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How Well Can Transformers Emulate In-context Newton's Method?

How Well Can Transformers Emulate In-context Newton's Method?

5 March 2024
Angeliki Giannou
Liu Yang
Tianhao Wang
Dimitris Papailiopoulos
Jason D. Lee
ArXivPDFHTML

Papers citing "How Well Can Transformers Emulate In-context Newton's Method?"

14 / 14 papers shown
Title
Adversarially Pretrained Transformers may be Universally Robust In-Context Learners
Adversarially Pretrained Transformers may be Universally Robust In-Context Learners
Soichiro Kumano
Hiroshi Kera
Toshihiko Yamasaki
AAML
91
0
0
20 May 2025
Vector-ICL: In-context Learning with Continuous Vector Representations
Vector-ICL: In-context Learning with Continuous Vector Representations
Yufan Zhuang
Chandan Singh
Liyuan Liu
Jingbo Shang
Jianfeng Gao
114
6
0
21 Feb 2025
On the Training Convergence of Transformers for In-Context Classification of Gaussian Mixtures
On the Training Convergence of Transformers for In-Context Classification of Gaussian Mixtures
Wei Shen
Ruida Zhou
Jing Yang
Cong Shen
55
3
0
15 Oct 2024
Transformers Handle Endogeneity in In-Context Linear Regression
Transformers Handle Endogeneity in In-Context Linear Regression
Haodong Liang
Krishnakumar Balasubramanian
Lifeng Lai
73
1
0
02 Oct 2024
On Expressive Power of Looped Transformers: Theoretical Analysis and Enhancement via Timestep Encoding
On Expressive Power of Looped Transformers: Theoretical Analysis and Enhancement via Timestep Encoding
Kevin Xu
Issei Sato
79
4
0
02 Oct 2024
Transformers as Statisticians: Provable In-Context Learning with
  In-Context Algorithm Selection
Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection
Yu Bai
Fan Chen
Haiquan Wang
Caiming Xiong
Song Mei
44
191
0
07 Jun 2023
Transformers learn in-context by gradient descent
Transformers learn in-context by gradient descent
J. Oswald
Eyvind Niklasson
E. Randazzo
João Sacramento
A. Mordvintsev
A. Zhmoginov
Max Vladymyrov
MLT
91
487
0
15 Dec 2022
Teaching Algorithmic Reasoning via In-context Learning
Teaching Algorithmic Reasoning via In-context Learning
Hattie Zhou
Azade Nova
Hugo Larochelle
Rameswar Panda
Behnam Neyshabur
Hanie Sedghi
LRM
ReLM
62
114
0
15 Nov 2022
What Can Transformers Learn In-Context? A Case Study of Simple Function
  Classes
What Can Transformers Learn In-Context? A Case Study of Simple Function Classes
Shivam Garg
Dimitris Tsipras
Percy Liang
Gregory Valiant
116
504
0
01 Aug 2022
Language models show human-like content effects on reasoning tasks
Language models show human-like content effects on reasoning tasks
Ishita Dasgupta
Andrew Kyle Lampinen
Stephanie C. Y. Chan
Hannah R. Sheahan
Antonia Creswell
D. Kumaran
James L. McClelland
Felix Hill
ReLM
LRM
109
186
0
14 Jul 2022
Emergent Abilities of Large Language Models
Emergent Abilities of Large Language Models
Jason W. Wei
Yi Tay
Rishi Bommasani
Colin Raffel
Barret Zoph
...
Tatsunori Hashimoto
Oriol Vinyals
Percy Liang
J. Dean
W. Fedus
ELM
ReLM
LRM
263
2,462
0
15 Jun 2022
GPT-NeoX-20B: An Open-Source Autoregressive Language Model
GPT-NeoX-20B: An Open-Source Autoregressive Language Model
Sid Black
Stella Biderman
Eric Hallahan
Quentin G. Anthony
Leo Gao
...
Shivanshu Purohit
Laria Reynolds
J. Tow
Benqi Wang
Samuel Weinbach
157
825
0
14 Apr 2022
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
742
9,330
0
28 Jan 2022
Show Your Work: Scratchpads for Intermediate Computation with Language
  Models
Show Your Work: Scratchpads for Intermediate Computation with Language Models
Maxwell Nye
Anders Andreassen
Guy Gur-Ari
Henryk Michalewski
Jacob Austin
...
Aitor Lewkowycz
Maarten Bosma
D. Luan
Charles Sutton
Augustus Odena
ReLM
LRM
159
737
0
30 Nov 2021
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