Evaluation of Large Language Models for Summarization Tasks in the Medical Domain: A Narrative Review

Emma Croxford, Yanjun Gao, Nicholas Pellegrino, Karen K. Wong, Graham Wills +5 more
9/26/2024
cs.CLcs.AI

No confident code implementation found for this paper. 3 possible matches can be shown below.

Abstract

Large Language Models have advanced clinical Natural Language Generation, creating opportunities to manage the volume of medical text. However, the high-stakes nature of medicine requires reliable evaluation, which remains a challenge. In this narrative review, we assess the current evaluation state for clinical summarization tasks and propose future directions to address the resource constraints of expert human evaluation.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. 3 weaker matches are hidden by default — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

Cite this paper

@article{croxford2024evaluation,
  title  = {Evaluation of Large Language Models for Summarization Tasks in the Medical Domain: A Narrative Review},
  author = {Emma Croxford and Yanjun Gao and Nicholas Pellegrino and Karen K. Wong and Graham Wills and Elliot First and Frank J. Liao and Cherodeep Goswami and Brian Patterson and Majid Afshar},
  year   = {2024},
  eprint = {2409.18170},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2409.18170v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2409.18170.svg)](https://codeofpaper.com/paper/2409.18170)

Discussion