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Shattering the Agent-Environment Interface for Fine-Tuning Inclusive
  Language Models

Shattering the Agent-Environment Interface for Fine-Tuning Inclusive Language Models

19 May 2023
Wanqiao Xu
Shi Dong
Dilip Arumugam
Benjamin Van Roy
ArXivPDFHTML

Papers citing "Shattering the Agent-Environment Interface for Fine-Tuning Inclusive Language Models"

5 / 5 papers shown
Title
A density estimation perspective on learning from pairwise human
  preferences
A density estimation perspective on learning from pairwise human preferences
Vincent Dumoulin
Daniel D. Johnson
Pablo Samuel Castro
Hugo Larochelle
Yann Dauphin
29
12
0
23 Nov 2023
Improving alignment of dialogue agents via targeted human judgements
Improving alignment of dialogue agents via targeted human judgements
Amelia Glaese
Nat McAleese
Maja Trkebacz
John Aslanides
Vlad Firoiu
...
John F. J. Mellor
Demis Hassabis
Koray Kavukcuoglu
Lisa Anne Hendricks
G. Irving
ALM
AAML
225
500
0
28 Sep 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
303
11,909
0
04 Mar 2022
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
275
1,587
0
18 Sep 2019
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
228
31,244
0
16 Jan 2013
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