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A Survey on In-context Learning

A Survey on In-context Learning

31 December 2022
Qingxiu Dong
Lei Li
Damai Dai
Ce Zheng
Jingyuan Ma
Rui Li
Heming Xia
Jingjing Xu
Zhiyong Wu
Baobao Chang
Xu Sun
Lei Li
Zhifang Sui
    ReLM
    AIMat
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Papers citing "A Survey on In-context Learning"

40 / 90 papers shown
Title
Adversarial Style Augmentation via Large Language Model for Robust Fake News Detection
Adversarial Style Augmentation via Large Language Model for Robust Fake News Detection
Sungwon Park
Sungwon Han
Xing Xie
Jae-Gil Lee
Meeyoung Cha
63
1
0
17 Jun 2024
Benchmark Data Contamination of Large Language Models: A Survey
Benchmark Data Contamination of Large Language Models: A Survey
Cheng Xu
Shuhao Guan
Derek Greene
Mohand-Tahar Kechadi
ELM
ALM
40
41
0
06 Jun 2024
Feature-Adaptive and Data-Scalable In-Context Learning
Feature-Adaptive and Data-Scalable In-Context Learning
Jiahao Li
Quan Wang
Li Zhang
Guoqing Jin
Zhendong Mao
73
2
0
17 May 2024
Language Models can Exploit Cross-Task In-context Learning for
  Data-Scarce Novel Tasks
Language Models can Exploit Cross-Task In-context Learning for Data-Scarce Novel Tasks
Anwoy Chatterjee
Eshaan Tanwar
Subhabrata Dutta
Tanmoy Chakraborty
LRM
40
7
0
17 May 2024
Large Language Models for Cyber Security: A Systematic Literature Review
Large Language Models for Cyber Security: A Systematic Literature Review
HanXiang Xu
Shenao Wang
Ningke Li
Kaidi Wang
Yanjie Zhao
Kai Chen
Ting Yu
Yang Liu
Haoyu Wang
42
29
0
08 May 2024
Large Language Models as Planning Domain Generators
Large Language Models as Planning Domain Generators
James Oswald
Kavitha Srinivas
Harsha Kokel
Junkyu Lee
Michael Katz
Shirin Sohrabi
45
1
0
02 Apr 2024
Self-Demos: Eliciting Out-of-Demonstration Generalizability in Large
  Language Models
Self-Demos: Eliciting Out-of-Demonstration Generalizability in Large Language Models
Wei He
Shichun Liu
Jun Zhao
Yiwen Ding
Yi Lu
Zhiheng Xi
Tao Gui
Qi Zhang
Xuanjing Huang
50
1
0
01 Apr 2024
Hallucination Detection in Foundation Models for Decision-Making: A Flexible Definition and Review of the State of the Art
Hallucination Detection in Foundation Models for Decision-Making: A Flexible Definition and Review of the State of the Art
Neeloy Chakraborty
Melkior Ornik
Katherine Driggs-Campbell
LRM
57
9
0
25 Mar 2024
Triad: A Framework Leveraging a Multi-Role LLM-based Agent to Solve
  Knowledge Base Question Answering
Triad: A Framework Leveraging a Multi-Role LLM-based Agent to Solve Knowledge Base Question Answering
Chang Zong
Yuchen Yan
Weiming Lu
Jian Shao
Eliot Huang
Heng Chang
Yueting Zhuang
LLMAG
45
8
0
22 Feb 2024
COBIAS: Assessing the Contextual Reliability of Bias Benchmarks for Language Models
COBIAS: Assessing the Contextual Reliability of Bias Benchmarks for Language Models
Priyanshul Govil
Hemang Jain
Vamshi Krishna Bonagiri
Aman Chadha
Ponnurangam Kumaraguru
Manas Gaur
Sanorita Dey
60
2
0
22 Feb 2024
GCOF: Self-iterative Text Generation for Copywriting Using Large
  Language Model
GCOF: Self-iterative Text Generation for Copywriting Using Large Language Model
Jianghui Zhou
Ya Gao
Jie Liu
Xuemin Zhao
Zhaohua Yang
Yue Wu
Lirong Shi
56
0
0
21 Feb 2024
FIPO: Free-form Instruction-oriented Prompt Optimization with Preference
  Dataset and Modular Fine-tuning Schema
FIPO: Free-form Instruction-oriented Prompt Optimization with Preference Dataset and Modular Fine-tuning Schema
Junru Lu
Siyu An
Min Zhang
Yulan He
Di Yin
Xing Sun
58
2
0
19 Feb 2024
Puzzle Solving using Reasoning of Large Language Models: A Survey
Puzzle Solving using Reasoning of Large Language Models: A Survey
Panagiotis Giadikiaroglou
Maria Lymperaiou
Giorgos Filandrianos
Giorgos Stamou
ELM
ReLM
LRM
29
27
0
17 Feb 2024
Exploring the Impact of Large Language Models on Recommender Systems: An
  Extensive Review
Exploring the Impact of Large Language Models on Recommender Systems: An Extensive Review
A. Vats
Vinija Jain
Rahul Raja
Aman Chadha
LRM
33
13
0
11 Feb 2024
Aligning Translation-Specific Understanding to General Understanding in
  Large Language Models
Aligning Translation-Specific Understanding to General Understanding in Large Language Models
Yi-Chong Huang
Xiaocheng Feng
Baohang Li
Chengpeng Fu
Wenshuai Huo
Ting Liu
Bing Qin
30
0
0
10 Jan 2024
Interpreting User Requests in the Context of Natural Language Standing
  Instructions
Interpreting User Requests in the Context of Natural Language Standing Instructions
Nikita Moghe
Patrick Xia
Jacob Andreas
J. Eisner
Benjamin Van Durme
Harsh Jhamtani
29
3
0
16 Nov 2023
More Samples or More Prompts? Exploring Effective In-Context Sampling
  for LLM Few-Shot Prompt Engineering
More Samples or More Prompts? Exploring Effective In-Context Sampling for LLM Few-Shot Prompt Engineering
Bingsheng Yao
Guiming Hardy Chen
Ruishi Zou
Yuxuan Lu
Jiachen Li
Shao Zhang
Yisi Sang
Sijia Liu
James A. Hendler
Dakuo Wang
50
13
0
16 Nov 2023
CycleAlign: Iterative Distillation from Black-box LLM to White-box
  Models for Better Human Alignment
CycleAlign: Iterative Distillation from Black-box LLM to White-box Models for Better Human Alignment
Jixiang Hong
Quan Tu
C. Chen
Xing Gao
Ji Zhang
Rui Yan
ALM
34
11
0
25 Oct 2023
GLoRE: Evaluating Logical Reasoning of Large Language Models
GLoRE: Evaluating Logical Reasoning of Large Language Models
Hanmeng Liu
Zhiyang Teng
Ruoxi Ning
Jian Liu
Qiji Zhou
Yuexin Zhang
Yue Zhang
ReLM
ELM
LRM
70
8
0
13 Oct 2023
A Confederacy of Models: a Comprehensive Evaluation of LLMs on Creative
  Writing
A Confederacy of Models: a Comprehensive Evaluation of LLMs on Creative Writing
Carlos Gómez-Rodríguez
Paul Williams
41
70
0
12 Oct 2023
Not All Demonstration Examples are Equally Beneficial: Reweighting
  Demonstration Examples for In-Context Learning
Not All Demonstration Examples are Equally Beneficial: Reweighting Demonstration Examples for In-Context Learning
Zhe Yang
Damai Dai
Peiyi Wang
Zhifang Sui
42
9
0
12 Oct 2023
On the (In)Effectiveness of Large Language Models for Chinese Text
  Correction
On the (In)Effectiveness of Large Language Models for Chinese Text Correction
Hai-Tao Zheng
Haojing Huang
Shirong Ma
Yong-jia Jiang
Yongqian Li
F. Zhou
Haitao Zheng
Qingyu Zhou
42
43
0
18 Jul 2023
Controllable Data Augmentation for Few-Shot Text Mining with
  Chain-of-Thought Attribute Manipulation
Controllable Data Augmentation for Few-Shot Text Mining with Chain-of-Thought Attribute Manipulation
Letian Peng
Yuwei Zhang
Jingbo Shang
LRM
34
7
0
14 Jul 2023
Pre-Training to Learn in Context
Pre-Training to Learn in Context
Yuxian Gu
Li Dong
Furu Wei
Minlie Huang
CLIP
LRM
ReLM
119
38
0
16 May 2023
GPT-RE: In-context Learning for Relation Extraction using Large Language
  Models
GPT-RE: In-context Learning for Relation Extraction using Large Language Models
Michele Focchi
Fei Cheng
Zhuoyuan Mao
Qianying Liu
Haiyue Song
Jiwei Li
Sadao Kurohashi
LRM
46
89
0
03 May 2023
In-Context Learning Unlocked for Diffusion Models
In-Context Learning Unlocked for Diffusion Models
Zhendong Wang
Yi Ding
Yadong Lu
Yelong Shen
Pengcheng He
Weizhu Chen
Zhangyang Wang
Mingyuan Zhou
VLM
DiffM
94
68
0
01 May 2023
On the Creativity of Large Language Models
On the Creativity of Large Language Models
Giorgio Franceschelli
Mirco Musolesi
74
54
0
27 Mar 2023
The Learnability of In-Context Learning
The Learnability of In-Context Learning
Noam Wies
Yoav Levine
Amnon Shashua
122
98
0
14 Mar 2023
Adaptive Machine Translation with Large Language Models
Adaptive Machine Translation with Large Language Models
Yasmin Moslem
Rejwanul Haque
John D. Kelleher
Andy Way
AI4CE
30
76
0
30 Jan 2023
Language Models are Multilingual Chain-of-Thought Reasoners
Language Models are Multilingual Chain-of-Thought Reasoners
Freda Shi
Mirac Suzgun
Markus Freitag
Xuezhi Wang
Suraj Srivats
...
Yi Tay
Sebastian Ruder
Denny Zhou
Dipanjan Das
Jason W. Wei
ReLM
LRM
174
337
0
06 Oct 2022
Language Models Are Greedy Reasoners: A Systematic Formal Analysis of
  Chain-of-Thought
Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought
Abulhair Saparov
He He
ELM
LRM
ReLM
123
285
0
03 Oct 2022
Complexity-Based Prompting for Multi-Step Reasoning
Complexity-Based Prompting for Multi-Step Reasoning
Yao Fu
Hao-Chun Peng
Ashish Sabharwal
Peter Clark
Tushar Khot
ReLM
LRM
164
415
0
03 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
252
476
0
24 Sep 2022
On the Relation between Sensitivity and Accuracy in In-context Learning
On the Relation between Sensitivity and Accuracy in In-context Learning
Yanda Chen
Chen Zhao
Zhou Yu
Kathleen McKeown
He He
182
77
0
16 Sep 2022
Instruction Induction: From Few Examples to Natural Language Task
  Descriptions
Instruction Induction: From Few Examples to Natural Language Task Descriptions
Or Honovich
Uri Shaham
Samuel R. Bowman
Omer Levy
ELM
LRM
120
137
0
22 May 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
450
8,699
0
28 Jan 2022
Meta-learning via Language Model In-context Tuning
Meta-learning via Language Model In-context Tuning
Yanda Chen
Ruiqi Zhong
Sheng Zha
George Karypis
He He
238
158
0
15 Oct 2021
Fantastically Ordered Prompts and Where to Find Them: Overcoming
  Few-Shot Prompt Order Sensitivity
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity
Yao Lu
Max Bartolo
Alastair Moore
Sebastian Riedel
Pontus Stenetorp
AILaw
LRM
281
1,124
0
18 Apr 2021
What Makes Good In-Context Examples for GPT-$3$?
What Makes Good In-Context Examples for GPT-333?
Jiachang Liu
Dinghan Shen
Yizhe Zhang
Bill Dolan
Lawrence Carin
Weizhu Chen
AAML
RALM
275
1,315
0
17 Jan 2021
Knowledge Enhanced Contextual Word Representations
Knowledge Enhanced Contextual Word Representations
Matthew E. Peters
Mark Neumann
IV RobertL.Logan
Roy Schwartz
Vidur Joshi
Sameer Singh
Noah A. Smith
234
656
0
09 Sep 2019
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