output
20142025
most citedBiomedGPT: A Generalist Vision-Language Foundation Model for Diverse Biomedical Tasks

260 citations

46 papers

cs.CL2025

Clinical Document Metadata Extraction: A Scoping Review

Kurt Miller, Qiuhao Lu, William Hersh +4

Clinical document metadata, such as document type, structure, author role, medical specialty, and encounter setting, is essential for accurate interpretation of information capture…

cs.CL2025

Cognitive bias in LLM reasoning compromises interpretation of clinical oncology notes

Matthew W. Kenaston, Umair Ayub, Mihir Parmar +14

Despite high performance on clinical benchmarks, large language models may reach correct conclusions through faulty reasoning, a failure mode with safety implications for oncology…

cs.CL2025

Hallucination reduction with CASAL: Contrastive Activation Steering For Amortized Learning

Wannan, Yang, Xinchi Qiu +6

Large Language Models (LLMs) exhibit impressive capabilities but often hallucinate, confidently providing incorrect answers instead of admitting ignorance. Prior work has shown tha…

cs.LG2025★ 1 cited

Leveraging Vulnerabilities in Temporal Graph Neural Networks via Strategic High-Impact Assaults

Dong Hyun Jeon, Lijing Zhu, Haifang Li +6

Temporal Graph Neural Networks (TGNNs) have become indispensable for analyzing dynamic graphs in critical applications such as social networks, communication systems, and financial…

q-bio.QM2025★ 1 cited

Rapid Development of Efficient Participant-Specific Computational Models of the Wrist

Thor E. Andreassen, Taylor P. Trentadue, Andrew R. Thoreson +3

While computational modeling may help to develop new treatment options for hand and wrist injuries, at present, few models exist. The time and expertise required to develop and use…

cs.CV2025★ 13 cited

MRI super-resolution reconstruction using efficient diffusion probabilistic model with residual shifting

Mojtaba Safari, Shansong Wang, Zach Eidex +4

Objective:This study introduces a residual error-shifting mechanism that drastically reduces sampling steps while preserving critical anatomical details, thus accelerating MRI reco…