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First Tragedy, then Parse: History Repeats Itself in the New Era of
  Large Language Models

First Tragedy, then Parse: History Repeats Itself in the New Era of Large Language Models

8 November 2023
Naomi Saphra
Eve Fleisig
Kyunghyun Cho
Adam Lopez
    LRM
ArXivPDFHTML

Papers citing "First Tragedy, then Parse: History Repeats Itself in the New Era of Large Language Models"

6 / 6 papers shown
Title
Classist Tools: Social Class Correlates with Performance in NLP
Classist Tools: Social Class Correlates with Performance in NLP
Amanda Cercas Curry
Giuseppe Attanasio
Zeerak Talat
Dirk Hovy
38
4
0
07 Mar 2024
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
339
12,003
0
04 Mar 2022
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
264
4,489
0
23 Jan 2020
Fine-Tuning Language Models from Human Preferences
Fine-Tuning Language Models from Human Preferences
Daniel M. Ziegler
Nisan Stiennon
Jeff Wu
Tom B. Brown
Alec Radford
Dario Amodei
Paul Christiano
G. Irving
ALM
298
1,610
0
18 Sep 2019
Six Challenges for Neural Machine Translation
Six Challenges for Neural Machine Translation
Philipp Koehn
Rebecca Knowles
AAML
AIMat
224
1,208
0
12 Jun 2017
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
6,746
0
26 Sep 2016
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