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Learning to Generate Better Than Your LLM

Learning to Generate Better Than Your LLM

20 June 2023
Jonathan D. Chang
Kianté Brantley
Rajkumar Ramamurthy
Dipendra Kumar Misra
Wen Sun
ArXivPDFHTML

Papers citing "Learning to Generate Better Than Your LLM"

10 / 10 papers shown
Title
Regressing the Relative Future: Efficient Policy Optimization for Multi-turn RLHF
Regressing the Relative Future: Efficient Policy Optimization for Multi-turn RLHF
Zhaolin Gao
Wenhao Zhan
Jonathan D. Chang
Gokul Swamy
Kianté Brantley
Jason D. Lee
Wen Sun
OffRL
54
3
0
06 Oct 2024
A Minimaximalist Approach to Reinforcement Learning from Human Feedback
A Minimaximalist Approach to Reinforcement Learning from Human Feedback
Gokul Swamy
Christoph Dann
Rahul Kidambi
Zhiwei Steven Wu
Alekh Agarwal
OffRL
17
94
0
08 Jan 2024
RLCD: Reinforcement Learning from Contrastive Distillation for Language
  Model Alignment
RLCD: Reinforcement Learning from Contrastive Distillation for Language Model Alignment
Kevin Kaichuang Yang
Dan Klein
Asli Celikyilmaz
Nanyun Peng
Yuandong Tian
ALM
19
31
0
24 Jul 2023
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
203
2,232
0
22 Mar 2023
Defining and Characterizing Reward Hacking
Defining and Characterizing Reward Hacking
Joar Skalse
Nikolaus H. R. Howe
Dmitrii Krasheninnikov
David M. Krueger
57
53
0
27 Sep 2022
Offline RL for Natural Language Generation with Implicit Language Q
  Learning
Offline RL for Natural Language Generation with Implicit Language Q Learning
Charles Burton Snell
Ilya Kostrikov
Yi Su
Mengjiao Yang
Sergey Levine
OffRL
121
101
0
05 Jun 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
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
1,561
0
18 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
6,435
0
26 Sep 2016
Deep Reinforcement Learning for Dialogue Generation
Deep Reinforcement Learning for Dialogue Generation
Jiwei Li
Will Monroe
Alan Ritter
Michel Galley
Jianfeng Gao
Dan Jurafsky
192
1,325
0
05 Jun 2016
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