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Learning by Distilling Context

Learning by Distilling Context

30 September 2022
Charles Burton Snell
Dan Klein
Ruiqi Zhong
    ReLM
    LRM
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Papers citing "Learning by Distilling Context"

5 / 5 papers shown
Title
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
276
5,177
0
28 Jan 2022
Multitask Prompted Training Enables Zero-Shot Task Generalization
Multitask Prompted Training Enables Zero-Shot Task Generalization
Victor Sanh
Albert Webson
Colin Raffel
Stephen H. Bach
Lintang Sutawika
...
T. Bers
Stella Biderman
Leo Gao
Thomas Wolf
Alexander M. Rush
LRM
192
1,436
0
15 Oct 2021
Meta-learning via Language Model In-context Tuning
Meta-learning via Language Model In-context Tuning
Yanda Chen
Ruiqi Zhong
Sheng Zha
George Karypis
He He
189
125
0
15 Oct 2021
Towards Zero-Label Language Learning
Towards Zero-Label Language Learning
Zirui Wang
Adams Wei Yu
Orhan Firat
Yuan Cao
SyDa
157
93
0
19 Sep 2021
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
215
3,054
0
23 Jan 2020
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