Yujuan Fu

According to our database, Yujuan Fu authored at least 13 papers between 2022 and 2024.

Collaborative distances:

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

2024

CACER: Clinical concept Annotations for Cancer Events and Relations.

Yujuan Fu, Giridhar Kaushik Ramachandran, Ahmad Halwani, Bridget T. McInnes, Fei Xia, Kevin Lybarger, Meliha Yetisgen, Özlem Uzuner

J. Am. Medical Informatics Assoc., 2024

Does Data Contamination Detection Work (Well) for LLMs? A Survey and Evaluation on Detection Assumptions.

Yujuan Fu, Özlem Uzuner, Meliha Yetisgen, Fei Xia

CoRR, 2024

BioMistral-NLU: Towards More Generalizable Medical Language Understanding through Instruction Tuning.

Yujuan Fu, Giridhar Kaushik Ramachandran, Namu Park, Kevin Lybarger, Fei Xia, Özlem Uzuner, Meliha Yetisgen

CoRR, 2024

DermaVQA: A Multilingual Visual Question Answering Dataset for Dermatology.

Wen-wai Yim, Yujuan Fu, Zhaoyi Sun, Asma Ben Abacha, Meliha Yetisgen, Fei Xia

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

To Err Is Human, How about Medical Large Language Models? Comparing Pre-trained Language Models for Medical Assessment Errors and Reliability.

Wen-wai Yim, Yujuan Fu, Asma Ben Abacha, Meliha Yetisgen

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Extracting Social Determinants of Health from Pediatric Patient Notes Using Large Language Models: Novel Corpus and Methods.

Yujuan Fu, Giridhar Kaushik Ramachandran, Nicholas J. Dobbins, Namu Park, Michael Leu, Abby R. Rosenberg, Kevin Lybarger, Fei Xia, Özlem Uzuner, Meliha Yetisgen

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Overview of the MEDIQA-MAGIC Task at ImageCLEF 2024: Multimodal And Generative TelemedICine in Dermatology.

Wen-wai Yim, Asma Ben Abacha, Yujuan Fu, Zhaoyi Sun, Meliha Yetisgen, Fei Xia

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), 2024

Overview of the ImageCLEF 2024: Multimedia Retrieval in Medical Applications.

Bogdan Ionescu, Henning Müller, Ana-Maria Dragulinescu, Johannes Rückert, Asma Ben Abacha, Alba García Seco de Herrera, Louise Bloch, Raphael Brüngel, Ahmad Idrissi-Yaghir, Henning Schäfer, Cynthia Sabrina Schmidt, Tabea Margareta Grace Pakull, Hendrik Damm, Benjamin Bracke, Christoph M. Friedrich, Alexandra-Georgiana Andrei, Yuri Prokopchuk, Dzmitry Karpenka, Ahmedkhan Radzhabov, Vassili Kovalev, Cécile Macaire, Didier Schwab, Benjamin Lecouteux, Emmanuelle Esperança-Rodier, Wen-wai Yim, Yujuan Fu, Zhaoyi Sun, Meliha Yetisgen, Fei Xia, Steven Alexander Hicks, Michael A. Riegler, Vajira Thambawita, Andrea M. Storås, Pål Halvorsen, Maximilian Heinrich, Johannes Kiesel, Martin Potthast, Benno Stein

Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2024

Overview of the MEDIQA-M3G 2024 Shared Task on Multilingual Multimodal Medical Answer Generation.

Wen-wai Yim, Asma Ben Abacha, Yujuan Fu, Zhaoyi Sun, Fei Xia, Meliha Yetisgen, Martin Krallinger

Proceedings of the 6th Clinical Natural Language Processing Workshop, 2024

Overview of the MEDIQA-CORR 2024 Shared Task on Medical Error Detection and Correction.

Asma Ben Abacha, Wen-wai Yim, Yujuan Fu, Zhaoyi Sun, Fei Xia, Meliha Yetisgen

Proceedings of the 6th Clinical Natural Language Processing Workshop, 2024

2023

ACI-BENCH: a Novel Ambient Clinical Intelligence Dataset for Benchmarking Automatic Visit Note Generation.

Wen-wai Yim, Yujuan Fu, Asma Ben Abacha, Neal Snider, Thomas Lin, Meliha Yetisgen

CoRR, 2023

Prompt-based Extraction of Social Determinants of Health Using Few-shot Learning.

Giridhar Kaushik Ramachandran, Yujuan Fu, Bin Han, Kevin Lybarger, Nicholas J. Dobbins, Özlem Uzuner, Meliha Yetisgen

Proceedings of the 5th Clinical Natural Language Processing Workshop, 2023

2022

Demonstrating an approach for evaluating synthetic geospatial and temporal epidemiologic data utility: results from analyzing >1.8 million SARS-CoV-2 tests in the United States National COVID Cohort Collaborative (N3C).

Jason A. Thomas, Randi E. Foraker, Noa Zamstein, Jon D. Morrow, Philip R. O. Payne, Adam B. Wilcox, Melissa A. Haendel, Christopher G. Chute, Kenneth R. Gersing, Anita Walden, Tellen D. Bennett, David A. Eichmann, Justin Guinney, Warren A. Kibbe, Hongfang Liu, Emily R. Pfaff, Peter N. Robinson, Joel H. Saltz, Heidi Spratt, Justin Starren, Christine Suver, Chunlei Wu, Davera Gabriel, Stephanie S. Hong, Kristin Kostka, Harold P. Lehmann, Richard A. Moffitt, Michele Morris, Matvey B. Palchuk, Xiaohan Tanner Zhang, Richard L. Zhu, Benjamin R. C. Amor, Mark M. Bissell, Marshall Clark, Andrew T. Girvin, Adam M. Lee, Robert T. Miller, Kellie M. Walters, Yooree Chae, Connor Cook, Alexandra Dest, Racquel R. Dietz, Thomas Dillon, Patricia A. Francis, Rafael Fuentes, Alexis Graves, Andrew J. Neumann, Shawn T. O'Neil, Usman Sheikh, Andréa M. Volz, Elizabeth Zampino, Christopher P. Austin, Samuel Bozzette, Mariam Deacy, Nicole Garbarini, Michael G. Kurilla, Sam G. Michael, Joni L. Rutter, Meredith Temple-O'Connor, Katie Rebecca Bradwell, Amin Manna, Nabeel Qureshi, Mary Morrison Saltz, Julie A. McMurry, Carolyn T. Bramante, Jeremy Richard Harper, Wenndy Hernandez, Farrukh M. Koraishy, Federico Mariona, Saidulu Mattapally, Amit Saha, Satyanarayana Vedula, Yujuan Fu, Nisha Mathews, Ofer Mendelevitch

J. Am. Medical Informatics Assoc., 2022