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Is Factuality Decoding a Free Lunch for LLMs? Evaluation on Knowledge
  Editing Benchmark

Is Factuality Decoding a Free Lunch for LLMs? Evaluation on Knowledge Editing Benchmark

30 March 2024
Baolong Bi
Shenghua Liu
Yiwei Wang
Lingrui Mei
Xueqi Cheng
    KELM
ArXivPDFHTML

Papers citing "Is Factuality Decoding a Free Lunch for LLMs? Evaluation on Knowledge Editing Benchmark"

5 / 5 papers shown
Title
Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via
  Self-Evaluation
Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-Evaluation
Xiaoying Zhang
Baolin Peng
Ye Tian
Jingyan Zhou
Lifeng Jin
Linfeng Song
Haitao Mi
Helen Meng
HILM
28
42
0
14 Feb 2024
Teaching language models to support answers with verified quotes
Teaching language models to support answers with verified quotes
Jacob Menick
Maja Trebacz
Vladimir Mikulik
John Aslanides
Francis Song
...
Mia Glaese
Susannah Young
Lucy Campbell-Gillingham
G. Irving
Nat McAleese
ELM
RALM
220
255
0
21 Mar 2022
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
301
11,730
0
04 Mar 2022
Language Models as Knowledge Bases?
Language Models as Knowledge Bases?
Fabio Petroni
Tim Rocktaschel
Patrick Lewis
A. Bakhtin
Yuxiang Wu
Alexander H. Miller
Sebastian Riedel
KELM
AI4MH
396
2,576
0
03 Sep 2019
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
716
6,724
0
26 Sep 2016
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