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. 2212.10057
  4. Cited By
WeCheck: Strong Factual Consistency Checker via Weakly Supervised
  Learning

WeCheck: Strong Factual Consistency Checker via Weakly Supervised Learning

20 December 2022
Wenhao Wu
Wei Li
Xinyan Xiao
Jiachen Liu
Sujian Li
Yajuan Lv
    HILM
ArXivPDFHTML

Papers citing "WeCheck: Strong Factual Consistency Checker via Weakly Supervised Learning"

8 / 8 papers shown
Title
Grounded in Context: Retrieval-Based Method for Hallucination Detection
Grounded in Context: Retrieval-Based Method for Hallucination Detection
Assaf Gerner
Netta Madvil
Nadav Barak
Alex Zaikman
Jonatan Liberman
...
Yaron Friedman
Neal Harow
Noam Bresler
Shir Chorev
Philip Tannor
HILM
17
0
0
22 Apr 2025
Are LLMs Better than Reported? Detecting Label Errors and Mitigating
  Their Effect on Model Performance
Are LLMs Better than Reported? Detecting Label Errors and Mitigating Their Effect on Model Performance
Omer Nahum
Nitay Calderon
Orgad Keller
Idan Szpektor
Roi Reichart
21
1
0
24 Oct 2024
Assessment of Transformer-Based Encoder-Decoder Model for Human-Like
  Summarization
Assessment of Transformer-Based Encoder-Decoder Model for Human-Like Summarization
Sindhu Nair
Y. S. Rao
Radha Shankarmani
16
0
0
22 Oct 2024
TrueTeacher: Learning Factual Consistency Evaluation with Large Language
  Models
TrueTeacher: Learning Factual Consistency Evaluation with Large Language Models
Zorik Gekhman
Jonathan Herzig
Roee Aharoni
Chen Elkind
Idan Szpektor
HILM
ELM
19
70
0
18 May 2023
Precisely the Point: Adversarial Augmentations for Faithful and
  Informative Text Generation
Precisely the Point: Adversarial Augmentations for Faithful and Informative Text Generation
Wenhao Wu
Wei Li
Jiachen Liu
Xinyan Xiao
Sujian Li
Yajuan Lyu
16
3
0
22 Oct 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
215
305
0
27 Apr 2021
The GEM Benchmark: Natural Language Generation, its Evaluation and
  Metrics
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics
Sebastian Gehrmann
Tosin P. Adewumi
Karmanya Aggarwal
Pawan Sasanka Ammanamanchi
Aremu Anuoluwapo
...
Nishant Subramani
Wei-ping Xu
Diyi Yang
Akhila Yerukola
Jiawei Zhou
VLM
238
254
0
02 Feb 2021
Teaching Machines to Read and Comprehend
Teaching Machines to Read and Comprehend
Karl Moritz Hermann
Tomás Kociský
Edward Grefenstette
L. Espeholt
W. Kay
Mustafa Suleyman
Phil Blunsom
167
3,504
0
10 Jun 2015
1