ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2211.04486
  4. Cited By
Active Example Selection for In-Context Learning

Active Example Selection for In-Context Learning

8 November 2022
Yiming Zhang
Shi Feng
Chenhao Tan
    SILM
    LRM
ArXivPDFHTML

Papers citing "Active Example Selection for In-Context Learning"

35 / 135 papers shown
Title
LayoutLLM-T2I: Eliciting Layout Guidance from LLM for Text-to-Image
  Generation
LayoutLLM-T2I: Eliciting Layout Guidance from LLM for Text-to-Image Generation
Leigang Qu
Shengqiong Wu
Hao Fei
Liqiang Nie
Tat-Seng Chua
LM&Ro
DiffM
MLLM
32
88
0
09 Aug 2023
Investigating the Learning Behaviour of In-context Learning: A
  Comparison with Supervised Learning
Investigating the Learning Behaviour of In-context Learning: A Comparison with Supervised Learning
Xindi Wang
Yufei Wang
Can Xu
Xiubo Geng
Bowen Zhang
Chongyang Tao
Frank Rudzicz
Robert E. Mercer
Daxin Jiang
11
11
0
28 Jul 2023
Metric-Based In-context Learning: A Case Study in Text Simplification
Metric-Based In-context Learning: A Case Study in Text Simplification
Subhadra Vadlamannati
Gözde Gül Sahin
6
1
0
27 Jul 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
19
27
0
23 Jul 2023
SINC: Self-Supervised In-Context Learning for Vision-Language Tasks
SINC: Self-Supervised In-Context Learning for Vision-Language Tasks
Yi-Syuan Chen
Yun-Zhu Song
Cheng Yu Yeo
Bei Liu
Jianlong Fu
Hong-Han Shuai
VLM
LRM
16
4
0
15 Jul 2023
Learning to Retrieve In-Context Examples for Large Language Models
Learning to Retrieve In-Context Examples for Large Language Models
Liang Wang
Nan Yang
Furu Wei
RALM
22
38
0
14 Jul 2023
Query Understanding in the Age of Large Language Models
Query Understanding in the Age of Large Language Models
Avishek Anand
Venktesh V
Abhijit Anand
Vinay Setty
LRM
32
4
0
28 Jun 2023
Self-ICL: Zero-Shot In-Context Learning with Self-Generated
  Demonstrations
Self-ICL: Zero-Shot In-Context Learning with Self-Generated Demonstrations
Wei-Lin Chen
Cheng-Kuang Wu
Yun-Nung Chen
Hsin-Hsi Chen
8
27
0
24 May 2023
Improving Probability-based Prompt Selection Through Unified Evaluation
  and Analysis
Improving Probability-based Prompt Selection Through Unified Evaluation and Analysis
Sohee Yang
Jonghyeon Kim
Joel Jang
Seonghyeon Ye
Hyunji Lee
Minjoon Seo
17
7
0
24 May 2023
RetICL: Sequential Retrieval of In-Context Examples with Reinforcement
  Learning
RetICL: Sequential Retrieval of In-Context Examples with Reinforcement Learning
Alexander Scarlatos
Andrew S. Lan
OffRL
LRM
21
16
0
23 May 2023
Active Learning Principles for In-Context Learning with Large Language
  Models
Active Learning Principles for In-Context Learning with Large Language Models
Katerina Margatina
Timo Schick
Nikolaos Aletras
Jane Dwivedi-Yu
17
39
0
23 May 2023
Skill-Based Few-Shot Selection for In-Context Learning
Skill-Based Few-Shot Selection for In-Context Learning
Shengnan An
Bo Zhou
Zeqi Lin
Qiang Fu
B. Chen
Nanning Zheng
Weizhu Chen
Jian-Guang Lou
13
30
0
23 May 2023
On the Limitations of Simulating Active Learning
On the Limitations of Simulating Active Learning
Katerina Margatina
Nikolaos Aletras
21
11
0
21 May 2023
Enhancing Few-shot Text-to-SQL Capabilities of Large Language Models: A
  Study on Prompt Design Strategies
Enhancing Few-shot Text-to-SQL Capabilities of Large Language Models: A Study on Prompt Design Strategies
Linyong Nan
Yilun Zhao
Weijin Zou
Narutatsu Ri
Jaesung Tae
Ellen Zhang
Arman Cohan
Dragomir R. Radev
LMTD
12
45
0
21 May 2023
Small Models are Valuable Plug-ins for Large Language Models
Small Models are Valuable Plug-ins for Large Language Models
Canwen Xu
Yichong Xu
Shuohang Wang
Yang Liu
Chenguang Zhu
Julian McAuley
LLMAG
34
42
0
15 May 2023
How Do In-Context Examples Affect Compositional Generalization?
How Do In-Context Examples Affect Compositional Generalization?
Shengnan An
Zeqi Lin
Qiang Fu
B. Chen
Nanning Zheng
Jian-Guang Lou
Dongmei Zhang
13
49
0
08 May 2023
Unified Demonstration Retriever for In-Context Learning
Unified Demonstration Retriever for In-Context Learning
Xiaonan Li
Kai Lv
Hang Yan
Tianya Lin
Wei-wei Zhu
Yuan Ni
Guotong Xie
Xiaoling Wang
Xipeng Qiu
RALM
VPVLM
14
120
0
07 May 2023
Low-Resource Multi-Granularity Academic Function Recognition Based on
  Multiple Prompt Knowledge
Low-Resource Multi-Granularity Academic Function Recognition Based on Multiple Prompt Knowledge
Jiawei Liu
Ziteng Xiong
Yi-ping Jiang
Yongqiang Ma
Wei Lu
Yong Huang
Qikai Cheng
20
1
0
05 May 2023
Privacy-Preserving In-Context Learning for Large Language Models
Privacy-Preserving In-Context Learning for Large Language Models
Tong Wu
Ashwinee Panda
Jiachen T. Wang
Prateek Mittal
38
29
0
02 May 2023
ChatGPT Evaluation on Sentence Level Relations: A Focus on Temporal,
  Causal, and Discourse Relations
ChatGPT Evaluation on Sentence Level Relations: A Focus on Temporal, Causal, and Discourse Relations
Chunkit Chan
Cheng Jiayang
Weiqi Wang
Yuxin Jiang
Tianqing Fang
Xin Liu
Yangqiu Song
LRM
69
60
0
28 Apr 2023
Exploring Effective Factors for Improving Visual In-Context Learning
Exploring Effective Factors for Improving Visual In-Context Learning
Yanpeng Sun
Qiang Chen
Jian Wang
Jingdong Wang
Zechao Li
LRM
VLM
41
17
0
10 Apr 2023
Large Language Model Instruction Following: A Survey of Progresses and
  Challenges
Large Language Model Instruction Following: A Survey of Progresses and Challenges
Renze Lou
Kai Zhang
Wenpeng Yin
ALM
LRM
19
19
0
18 Mar 2023
Finding Support Examples for In-Context Learning
Finding Support Examples for In-Context Learning
Xiaonan Li
Xipeng Qiu
11
87
0
27 Feb 2023
Automatic Prompt Augmentation and Selection with Chain-of-Thought from
  Labeled Data
Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled Data
Kashun Shum
Shizhe Diao
Tong Zhang
ReLM
LRM
19
128
0
24 Feb 2023
Prompting Large Language Model for Machine Translation: A Case Study
Prompting Large Language Model for Machine Translation: A Case Study
Biao Zhang
Barry Haddow
Alexandra Birch
LRM
11
265
0
17 Jan 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
Data Curation Alone Can Stabilize In-context Learning
Data Curation Alone Can Stabilize In-context Learning
Ting-Yun Chang
Robin Jia
14
51
0
20 Dec 2022
A Survey of Active Learning for Natural Language Processing
A Survey of Active Learning for Natural Language Processing
Zhisong Zhang
Emma Strubell
Eduard H. Hovy
LM&MA
17
47
0
18 Oct 2022
What Makes Pre-trained Language Models Better Zero-shot Learners?
What Makes Pre-trained Language Models Better Zero-shot Learners?
Jinghui Lu
Dongsheng Zhu
Weidong Han
Rui Zhao
Brian Mac Namee
Fei Tan
34
21
0
30 Sep 2022
Large Language Models are Zero-Shot Reasoners
Large Language Models are Zero-Shot Reasoners
Takeshi Kojima
S. Gu
Machel Reid
Yutaka Matsuo
Yusuke Iwasawa
ReLM
LRM
291
2,712
0
24 May 2022
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer
Tu Vu
Brian Lester
Noah Constant
Rami Al-Rfou
Daniel Matthew Cer
VLM
LRM
131
276
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
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
278
3,784
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
241
1,898
0
31 Dec 2020
Previous
123