaminophen... Investigating and Improving Language Models' Ability to Resist Requests for Misinformation.

Shan Chen, Mingye Gao, Kuleen Sasse, Thomas Hartvigsen, Brian Anthony, Lizhou Fan, Hugo J. W. L. Aerts, Jack Gallifant, Danielle S. Bitterman

CoRR, 2024

AIPatient: Simulating Patients with EHRs and LLM Powered Agentic Workflow.

Huizi Yu, Jiayan Zhou, Lingyao Li, Shan Chen, Jack Gallifant, Anye Shi, Xiang Li, Wenyue Hua, Mingyu Jin, Guang Chen, Yang Zhou, Zhao Li, Trisha Gupte, Ming-Li Chen, Zahra Azizi, Yongfeng Zhang, Themistocles L. Assimes, Xin Ma, Danielle S. Bitterman, Lin Lu, Lizhou Fan

CoRR, 2024

Analyzing Diversity in Healthcare LLM Research: A Scientometric Perspective.

David S. Restrepo, Chenwei Wu, Constanza Vásquez-Venegas, João Matos, Jack Gallifant, Luis Filipe

CoRR, 2024

Seeds of Stereotypes: A Large-Scale Textual Analysis of Race and Gender Associations with Diseases in Online Sources.

Lasse Hyldig Hansen, Nikolaj Andersen, Jack Gallifant, Liam G. McCoy, James K. Stone, Nura Izath, Marcela Aguirre-Jerez, Danielle S. Bitterman, Judy Gichoya, Leo Anthony Celi

CoRR, 2024

Improving Clinical NLP Performance through Language Model-Generated Synthetic Clinical Data.

Shan Chen, Jack Gallifant, Marco Guevara, Yanjun Gao, Majid Afshar, Timothy Miller, Dmitriy Dligach, Danielle S. Bitterman

CoRR, 2024

A Closer Look at AUROC and AUPRC under Class Imbalance.

Matthew B. A. McDermott, Haoran Zhang, Lasse Hyldig Hansen, Giovanni Angelotti, Jack Gallifant

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Cross-Care: Assessing the Healthcare Implications of Pre-training Data on Language Model Bias.

Shan Chen, Jack Gallifant, Mingye Gao, Pedro Moreira, Nikolaj Munch, Ajay Muthukkumar, Arvind Rajan, Jaya Kolluri, Amelia Fiske, Janna Hastings, Hugo J. W. L. Aerts, Brian Anthony, Leo Anthony Celi, William G. La Cava, Danielle S. Bitterman

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

EHRmonize: A Framework for Medical Concept Abstraction from Electronic Health Records using Large Language Models.

João Matos, Jack Gallifant, Jian Pei, An-Kwok Ian Wong

Proceedings of the Applications of Medical Artificial Intelligence, 2024

Seeing Beyond Borders: Evaluating LLMs in Multilingual Ophthalmological Question Answering.

David S. Restrepo, Luis Filipe Nakayama, Robyn Gayle Dychiao, Chenwei Wu, Liam G. McCoy, Jose Carlo Artiaga, Marisa Cobanaj, João Matos, Jack Gallifant, Danielle S. Bitterman, Vincenz Ferrer, Yindalon Aphinyanaphongs, Leo Anthony Celi

Proceedings of the 12th IEEE International Conference on Healthcare Informatics, 2024

Language Models are Surprisingly Fragile to Drug Names in Biomedical Benchmarks.

Jack Gallifant, Shan Chen, Pedro Moreira, Nikolaj Munch, Mingye Gao, Jackson Pond, Leo Anthony Celi, Hugo J. W. L. Aerts, Thomas Hartvigsen, Danielle S. Bitterman

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024