BCH-NLP at BioCreative VII Track 3: medications detection in tweets using transformer networks and multi-task learning. - Dongfang Xu; Shan Chen 004; Timothy Miller 002 (CoRR, 2021)

Measuring Pointwise mathcalV-Usable Information In-Context-ly. - Sheng Lu; Shan Chen 004; Yingya Li; Danielle S. Bitterman; Guergana Savova; Iryna Gurevych (EMNLP (Findings), 2023)

Natural language processing to automatically extract the presence and severity of esophagitis in notes of patients undergoing radiotherapy. - Shan Chen 004; Marco Guevara; Nicolas Ramirez; Arpi Murray; Jeremy L. Warner; Hugo J. W. L. Aerts; Timothy A. Miller; Guergana K. Savova; Raymond H. Mak; Danielle S. Bitterman (CoRR, 2023)

Evaluation of ChatGPT Family of Models for Biomedical Reasoning and Classification. - Shan Chen 004; Yingya Li; Sheng Lu; Hoang Van; Hugo J. W. L. Aerts; Guergana K. Savova; Danielle S. Bitterman (CoRR, 2023)

Large Language Models to Identify Social Determinants of Health in Electronic Health Records. - Marco Guevara; Shan Chen 004; Spencer Thomas; Tafadzwa L. Chaunzwa; Idalid Franco; Benjamin H. Kann; Shalini Moningi; Jack M. Qian; Madeleine Goldstein; Susan Harper; Hugo J. W. L. Aerts; Guergana K. Savova; et al. (CoRR, 2023)

Measuring Pointwise $ mathcal{V}$-Usable Information In-Context-ly. - Sheng Lu; Shan Chen 004; Yingya Li; Danielle S. Bitterman; Guergana Savova; Iryna Gurevych (CoRR, 2023)

The impact of using an AI chatbot to respond to patient messages. - Shan Chen 004; Marco Guevara; Shalini Moningi; Frank Hoebers; Hesham Elhalawani; Benjamin H. Kann; Fallon E. Chipidza; Jonathan Leeman; Hugo J. W. L. Aerts; Timothy A. Miller; Guergana K. Savova; Raymond H. Mak; et al. (CoRR, 2023)

Language Models are Surprisingly Fragile to Drug Names in Biomedical Benchmarks. - Jack Gallifant; Shan Chen 004; Pedro Moreira; Nikolaj Munch; Mingye Gao; Jackson Pond; Leo Anthony Celi; Hugo J. W. L. Aerts; Thomas Hartvigsen; Danielle S. Bitterman (EMNLP (Findings), 2024)

When Raw Data Prevails: Are Large Language Model Embeddings Effective in Numerical Data Representation for Medical Machine Learning Applications? - Yanjun Gao; Skatje Myers; Shan Chen 004; Dmitriy Dligach; Timothy A. Miller; Danielle S. Bitterman; Matthew M. Churpek; Majid Afshar (EMNLP (Findings), 2024)

Cross-Care: Assessing the Healthcare Implications of Pre-training Data on Language Model Bias. - Shan Chen 004; 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; et al. (NeurIPS, 2024)

Improving Clinical NLP Performance through Language Model-Generated Synthetic Clinical Data. - Shan Chen 004; Jack Gallifant; Marco Guevara; Yanjun Gao; Majid Afshar; Timothy Miller 002; Dmitriy Dligach; Danielle S. Bitterman (CoRR, 2024)

AIPatient: Simulating Patients with EHRs and LLM Powered Agentic Workflow. - Huizi Yu; Jiayan Zhou; Lingyao Li; Shan Chen 004; Jack Gallifant; Anye Shi; Xiang Li; Wenyue Hua; Mingyu Jin; Guang Chen; Yang Zhou; Zhao Li; et al. (CoRR, 2024)

Wait, but Tylenol is Acetaminophen... Investigating and Improving Language Models' Ability to Resist Requests for Misinformation. - Shan Chen 004; Mingye Gao; Kuleen Sasse; Thomas Hartvigsen; Brian Anthony; Lizhou Fan; Hugo J. W. L. Aerts; Jack Gallifant; Danielle S. Bitterman (CoRR, 2024)

Mapping Bias in Vision Language Models: Signposts, Pitfalls, and the Road Ahead. - Kuleen Sasse; Shan Chen 004; Jackson Pond; Danielle S. Bitterman; John D. Osborne (CoRR, 2024)

Position Paper On Diagnostic Uncertainty Estimation from Large Language Models: Next-Word Probability Is Not Pre-test Probability. - Yanjun Gao; Skatje Myers; Shan Chen 004; Dmitriy Dligach; Timothy A. Miller; Danielle S. Bitterman; Guanhua Chen; Anoop M. Mayampurath; Matthew M. Churpek; Majid Afshar (CoRR, 2024)

ClinicalBench: Can LLMs Beat Traditional ML Models in Clinical Prediction? - Canyu Chen; Jian Yu; Shan Chen 004; Che Liu; Zhongwei Wan; Danielle S. Bitterman; Fei Wang; Kai Shu (CoRR, 2024)

The use of large language models to enhance cancer clinical trial educational materials. - Mingye Gao; Aman Varshney; Shan Chen 004; Vikram Goddla; Jack Gallifant; Patrick Doyle; Claire Novack; Maeve Dillon-Martin; Teresia Perkins; Xinrong Correia; Erik P. Duhaime; Howard Isenstein; et al. (CoRR, 2024)

Evaluating the ChatGPT family of models for biomedical reasoning and classification. - Shan Chen 004; Yingya Li; Sheng Lu; Hoang Van; Hugo J. W. L. Aerts; Guergana K. Savova; Danielle S. Bitterman (J. Am. Medical Informatics Assoc., 2024)

Large language models to identify social determinants of health in electronic health records. - Marco Guevara; Shan Chen 004; Spencer Thomas; Tafadzwa L. Chaunzwa; Idalid Franco; Benjamin H. Kann; Shalini Moningi; Jack M. Qian; Madeleine Goldstein; Susan Harper; Hugo J. W. L. Aerts; Paul J. Catalano; et al. (npj Digit. Medicine, 2024)

WorldMedQA-V: a multilingual, multimodal medical examination dataset for multimodal language models evaluation. - João Matos; Shan Chen 004; 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; et al. (NAACL (Findings), 2025)

LCD benchmark: long clinical document benchmark on mortality prediction for language models. - Wonjin Yoon; Shan Chen 004; Yanjun Gao; Zhanzhan Zhao; Dmitriy Dligach; Danielle S. Bitterman; Majid Afshar; Timothy A. Miller (J. Am. Medical Informatics Assoc., 2025)

Sparse Autoencoder Features for Classifications and Transferability. - Jack Gallifant; Shan Chen 004; Kuleen Sasse; Hugo J. W. L. Aerts; Thomas Hartvigsen; Danielle S. Bitterman (CoRR, 2025)

Medical Hallucinations in Foundation Models and Their Impact on Healthcare. - Yubin Kim 002; Hyewon Jeong; Shan Chen 004; Shuyue Stella Li; Mingyu Lu; Kumail Alhamoud; Jimin Mun; Cristina Grau; Minseok Jung; Rodrigo Gameiro; Lizhou Fan; Eugene Park; et al. (CoRR, 2025)

MedBrowseComp: Benchmarking Medical Deep Research and Computer Use. - Shan Chen 004; Pedro Moreira; Yuxin Xiao; Sam Schmidgall; Jeremy L. Warner; Hugo J. W. L. Aerts; Thomas Hartvigsen; Jack Gallifant; Danielle S. Bitterman (CoRR, 2025)

KScope: A Framework for Characterizing the Knowledge Status of Language Models. - Yuxin Xiao; Shan Chen 004; Jack Gallifant; Danielle S. Bitterman; Thomas Hartvigsen; Marzyeh Ghassemi (CoRR, 2025)