5 papers
Locally Sound, Globally Insufficient: The Local-Global Gap in Multi-Hop Reasoning
Bohao Chu, Hendrik Damm, Qianli Wang +4
Reliable multi-hop reasoning requires more than locally supported steps: a trace can be sound at every reasoning step yet still fail to answer the question as a whole. We call this…
eTracer: Polarity-Aware Evidence Grounding
Bohao Chu, Qianli Wang, Hendrik Damm +8
Evidence grounding makes generated content verifiable by linking statements to their sources. However, effective verifiability requires two properties that existing methods fail to…
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…
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…