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Probing the Decision Boundaries of In-context Learning in Large Language
  Models

Probing the Decision Boundaries of In-context Learning in Large Language Models

17 June 2024
Siyan Zhao
Tung Nguyen
Aditya Grover
ArXivPDFHTML

Papers citing "Probing the Decision Boundaries of In-context Learning in Large Language Models"

5 / 5 papers shown
Title
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
52
3
0
21 Feb 2025
Premise Order Matters in Reasoning with Large Language Models
Premise Order Matters in Reasoning with Large Language Models
Xinyun Chen
Ryan A. Chi
Xuezhi Wang
Denny Zhou
ReLM
LRM
33
26
0
14 Feb 2024
How Many Pretraining Tasks Are Needed for In-Context Learning of Linear
  Regression?
How Many Pretraining Tasks Are Needed for In-Context Learning of Linear Regression?
Jingfeng Wu
Difan Zou
Zixiang Chen
Vladimir Braverman
Quanquan Gu
Peter L. Bartlett
107
48
0
12 Oct 2023
The Learnability of In-Context Learning
The Learnability of In-Context Learning
Noam Wies
Yoav Levine
Amnon Shashua
108
89
0
14 Mar 2023
Scaling Laws for Neural Language Models
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
220
3,054
0
23 Jan 2020
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