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Pretraining task diversity and the emergence of non-Bayesian in-context
  learning for regression

Pretraining task diversity and the emergence of non-Bayesian in-context learning for regression

26 June 2023
Allan Raventós
Mansheej Paul
F. Chen
Surya Ganguli
ArXivPDFHTML

Papers citing "Pretraining task diversity and the emergence of non-Bayesian in-context learning for regression"

16 / 16 papers shown
Title
On the generalization of language models from in-context learning and finetuning: a controlled study
On the generalization of language models from in-context learning and finetuning: a controlled study
Andrew Kyle Lampinen
Arslan Chaudhry
Stephanie Chan
Cody Wild
Diane Wan
Alex Ku
Jorg Bornschein
Razvan Pascanu
Murray Shanahan
James L. McClelland
46
0
0
01 May 2025
In-Context Learning with Hypothesis-Class Guidance
In-Context Learning with Hypothesis-Class Guidance
Ziqian Lin
Shubham Kumar Bharti
Kangwook Lee
69
0
0
27 Feb 2025
In-context learning and Occam's razor
In-context learning and Occam's razor
Eric Elmoznino
Tom Marty
Tejas Kasetty
Léo Gagnon
Sarthak Mittal
Mahan Fathi
Dhanya Sridhar
Guillaume Lajoie
32
1
0
17 Oct 2024
Context-Scaling versus Task-Scaling in In-Context Learning
Context-Scaling versus Task-Scaling in In-Context Learning
Amirhesam Abedsoltan
Adityanarayanan Radhakrishnan
Jingfeng Wu
M. Belkin
ReLM
LRM
32
3
0
16 Oct 2024
Bypassing the Exponential Dependency: Looped Transformers Efficiently Learn In-context by Multi-step Gradient Descent
Bypassing the Exponential Dependency: Looped Transformers Efficiently Learn In-context by Multi-step Gradient Descent
Bo Chen
Xiaoyu Li
Yingyu Liang
Zhenmei Shi
Zhao-quan Song
86
19
0
15 Oct 2024
In-context Learning in Presence of Spurious Correlations
In-context Learning in Presence of Spurious Correlations
Hrayr Harutyunyan
R. Darbinyan
Samvel Karapetyan
Hrant Khachatrian
LRM
40
1
0
04 Oct 2024
Spin glass model of in-context learning
Spin glass model of in-context learning
Yuhao Li
Ruoran Bai
Haiping Huang
LRM
42
0
0
05 Aug 2024
Towards Better Understanding of In-Context Learning Ability from
  In-Context Uncertainty Quantification
Towards Better Understanding of In-Context Learning Ability from In-Context Uncertainty Quantification
Shang Liu
Zhongze Cai
Guanting Chen
Xiaocheng Li
UQCV
38
1
0
24 May 2024
Asymptotic theory of in-context learning by linear attention
Asymptotic theory of in-context learning by linear attention
Yue M. Lu
Mary I. Letey
Jacob A. Zavatone-Veth
Anindita Maiti
C. Pehlevan
19
10
0
20 May 2024
Transformers as Decision Makers: Provable In-Context Reinforcement
  Learning via Supervised Pretraining
Transformers as Decision Makers: Provable In-Context Reinforcement Learning via Supervised Pretraining
Licong Lin
Yu Bai
Song Mei
OffRL
30
42
0
12 Oct 2023
A Benchmark for Learning to Translate a New Language from One Grammar
  Book
A Benchmark for Learning to Translate a New Language from One Grammar Book
Garrett Tanzer
Mirac Suzgun
Chenguang Xi
Dan Jurafsky
Luke Melas-Kyriazi
24
51
0
28 Sep 2023
In-context Learning and Induction Heads
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
242
458
0
24 Sep 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
306
11,909
0
04 Mar 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
211
1,656
0
15 Oct 2021
What Makes Good In-Context Examples for GPT-$3$?
What Makes Good In-Context Examples for GPT-333?
Jiachang Liu
Dinghan Shen
Yizhe Zhang
Bill Dolan
Lawrence Carin
Weizhu Chen
AAML
RALM
275
1,312
0
17 Jan 2021
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
Leo Gao
Stella Biderman
Sid Black
Laurence Golding
Travis Hoppe
...
Horace He
Anish Thite
Noa Nabeshima
Shawn Presser
Connor Leahy
AIMat
248
1,986
0
31 Dec 2020
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