ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2305.17364
  4. Cited By
An Investigation of Evaluation Metrics for Automated Medical Note
  Generation

An Investigation of Evaluation Metrics for Automated Medical Note Generation

27 May 2023
Asma Ben Abacha
Wen-wai Yim
George Michalopoulos
Thomas Lin
ArXivPDFHTML

Papers citing "An Investigation of Evaluation Metrics for Automated Medical Note Generation"

5 / 5 papers shown
Title
PromptMind Team at MEDIQA-CORR 2024: Improving Clinical Text Correction
  with Error Categorization and LLM Ensembles
PromptMind Team at MEDIQA-CORR 2024: Improving Clinical Text Correction with Error Categorization and LLM Ensembles
Kesav Gundabathula
Sriram R Kolar
LRM
30
7
0
14 May 2024
CLIPSyntel: CLIP and LLM Synergy for Multimodal Question Summarization
  in Healthcare
CLIPSyntel: CLIP and LLM Synergy for Multimodal Question Summarization in Healthcare
Akash Ghosh
Arkadeep Acharya
Raghav Jain
Sriparna Saha
Aman Chadha
Setu Sinha
27
29
0
16 Dec 2023
Improving Summarization with Human Edits
Improving Summarization with Human Edits
Zonghai Yao
Benjamin J Schloss
Sai P. Selvaraj
26
3
0
09 Oct 2023
Extractive is not Faithful: An Investigation of Broad Unfaithfulness
  Problems in Extractive Summarization
Extractive is not Faithful: An Investigation of Broad Unfaithfulness Problems in Extractive Summarization
Shiyue Zhang
David Wan
Joey Tianyi Zhou
HILM
52
27
0
08 Sep 2022
Understanding Factuality in Abstractive Summarization with FRANK: A
  Benchmark for Factuality Metrics
Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics
Artidoro Pagnoni
Vidhisha Balachandran
Yulia Tsvetkov
HILM
231
306
0
27 Apr 2021
1