Search Results for author:
Found 2 papers, 0 papers with code
Towards Verifiable Text Generation with Symbolic References
LLMs are vulnerable to hallucinations, and thus their outputs generally require laborious human verification for high-stakes applications.
Conceptualizing Machine Learning for Dynamic Information Retrieval of Electronic Health Record Notes
The large amount of time clinicians spend sifting through patient notes and documenting in electronic health records (EHRs) is a leading cause of clinician burnout.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
