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

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2311.02271
  4. Cited By
FaMeSumm: Investigating and Improving Faithfulness of Medical
  Summarization
v1v2 (latest)

FaMeSumm: Investigating and Improving Faithfulness of Medical Summarization

3 November 2023
Nan Zhang
Yusen Zhang
Wu Guo
P. Mitra
Rui Zhang
    HILM
ArXiv (abs)PDFHTMLGithub (12★)

Papers citing "FaMeSumm: Investigating and Improving Faithfulness of Medical Summarization"

2 / 2 papers shown
Title
TracSum: A New Benchmark for Aspect-Based Summarization with Sentence-Level Traceability in Medical Domain
TracSum: A New Benchmark for Aspect-Based Summarization with Sentence-Level Traceability in Medical Domain
Bohao Chu
Meijie Li
Sameh Frihat
Chengyu Gu
Georg Lodde
Elisabeth Livingstone
Norbert Fuhr
HILM
40
0
0
19 Aug 2025
Pruning as a Domain-specific LLM Extractor
Pruning as a Domain-specific LLM Extractor
Nan Zhang
Yanchi Liu
Xujiang Zhao
Wei Cheng
Runxue Bao
Rui Zhang
Prasenjit Mitra
Haifeng Chen
85
16
0
10 May 2024
1