New Story
Human Preferences Help Scientists Train AI 30x Faster Than Before
by Language ModelsDecember 3rd, 2024
Too Long; Didn't Read
Table of Links
- Abstract and Introduction
- Related Work
- Problem Definition
- Method
- Experiments
- Conclusion and References
A. Appendix
A.1. Full Prompts and A.2 ICPL Details
A.6 Human-in-the-Loop Preference
c
Authors:
(1) Chao Yu, Tsinghua University;
(2) Hong Lu, Tsinghua University;
(3) Jiaxuan Gao, Tsinghua University;
(4) Qixin Tan, Tsinghua University;
(5) Xinting Yang, Tsinghua University;
(6) Yu Wang, with equal advising from Tsinghua University;
(7) Yi Wu, with equal advising from Tsinghua University and the Shanghai Qi Zhi Institute;
(8) Eugene Vinitsky, with equal advising from New York University ([email protected]).
This paper is available on arxiv under CC 4.0 license.
L O A D I N G
. . . comments & more!
. . . comments & more!
