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What In-Context Learning "Learns" In-Context: Disentangling Task
  Recognition and Task Learning

What In-Context Learning "Learns" In-Context: Disentangling Task Recognition and Task Learning

16 May 2023
Jane Pan
Tianyu Gao
Howard Chen
Danqi Chen
ArXivPDFHTML

Papers citing "What In-Context Learning "Learns" In-Context: Disentangling Task Recognition and Task Learning"

20 / 20 papers shown
Title
Retrieval Augmented Generation Evaluation for Health Documents
Retrieval Augmented Generation Evaluation for Health Documents
Mario Ceresa
Lorenzo Bertolini
Valentin Comte
Nicholas Spadaro
Barbara Raffael
...
Sergio Consoli
Amalia Muñoz Piñeiro
Alex Patak
Maddalena Querci
Tobias Wiesenthal
RALM
3DV
33
0
1
07 May 2025
ICL CIPHERS: Quantifying "Learning'' in In-Context Learning via Substitution Ciphers
ICL CIPHERS: Quantifying "Learning'' in In-Context Learning via Substitution Ciphers
Zhouxiang Fang
Aayush Mishra
Muhan Gao
Anqi Liu
Daniel Khashabi
44
0
0
28 Apr 2025
Enhancing Multimodal In-Context Learning for Image Classification through Coreset Optimization
Enhancing Multimodal In-Context Learning for Image Classification through Coreset Optimization
Huiyi Chen
Jiawei Peng
Kaihua Tang
Xin Geng
Xu Yang
22
0
0
19 Apr 2025
Advancing Multimodal In-Context Learning in Large Vision-Language Models with Task-aware Demonstrations
Advancing Multimodal In-Context Learning in Large Vision-Language Models with Task-aware Demonstrations
Yanshu Li
44
0
0
05 Mar 2025
In-Context Learning with Iterative Demonstration Selection
In-Context Learning with Iterative Demonstration Selection
Chengwei Qin
Aston Zhang
C. L. P. Chen
Anirudh Dagar
Wenming Ye
LRM
66
38
0
31 Dec 2024
Out-of-distribution generalization via composition: a lens through induction heads in Transformers
Out-of-distribution generalization via composition: a lens through induction heads in Transformers
Jiajun Song
Zhuoyan Xu
Yiqiao Zhong
78
4
0
31 Dec 2024
Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering
Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering
Yu Zhao
Alessio Devoto
Giwon Hong
Xiaotang Du
Aryo Pradipta Gema
Hongru Wang
Xuanli He
Kam-Fai Wong
Pasquale Minervini
KELM
LLMSV
32
16
0
21 Oct 2024
State-space models can learn in-context by gradient descent
State-space models can learn in-context by gradient descent
Neeraj Mohan Sushma
Yudou Tian
Harshvardhan Mestha
Nicolo Colombo
David Kappel
Anand Subramoney
35
3
0
15 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
83
19
0
15 Oct 2024
Wrong-of-Thought: An Integrated Reasoning Framework with
  Multi-Perspective Verification and Wrong Information
Wrong-of-Thought: An Integrated Reasoning Framework with Multi-Perspective Verification and Wrong Information
Yongheng Zhang
Qiguang Chen
Jingxuan Zhou
Peng Wang
Jiasheng Si
Jin Wang
Wenpeng Lu
Libo Qin
LRM
44
3
0
06 Oct 2024
How to Train Long-Context Language Models (Effectively)
How to Train Long-Context Language Models (Effectively)
Tianyu Gao
Alexander Wettig
Howard Yen
Danqi Chen
RALM
69
37
0
03 Oct 2024
HELMET: How to Evaluate Long-Context Language Models Effectively and Thoroughly
HELMET: How to Evaluate Long-Context Language Models Effectively and Thoroughly
Howard Yen
Tianyu Gao
Minmin Hou
Ke Ding
Daniel Fleischer
Peter Izsak
Moshe Wasserblat
Danqi Chen
ALM
ELM
56
25
0
03 Oct 2024
Breaking Agents: Compromising Autonomous LLM Agents Through Malfunction
  Amplification
Breaking Agents: Compromising Autonomous LLM Agents Through Malfunction Amplification
Boyang Zhang
Yicong Tan
Yun Shen
Ahmed Salem
Michael Backes
Savvas Zannettou
Yang Zhang
LLMAG
AAML
40
12
0
30 Jul 2024
In-Context Learning with Long-Context Models: An In-Depth Exploration
In-Context Learning with Long-Context Models: An In-Depth Exploration
Amanda Bertsch
Maor Ivgi
Uri Alon
Jonathan Berant
Matthew R. Gormley
Matthew R. Gormley
Graham Neubig
ReLM
AIMat
81
65
0
30 Apr 2024
Navigating the Landscape of Large Language Models: A Comprehensive
  Review and Analysis of Paradigms and Fine-Tuning Strategies
Navigating the Landscape of Large Language Models: A Comprehensive Review and Analysis of Paradigms and Fine-Tuning Strategies
Benjue Weng
LM&MA
30
7
0
13 Apr 2024
NoisyICL: A Little Noise in Model Parameters Calibrates In-context
  Learning
NoisyICL: A Little Noise in Model Parameters Calibrates In-context Learning
Yufeng Zhao
Yoshihiro Sakai
Naoya Inoue
18
3
0
08 Feb 2024
When does In-context Learning Fall Short and Why? A Study on
  Specification-Heavy Tasks
When does In-context Learning Fall Short and Why? A Study on Specification-Heavy Tasks
Hao Peng
Xiaozhi Wang
Jianhui Chen
Weikai Li
Y. Qi
...
Zhili Wu
Kaisheng Zeng
Bin Xu
Lei Hou
Juanzi Li
24
27
0
15 Nov 2023
In-Context Learning Learns Label Relationships but Is Not Conventional
  Learning
In-Context Learning Learns Label Relationships but Is Not Conventional Learning
Jannik Kossen
Y. Gal
Tom Rainforth
30
27
0
23 Jul 2023
Large Language Models as General Pattern Machines
Large Language Models as General Pattern Machines
Suvir Mirchandani
F. Xia
Peter R. Florence
Brian Ichter
Danny Driess
Montse Gonzalez Arenas
Kanishka Rao
Dorsa Sadigh
Andy Zeng
LLMAG
39
183
0
10 Jul 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
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