3 papers
cs.CL2026
MAPLE: Medical Aspect-Based Summarization with Phrase-Level Evidence
Bohao Chu, Sameh Frihat, Tabea M. G. Pakull +7
Trustworthy clinical summarization requires every claim to be traceable to its evidence, yet existing attribution often resolves only to the sentence or document, leaving clinician…
cs.CL2024
WisPerMed at "Discharge Me!": Advancing Text Generation in Healthcare with Large Language Models, Dynamic Expert Selection, and Priming Techniques on MIMIC-IV
Hendrik Damm, Tabea M. G. Pakull, Bahadır Eryılmaz +5
This study aims to leverage state of the art language models to automate generating the "Brief Hospital Course" and "Discharge Instructions" sections of Discharge Summaries from th…
cs.CL2024
WisPerMed at BioLaySumm: Adapting Autoregressive Large Language Models for Lay Summarization of Scientific Articles
Tabea M. G. Pakull, Hendrik Damm, Ahmad Idrissi-Yaghir +3
This paper details the efforts of the WisPerMed team in the BioLaySumm2024 Shared Task on automatic lay summarization in the biomedical domain, aimed at making scientific publicati…