John M. Pauly

RadAdapt: Radiology Report Summarization via Lightweight Domain Adaptation of Large Language Models

2023

Dave Van Veen, Cara Van Uden, Maayane Attias, Anuj Pareek, Christian Bluethgen, Malgorzata Polacin, Wah Chiu, Jean-Benoit Delbrouck, Juan Zambrano Chaves, Curtis Langlotz, Akshay Chaudhari, John Pauly. The 22nd Workshop on Biomedical Natural Language Processing …

Adapted Large Language Models Can Outperform Medical Experts in Clinical Text Summarization

2023 · arXiv (Cornell University)

Analyzing vast textual data and summarizing key information from electronic health records imposes a substantial burden on how clinicians allocate their time. Although large language models (LLMs) have shown promise in natural language processing (NLP), …

LTDA-Drive: LLMs-guided Generative Models based Long-tail Data Augmentation for Autonomous Driving

2025 · arXiv (Cornell University)

3D perception plays an essential role for improving the safety and performance of autonomous driving. Yet, existing models trained on real-world datasets, which naturally exhibit long-tail distributions, tend to underperform on rare and safety-critical, vulnerable …