4 papers
eTracer: Towards Traceable Text Generation via Claim-Level Grounding
Bohao Chu, Qianli Wang, Hendrik Damm +5
How can system-generated responses be efficiently verified, especially in the high-stakes biomedical domain? To address this challenge, we introduce eTracer, a plug-and-play framew…
PCoA: A New Benchmark for Medical Aspect-Based Summarization With Phrase-Level Context Attribution
Bohao Chu, Sameh Frihat, Tabea M. G. Pakull +5
Verifying system-generated summaries remains challenging, as effective verification requires precise attribution to the source context, which is especially crucial in high-stakes m…
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…
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…