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. 2407.06501
  4. Cited By
STORYSUMM: Evaluating Faithfulness in Story Summarization

STORYSUMM: Evaluating Faithfulness in Story Summarization

9 July 2024
Melanie Subbiah
Faisal Ladhak
Akankshya Mishra
Griffin Adams
Lydia B. Chilton
Kathleen McKeown
ArXivPDFHTML

Papers citing "STORYSUMM: Evaluating Faithfulness in Story Summarization"

5 / 5 papers shown
Title
A review of faithfulness metrics for hallucination assessment in Large Language Models
Ben Malin
Tatiana Kalganova
Nikoloas Boulgouris
HILM
51
2
0
03 Jan 2025
Can LLMs Produce Faithful Explanations For Fact-checking? Towards
  Faithful Explainable Fact-Checking via Multi-Agent Debate
Can LLMs Produce Faithful Explanations For Fact-checking? Towards Faithful Explainable Fact-Checking via Multi-Agent Debate
Kyungha Kim
Sangyun Lee
Kung-Hsiang Huang
Hou Pong Chan
Manling Li
Heng Ji
LRM
35
37
0
12 Feb 2024
Large Language Models are Zero-Shot Reasoners
Large Language Models are Zero-Shot Reasoners
Takeshi Kojima
S. Gu
Machel Reid
Yutaka Matsuo
Yusuke Iwasawa
ReLM
LRM
291
2,712
0
24 May 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
210
265
0
27 Apr 2021
GO FIGURE: A Meta Evaluation of Factuality in Summarization
GO FIGURE: A Meta Evaluation of Factuality in Summarization
Saadia Gabriel
Asli Celikyilmaz
Rahul Jha
Yejin Choi
Jianfeng Gao
HILM
216
96
0
24 Oct 2020
1