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In-Context Learning through the Bayesian Prism

In-Context Learning through the Bayesian Prism

8 June 2023
Madhuri Panwar
Kabir Ahuja
Navin Goyal
    BDL
ArXivPDFHTML

Papers citing "In-Context Learning through the Bayesian Prism"

9 / 9 papers shown
Title
Toward Understanding In-context vs. In-weight Learning
Toward Understanding In-context vs. In-weight Learning
Bryan Chan
Xinyi Chen
András Gyorgy
Dale Schuurmans
62
3
0
30 Oct 2024
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
From Words to Actions: Unveiling the Theoretical Underpinnings of
  LLM-Driven Autonomous Systems
From Words to Actions: Unveiling the Theoretical Underpinnings of LLM-Driven Autonomous Systems
Jianliang He
Siyu Chen
Fengzhuo Zhang
Zhuoran Yang
LM&Ro
LLMAG
38
2
0
30 May 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
The mechanistic basis of data dependence and abrupt learning in an
  in-context classification task
The mechanistic basis of data dependence and abrupt learning in an in-context classification task
Gautam Reddy
17
48
0
03 Dec 2023
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
Transformers generalize differently from information stored in context
  vs in weights
Transformers generalize differently from information stored in context vs in weights
Stephanie C. Y. Chan
Ishita Dasgupta
Junkyung Kim
D. Kumaran
Andrew Kyle Lampinen
Felix Hill
98
45
0
11 Oct 2022
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
Train Short, Test Long: Attention with Linear Biases Enables Input
  Length Extrapolation
Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation
Ofir Press
Noah A. Smith
M. Lewis
234
690
0
27 Aug 2021
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