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Which Examples to Annotate for In-Context Learning? Towards Effective
  and Efficient Selection

Which Examples to Annotate for In-Context Learning? Towards Effective and Efficient Selection

30 October 2023
Costas Mavromatis
Balasubramaniam Srinivasan
Zhengyuan Shen
Jiani Zhang
Huzefa Rangwala
Christos Faloutsos
George Karypis
ArXivPDFHTML

Papers citing "Which Examples to Annotate for In-Context Learning? Towards Effective and Efficient Selection"

26 / 26 papers shown
Title
Incomplete In-context Learning
Incomplete In-context Learning
Wenqiang Wang
Yangshijie Zhang
19
0
0
12 May 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
Hide and Seek in Noise Labels: Noise-Robust Collaborative Active Learning with LLM-Powered Assistance
Hide and Seek in Noise Labels: Noise-Robust Collaborative Active Learning with LLM-Powered Assistance
Bo Yuan
Yulin Chen
Yin Zhang
Wei Jiang
NoLa
30
5
0
03 Apr 2025
Implicit In-Context Learning: Evidence from Artificial Language Experiments
Implicit In-Context Learning: Evidence from Artificial Language Experiments
Xiaomeng Ma
Qihui Xu
ReLM
48
0
0
31 Mar 2025
When Debate Fails: Bias Reinforcement in Large Language Models
When Debate Fails: Bias Reinforcement in Large Language Models
Jihwan Oh
Minchan Jeong
Jongwoo Ko
Se-Young Yun
LLMAG
AI4CE
49
0
0
21 Mar 2025
MMRAG: Multi-Mode Retrieval-Augmented Generation with Large Language Models for Biomedical In-Context Learning
MMRAG: Multi-Mode Retrieval-Augmented Generation with Large Language Models for Biomedical In-Context Learning
Zaifu Zhan
J. Wang
Shuang Zhou
Jiawen Deng
Rui Zhang
34
4
0
21 Feb 2025
The Power of Adaptation: Boosting In-Context Learning through Adaptive
  Prompting
The Power of Adaptation: Boosting In-Context Learning through Adaptive Prompting
Shuzhang Cai
Twumasi Mensah-Boateng
Xander Kuksov
Jing Yuan
Shaojie Tang
31
0
0
23 Dec 2024
Revisiting In-Context Learning with Long Context Language Models
Revisiting In-Context Learning with Long Context Language Models
Jinheon Baek
Sun Jae Lee
Prakhar Gupta
Geunseob
Oh
Siddharth Dalmia
84
0
0
22 Dec 2024
Efficient In-Context Medical Segmentation with Meta-driven Visual Prompt
  Selection
Efficient In-Context Medical Segmentation with Meta-driven Visual Prompt Selection
Chenwei Wu
David Restrepo
Zitao Shuai
Zhongming Liu
Liyue Shen
VLM
27
1
0
15 Jul 2024
On the Noise Robustness of In-Context Learning for Text Generation
On the Noise Robustness of In-Context Learning for Text Generation
Hongfu Gao
Feipeng Zhang
Wenyu Jiang
Jun Shu
Feng Zheng
Hongxin Wei
48
1
0
27 May 2024
PICLe: Eliciting Diverse Behaviors from Large Language Models with
  Persona In-Context Learning
PICLe: Eliciting Diverse Behaviors from Large Language Models with Persona In-Context Learning
Hyeong Kyu Choi
Yixuan Li
59
17
0
03 May 2024
Bayesian Example Selection Improves In-Context Learning for Speech,
  Text, and Visual Modalities
Bayesian Example Selection Improves In-Context Learning for Speech, Text, and Visual Modalities
Siyin Wang
Chao-Han Huck Yang
Ji Wu
Chao Zhang
BDL
32
4
0
23 Apr 2024
Pack of LLMs: Model Fusion at Test-Time via Perplexity Optimization
Pack of LLMs: Model Fusion at Test-Time via Perplexity Optimization
Costas Mavromatis
Petros Karypis
George Karypis
MoMe
18
23
0
17 Apr 2024
Automate Knowledge Concept Tagging on Math Questions with LLMs
Automate Knowledge Concept Tagging on Math Questions with LLMs
Hang Li
Tianlong Xu
Jiliang Tang
Qingsong Wen
26
3
0
26 Mar 2024
On Sensitivity of Learning with Limited Labelled Data to the Effects of
  Randomness: Impact of Interactions and Systematic Choices
On Sensitivity of Learning with Limited Labelled Data to the Effects of Randomness: Impact of Interactions and Systematic Choices
Branislav Pecher
Ivan Srba
M. Bieliková
42
3
0
20 Feb 2024
Automatic Combination of Sample Selection Strategies for Few-Shot
  Learning
Automatic Combination of Sample Selection Strategies for Few-Shot Learning
Branislav Pecher
Ivan Srba
M. Bieliková
Joaquin Vanschoren
23
1
0
05 Feb 2024
Misconfidence-based Demonstration Selection for LLM In-Context Learning
Misconfidence-based Demonstration Selection for LLM In-Context Learning
Shangqing Xu
Chao Zhang
68
15
0
12 Jan 2024
Take One Step at a Time to Know Incremental Utility of Demonstration: An
  Analysis on Reranking for Few-Shot In-Context Learning
Take One Step at a Time to Know Incremental Utility of Demonstration: An Analysis on Reranking for Few-Shot In-Context Learning
Kazuma Hashimoto
K. Raman
Michael Bendersky
27
2
0
16 Nov 2023
$k$NN Prompting: Beyond-Context Learning with Calibration-Free Nearest
  Neighbor Inference
kkkNN Prompting: Beyond-Context Learning with Calibration-Free Nearest Neighbor Inference
Benfeng Xu
Quan Wang
Zhendong Mao
Yajuan Lyu
Qiaoqiao She
Yongdong Zhang
83
52
0
24 Mar 2023
A Survey on In-context Learning
A Survey on In-context Learning
Qingxiu Dong
Lei Li
Damai Dai
Ce Zheng
Jingyuan Ma
...
Zhiyong Wu
Baobao Chang
Xu Sun
Lei Li
Zhifang Sui
ReLM
AIMat
20
443
0
31 Dec 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
178
77
0
16 Sep 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
315
8,261
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
210
155
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
274
882
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
1,296
0
17 Jan 2021
Making Pre-trained Language Models Better Few-shot Learners
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
238
1,898
0
31 Dec 2020
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