Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature. - Yu Wang 009; Jinchao Li; Tristan Naumann; Chenyan Xiong; Hao Cheng 002; Robert Tinn; Cliff Wong; Naoto Usuyama; Richard Rogahn; Zhihong Shen; Yang Qin; Eric Horvitz; et al. (KDD, 2021)

Towards Structuring Real-World Data at Scale: Deep Learning for Extracting Key Oncology Information from Clinical Text with Patient-Level Supervision. - Sam Preston; Mu Wei; Rajesh Rao; Robert Tinn; Naoto Usuyama; Michael Lucas; Roshanthi Weerasinghe; Soohee Lee; Brian Piening; Paul Tittel; Naveen Valluri; Tristan Naumann; et al. (CoRR, 2022)

Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing. - Yu Gu 017; Robert Tinn; Hao Cheng 002; Michael Lucas; Naoto Usuyama; Xiaodong Liu 003; Tristan Naumann; Jianfeng Gao 001; Hoifung Poon (ACM Trans. Comput. Heal., 2022)

Interactive Span Recommendation for Biomedical Text. - Louis Blankemeier; Theodore Zhao; Robert Tinn; Sid Kiblawi; Yu Gu 017; Akshay Chaudhari; Hoifung Poon; Sheng Zhang 012; Mu Wei; Joseph Preston (ClinicalNLP@ACL, 2023)

Efficient Diagnosis Assignment Using Unstructured Clinical Notes. - Louis Blankemeier; Jason A. Fries; Robert Tinn; Joseph Preston; Nigam Shah; Akshay Chaudhari (ACL (2), 2023)

Exploring the Boundaries of GPT-4 in Radiology. - Qianchu Liu; Stephanie L. Hyland; Shruthi Bannur; Kenza Bouzid; Daniel C. Castro; Maria Wetscherek; Robert Tinn; Harshita Sharma; Fernando Pérez-García; Anton Schwaighofer; Pranav Rajpurkar; Sameer Tajdin Khanna; et al. (EMNLP, 2023)

Large-Scale Domain-Specific Pretraining for Biomedical Vision-Language Processing. - Sheng Zhang 012; Yanbo Xu; Naoto Usuyama; Jaspreet Bagga; Robert Tinn; Sam Preston; Rajesh Rao; Mu Wei; Naveen Valluri; Cliff Wong; Matthew P. Lungren; Tristan Naumann; et al. (CoRR, 2023)

Toward structuring real-world data: Deep learning for extracting oncology information from clinical text with patient-level supervision. - Sam Preston; Mu Wei; Rajesh Rao; Robert Tinn; Naoto Usuyama; Michael Lucas; Yu Gu 017; Roshanthi Weerasinghe; Soohee Lee; Brian Piening; Paul Tittel; Naveen Valluri; et al. (Patterns, 2023)

Fine-tuning large neural language models for biomedical natural language processing. - Robert Tinn; Hao Cheng 002; Yu Gu 017; Naoto Usuyama; Xiaodong Liu 003; Tristan Naumann; Jianfeng Gao 001; Hoifung Poon (Patterns, 2023)