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In-Context Learning with Representations: Contextual Generalization of
  Trained Transformers

In-Context Learning with Representations: Contextual Generalization of Trained Transformers

19 August 2024
Tong Yang
Yu Huang
Yingbin Liang
Yuejie Chi
    MLT
ArXivPDFHTML

Papers citing "In-Context Learning with Representations: Contextual Generalization of Trained Transformers"

5 / 5 papers shown
Title
How Transformers Learn Regular Language Recognition: A Theoretical Study on Training Dynamics and Implicit Bias
How Transformers Learn Regular Language Recognition: A Theoretical Study on Training Dynamics and Implicit Bias
Ruiquan Huang
Yingbin Liang
Jing Yang
46
0
0
02 May 2025
Faster WIND: Accelerating Iterative Best-of-$N$ Distillation for LLM Alignment
Faster WIND: Accelerating Iterative Best-of-NNN Distillation for LLM Alignment
Tong Yang
Jincheng Mei
H. Dai
Zixin Wen
Shicong Cen
Dale Schuurmans
Yuejie Chi
Bo Dai
36
4
0
20 Feb 2025
Transformers are Provably Optimal In-context Estimators for Wireless Communications
Transformers are Provably Optimal In-context Estimators for Wireless Communications
Vishnu Teja Kunde
Vicram Rajagopalan
Chandra Shekhara Kaushik Valmeekam
Krishna R. Narayanan
S. Shakkottai
D. Kalathil
J. Chamberland
29
4
0
01 Nov 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
240
453
0
24 Sep 2022
Linear Convergence of Gradient and Proximal-Gradient Methods Under the
  Polyak-Łojasiewicz Condition
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition
Hamed Karimi
J. Nutini
Mark W. Schmidt
119
1,190
0
16 Aug 2016
1