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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"

38 / 38 papers shown
Title
Exploring the Role of Diversity in Example Selection for In-Context Learning
Exploring the Role of Diversity in Example Selection for In-Context Learning
Janak Kapuriya
Manit Kaushik
Debasis Ganguly
S. Bhatia
82
0
0
03 May 2025
ARISE: Iterative Rule Induction and Synthetic Data Generation for Text Classification
ARISE: Iterative Rule Induction and Synthetic Data Generation for Text Classification
Y. Meena
Vaibhav Singh
Ayush Maheshwari
Amrith Krishna
Ganesh Ramakrishnan
AI4TS
303
0
0
09 Feb 2025
In-Context Learning with Iterative Demonstration Selection
In-Context Learning with Iterative Demonstration Selection
Chengwei Qin
Aston Zhang
Chong Chen
Anirudh Dagar
Wenming Ye
LRM
103
46
0
31 Dec 2024
Leveraging Large Language Models for Active Merchant Non-player Characters
Leveraging Large Language Models for Active Merchant Non-player Characters
Byungjun Kim
Minju Kim
Dayeon Seo
Bugeun Kim
132
0
0
15 Dec 2024
GraphIC: A Graph-Based In-Context Example Retrieval Model for Multi-Step Reasoning
GraphIC: A Graph-Based In-Context Example Retrieval Model for Multi-Step Reasoning
Jiale Fu
Yaqing Wang
Simeng Han
Jiaming Fan
Chen Si
63
1
0
03 Oct 2024
Cropper: Vision-Language Model for Image Cropping through In-Context Learning
Cropper: Vision-Language Model for Image Cropping through In-Context Learning
Seung Hyun Lee
Junjie Ke
Yinxiao Li
Junfeng He
Steven Hickson
...
Irfan Essa
Sangpil Kim
Ming-Hsuan Yang
Irfan Essa
Feng Yang
VLM
68
0
0
14 Aug 2024
ActiveLLM: Large Language Model-based Active Learning for Textual Few-Shot Scenarios
ActiveLLM: Large Language Model-based Active Learning for Textual Few-Shot Scenarios
Markus Bayer
Justin Lutz
Christian A. Reuter
88
7
0
17 May 2024
Large Language Model Agent as a Mechanical Designer
Large Language Model Agent as a Mechanical Designer
Yayati Jadhav
A. Farimani
AI4CE
LLMAG
116
10
0
26 Apr 2024
Assistive Large Language Model Agents for Socially-Aware Negotiation Dialogues
Assistive Large Language Model Agents for Socially-Aware Negotiation Dialogues
Yuncheng Hua
Zhuang Li
Gholamreza Haffari
115
7
0
29 Jan 2024
Emergent Abilities of Large Language Models
Emergent Abilities of Large Language Models
Jason W. Wei
Yi Tay
Rishi Bommasani
Colin Raffel
Barret Zoph
...
Tatsunori Hashimoto
Oriol Vinyals
Percy Liang
J. Dean
W. Fedus
ELM
ReLM
LRM
166
2,428
0
15 Jun 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
401
4,077
0
24 May 2022
OPT: Open Pre-trained Transformer Language Models
OPT: Open Pre-trained Transformer Language Models
Susan Zhang
Stephen Roller
Naman Goyal
Mikel Artetxe
Moya Chen
...
Daniel Simig
Punit Singh Koura
Anjali Sridhar
Tianlu Wang
Luke Zettlemoyer
VLM
OSLM
AI4CE
266
3,583
0
02 May 2022
IDPG: An Instance-Dependent Prompt Generation Method
IDPG: An Instance-Dependent Prompt Generation Method
Zhuofeng Wu
Sinong Wang
Jiatao Gu
Rui Hou
Yuxiao Dong
V. Vydiswaran
Hao Ma
VLM
48
60
0
09 Apr 2022
A Survey on Offline Reinforcement Learning: Taxonomy, Review, and Open
  Problems
A Survey on Offline Reinforcement Learning: Taxonomy, Review, and Open Problems
Rafael Figueiredo Prudencio
Marcos R. O. A. Máximo
Esther Luna Colombini
OffRL
62
228
0
02 Mar 2022
Rethinking the Role of Demonstrations: What Makes In-Context Learning
  Work?
Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?
Sewon Min
Xinxi Lyu
Ari Holtzman
Mikel Artetxe
M. Lewis
Hannaneh Hajishirzi
Luke Zettlemoyer
LLMAG
LRM
101
1,438
0
25 Feb 2022
WebGPT: Browser-assisted question-answering with human feedback
WebGPT: Browser-assisted question-answering with human feedback
Reiichiro Nakano
Jacob Hilton
S. Balaji
Jeff Wu
Ouyang Long
...
Gretchen Krueger
Kevin Button
Matthew Knight
B. Chess
John Schulman
ALM
RALM
148
1,241
0
17 Dec 2021
Learning To Retrieve Prompts for In-Context Learning
Learning To Retrieve Prompts for In-Context Learning
Ohad Rubin
Jonathan Herzig
Jonathan Berant
VPVLM
RALM
36
679
0
16 Dec 2021
Scaling Language Models: Methods, Analysis & Insights from Training
  Gopher
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Jack W. Rae
Sebastian Borgeaud
Trevor Cai
Katie Millican
Jordan Hoffmann
...
Jeff Stanway
L. Bennett
Demis Hassabis
Koray Kavukcuoglu
G. Irving
35
1,303
0
08 Dec 2021
An Explanation of In-context Learning as Implicit Bayesian Inference
An Explanation of In-context Learning as Implicit Bayesian Inference
Sang Michael Xie
Aditi Raghunathan
Percy Liang
Tengyu Ma
ReLM
BDL
VPVLM
LRM
125
728
0
03 Nov 2021
The Dangers of Underclaiming: Reasons for Caution When Reporting How NLP
  Systems Fail
The Dangers of Underclaiming: Reasons for Caution When Reporting How NLP Systems Fail
Sam Bowman
OffRL
40
45
0
15 Oct 2021
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 Cer
VLM
LRM
164
282
0
15 Oct 2021
Reframing Instructional Prompts to GPTk's Language
Reframing Instructional Prompts to GPTk's Language
Swaroop Mishra
Daniel Khashabi
Chitta Baral
Yejin Choi
Hannaneh Hajishirzi
54
216
0
16 Sep 2021
True Few-Shot Learning with Language Models
True Few-Shot Learning with Language Models
Ethan Perez
Douwe Kiela
Kyunghyun Cho
75
431
0
24 May 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
312
1,152
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
426
3,952
0
18 Apr 2021
Surface Form Competition: Why the Highest Probability Answer Isn't
  Always Right
Surface Form Competition: Why the Highest Probability Answer Isn't Always Right
Ari Holtzman
Peter West
Vered Schwartz
Yejin Choi
Luke Zettlemoyer
LRM
42
234
0
16 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
324
1,343
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
315
1,950
0
31 Dec 2020
Conservative Q-Learning for Offline Reinforcement Learning
Conservative Q-Learning for Offline Reinforcement Learning
Aviral Kumar
Aurick Zhou
George Tucker
Sergey Levine
OffRL
OnRL
82
1,780
0
08 Jun 2020
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
383
41,106
0
28 May 2020
Exploring the Limits of Transfer Learning with a Unified Text-to-Text
  Transformer
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Colin Raffel
Noam M. Shazeer
Adam Roberts
Katherine Lee
Sharan Narang
Michael Matena
Yanqi Zhou
Wei Li
Peter J. Liu
AIMat
206
19,824
0
23 Oct 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Yinhan Liu
Myle Ott
Naman Goyal
Jingfei Du
Mandar Joshi
Danqi Chen
Omer Levy
M. Lewis
Luke Zettlemoyer
Veselin Stoyanov
AIMat
348
24,160
0
26 Jul 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
808
93,936
0
11 Oct 2018
Rainbow: Combining Improvements in Deep Reinforcement Learning
Rainbow: Combining Improvements in Deep Reinforcement Learning
Matteo Hessel
Joseph Modayil
H. V. Hasselt
Tom Schaul
Georg Ostrovski
Will Dabney
Dan Horgan
Bilal Piot
M. G. Azar
David Silver
OffRL
87
2,255
0
06 Oct 2017
Learning how to Active Learn: A Deep Reinforcement Learning Approach
Learning how to Active Learn: A Deep Reinforcement Learning Approach
Meng Fang
Yuan Li
Trevor Cohn
30
284
0
08 Aug 2017
Curiosity-driven Exploration by Self-supervised Prediction
Curiosity-driven Exploration by Self-supervised Prediction
Deepak Pathak
Pulkit Agrawal
Alexei A. Efros
Trevor Darrell
LRM
SSL
91
2,416
0
15 May 2017
Character-level Convolutional Networks for Text Classification
Character-level Convolutional Networks for Text Classification
Xiang Zhang
Jiaqi Zhao
Yann LeCun
165
6,046
0
04 Sep 2015
Playing Atari with Deep Reinforcement Learning
Playing Atari with Deep Reinforcement Learning
Volodymyr Mnih
Koray Kavukcuoglu
David Silver
Alex Graves
Ioannis Antonoglou
Daan Wierstra
Martin Riedmiller
73
12,163
0
19 Dec 2013
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