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Cited By
Inverse Scaling: When Bigger Isn't Better
15 June 2023
I. R. McKenzie
Alexander Lyzhov
Michael Pieler
Alicia Parrish
Aaron Mueller
Ameya Prabhu
Euan McLean
Aaron Kirtland
Alexis Ross
Alisa Liu
Andrew Gritsevskiy
Daniel Wurgaft
Derik Kauffman
Gabriel Recchia
Jiacheng Liu
Joe Cavanagh
Max Weiss
Sicong Huang
The Floating Droid
Tom Tseng
Tomasz Korbak
Xudong Shen
Yuhui Zhang
Zhengping Zhou
Najoung Kim
Sam Bowman
Ethan Perez
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Papers citing
"Inverse Scaling: When Bigger Isn't Better"
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Title
In-context Learning and Induction Heads
Catherine Olsson
Nelson Elhage
Neel Nanda
Nicholas Joseph
Nova Dassarma
...
Tom B. Brown
Jack Clark
Jared Kaplan
Sam McCandlish
C. Olah
250
463
0
24 Sep 2022
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
369
12,003
0
04 Mar 2022
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
413
8,559
0
28 Jan 2022
BBQ: A Hand-Built Bias Benchmark for Question Answering
Alicia Parrish
Angelica Chen
Nikita Nangia
Vishakh Padmakumar
Jason Phang
Jana Thompson
Phu Mon Htut
Sam Bowman
223
374
0
15 Oct 2021
Identifying and Mitigating Spurious Correlations for Improving Robustness in NLP Models
Tianlu Wang
Rohit Sridhar
Diyi Yang
Xuezhi Wang
AAML
120
72
0
14 Oct 2021
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
264
4,505
0
23 Jan 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
299
6,984
0
20 Apr 2018
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