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Aligners: Decoupling LLMs and Alignment

Aligners: Decoupling LLMs and Alignment

7 March 2024
Lilian Ngweta
Mayank Agarwal
Subha Maity
Alex Gittens
Yuekai Sun
Mikhail Yurochkin
ArXivPDFHTML

Papers citing "Aligners: Decoupling LLMs and Alignment"

4 / 4 papers shown
Title
Out-of-Distribution Detection using Synthetic Data Generation
Out-of-Distribution Detection using Synthetic Data Generation
Momin Abbas
Muneeza Azmat
R. Horesh
Mikhail Yurochkin
40
1
0
05 Feb 2025
Sparks of Artificial General Intelligence: Early experiments with GPT-4
Sparks of Artificial General Intelligence: Early experiments with GPT-4
Sébastien Bubeck
Varun Chandrasekaran
Ronen Eldan
J. Gehrke
Eric Horvitz
...
Scott M. Lundberg
Harsha Nori
Hamid Palangi
Marco Tulio Ribeiro
Yi Zhang
ELM
AI4MH
AI4CE
ALM
289
3,003
0
22 Mar 2023
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
313
11,915
0
04 Mar 2022
Understanding the Capabilities, Limitations, and Societal Impact of
  Large Language Models
Understanding the Capabilities, Limitations, and Societal Impact of Large Language Models
Alex Tamkin
Miles Brundage
Jack Clark
Deep Ganguli
AILaw
ELM
200
258
0
04 Feb 2021
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