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TrueTeacher: Learning Factual Consistency Evaluation with Large Language
  Models

TrueTeacher: Learning Factual Consistency Evaluation with Large Language Models

18 May 2023
Zorik Gekhman
Jonathan Herzig
Roee Aharoni
Chen Elkind
Idan Szpektor
    HILM
    ELM
ArXivPDFHTML

Papers citing "TrueTeacher: Learning Factual Consistency Evaluation with Large Language Models"

14 / 14 papers shown
Title
LLM-Rubric: A Multidimensional, Calibrated Approach to Automated Evaluation of Natural Language Texts
Helia Hashemi
J. Eisner
Corby Rosset
Benjamin Van Durme
Chris Kedzie
65
1
0
03 Jan 2025
On A Scale From 1 to 5: Quantifying Hallucination in Faithfulness Evaluation
On A Scale From 1 to 5: Quantifying Hallucination in Faithfulness Evaluation
Xiaonan Jing
Srinivas Billa
Danny Godbout
HILM
33
0
0
16 Oct 2024
FineSurE: Fine-grained Summarization Evaluation using LLMs
FineSurE: Fine-grained Summarization Evaluation using LLMs
Hwanjun Song
Hang Su
Igor Shalyminov
Jason (Jinglun) Cai
Saab Mansour
HILM
23
29
0
01 Jul 2024
Progressive Inference: Explaining Decoder-Only Sequence Classification
  Models Using Intermediate Predictions
Progressive Inference: Explaining Decoder-Only Sequence Classification Models Using Intermediate Predictions
Sanjay Kariyappa
Freddy Lecue
Saumitra Mishra
Christopher Pond
Daniele Magazzeni
Manuela Veloso
29
1
0
03 Jun 2024
A Comprehensive Survey on Process-Oriented Automatic Text Summarization with Exploration of LLM-Based Methods
A Comprehensive Survey on Process-Oriented Automatic Text Summarization with Exploration of LLM-Based Methods
Hanlei Jin
Yang Zhang
Dan Meng
Jun Wang
Jinghua Tan
65
79
0
05 Mar 2024
Foundation Metrics for Evaluating Effectiveness of Healthcare
  Conversations Powered by Generative AI
Foundation Metrics for Evaluating Effectiveness of Healthcare Conversations Powered by Generative AI
Mahyar Abbasian
Elahe Khatibi
Iman Azimi
David Oniani
Zahra Shakeri Hossein Abad
...
Bryant Lin
Olivier Gevaert
Li-Jia Li
Ramesh C. Jain
Amir M. Rahmani
LM&MA
ELM
AI4MH
23
63
0
21 Sep 2023
Distilling Step-by-Step! Outperforming Larger Language Models with Less
  Training Data and Smaller Model Sizes
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes
Lokesh Nagalapatti
Chun-Liang Li
Chih-Kuan Yeh
Hootan Nakhost
Yasuhisa Fujii
Alexander Ratner
Ranjay Krishna
Chen-Yu Lee
Tomas Pfister
ALM
204
498
0
03 May 2023
q2d: Turning Questions into Dialogs to Teach Models How to Search
q2d: Turning Questions into Dialogs to Teach Models How to Search
Yonatan Bitton
Shlomi Cohen-Ganor
Ido Hakimi
Yoad Lewenberg
Roee Aharoni
Enav Weinreb
44
4
0
27 Apr 2023
Can we trust the evaluation on ChatGPT?
Can we trust the evaluation on ChatGPT?
Rachith Aiyappa
Jisun An
Haewoon Kwak
Yong-Yeol Ahn
ELM
ALM
LLMAG
AI4MH
LRM
106
76
0
22 Mar 2023
Correcting Diverse Factual Errors in Abstractive Summarization via
  Post-Editing and Language Model Infilling
Correcting Diverse Factual Errors in Abstractive Summarization via Post-Editing and Language Model Infilling
Vidhisha Balachandran
Hannaneh Hajishirzi
William W. Cohen
Yulia Tsvetkov
HILM
KELM
79
45
0
22 Oct 2022
An Empirical Survey on Long Document Summarization: Datasets, Models and
  Metrics
An Empirical Survey on Long Document Summarization: Datasets, Models and Metrics
Huan Yee Koh
Jiaxin Ju
Ming Liu
Shirui Pan
73
120
0
03 Jul 2022
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
4,048
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
215
305
0
27 Apr 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
170
3,504
0
10 Jun 2015
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