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Revisiting Uncertainty-based Query Strategies for Active Learning with
  Transformers
v1v2 (latest)

Revisiting Uncertainty-based Query Strategies for Active Learning with Transformers

12 July 2021
Christopher Schröder
A. Niekler
Martin Potthast
ArXiv (abs)PDFHTML

Papers citing "Revisiting Uncertainty-based Query Strategies for Active Learning with Transformers"

49 / 49 papers shown
Title
Survey of Active Learning Hyperparameters: Insights from a Large-Scale Experimental Grid
Survey of Active Learning Hyperparameters: Insights from a Large-Scale Experimental Grid
Julius Gonsior
Tim Rieß
Anja Reusch
Claudio Hartmann
Maik Thiele
Wolfgang Lehner
98
0
0
04 Jun 2025
No Free Lunch in Active Learning: LLM Embedding Quality Dictates Query Strategy Success
No Free Lunch in Active Learning: LLM Embedding Quality Dictates Query Strategy Success
Lukas Rauch
Moritz Wirth
Denis Huseljic
M. Herde
Bernhard Sick
Yi Men
24
0
0
18 May 2025
Your Model is Overconfident, and Other Lies We Tell Ourselves
Timothee Mickus
Aman Sinha
Raúl Vázquez
80
0
0
03 Mar 2025
DUAL: Diversity and Uncertainty Active Learning for Text Summarization
Petros Stylianos Giouroukis
Alexios Gidiotis
Grigorios Tsoumakas
70
1
0
02 Mar 2025
DEUCE: Dual-diversity Enhancement and Uncertainty-awareness for Cold-start Active Learning
DEUCE: Dual-diversity Enhancement and Uncertainty-awareness for Cold-start Active Learning
Jiaxin Guo
Cheng Chen
Shuzhen Li
Tianze Zhang
144
0
0
01 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
63
0
0
23 Dec 2024
Active Learning for WBAN-based Health Monitoring
Active Learning for WBAN-based Health Monitoring
Cho-Chun Chiu
Tuan Nguyen
Ting He
Shiqiang Wang
Beom-Su Kim
Ki-Il Kim
25
0
0
05 Aug 2024
Not All Preference Pairs Are Created Equal: A Recipe for
  Annotation-Efficient Iterative Preference Learning
Not All Preference Pairs Are Created Equal: A Recipe for Annotation-Efficient Iterative Preference Learning
Sen Yang
Leyang Cui
Deng Cai
Xinting Huang
Shuming Shi
Wai Lam
78
9
0
25 Jun 2024
Self-Training for Sample-Efficient Active Learning for Text
  Classification with Pre-Trained Language Models
Self-Training for Sample-Efficient Active Learning for Text Classification with Pre-Trained Language Models
Christopher Schröder
Gerhard Heyer
VLM
97
0
0
13 Jun 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
131
7
0
17 May 2024
A Survey on Deep Active Learning: Recent Advances and New Frontiers
A Survey on Deep Active Learning: Recent Advances and New Frontiers
Dongyuan Li
Zhen Wang
Yankai Chen
Xue Liu
Weiping Ding
Manabu Okumura
165
31
0
01 May 2024
AnchorAL: Computationally Efficient Active Learning for Large and
  Imbalanced Datasets
AnchorAL: Computationally Efficient Active Learning for Large and Imbalanced Datasets
Pietro Lesci
Andreas Vlachos
148
5
0
08 Apr 2024
On the Fragility of Active Learners for Text Classification
On the Fragility of Active Learners for Text Classification
Abhishek Ghose
Emma Nguyen
126
2
0
23 Mar 2024
STAR: Constraint LoRA with Dynamic Active Learning for Data-Efficient
  Fine-Tuning of Large Language Models
STAR: Constraint LoRA with Dynamic Active Learning for Data-Efficient Fine-Tuning of Large Language Models
Linhai Zhang
Jialong Wu
Deyu Zhou
Guoqiang Xu
98
5
0
02 Mar 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
Maria Bielikova
Joaquin Vanschoren
95
2
0
05 Feb 2024
Active Learning for NLP with Large Language Models
Active Learning for NLP with Large Language Models
Xuesong Wang
53
1
0
14 Jan 2024
How Many Validation Labels Do You Need? Exploring the Design Space of
  Label-Efficient Model Ranking
How Many Validation Labels Do You Need? Exploring the Design Space of Label-Efficient Model Ranking
Zhengyu Hu
Jieyu Zhang
Yue Yu
Yuchen Zhuang
Hui Xiong
71
5
0
04 Dec 2023
Human Still Wins over LLM: An Empirical Study of Active Learning on
  Domain-Specific Annotation Tasks
Human Still Wins over LLM: An Empirical Study of Active Learning on Domain-Specific Annotation Tasks
Yuxuan Lu
Bingsheng Yao
Shao Zhang
Yun Wang
Peng Zhang
Tun Lu
Toby Jia-Jun Li
Dakuo Wang
ALM
91
20
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
81
15
0
16 Nov 2023
Learning to Learn for Few-shot Continual Active Learning
Learning to Learn for Few-shot Continual Active Learning
Stella Ho
Ming Liu
Shang Gao
Longxiang Gao
KELMBDLVLMCLL
58
3
0
07 Nov 2023
Divide & Conquer for Entailment-aware Multi-hop Evidence Retrieval
Divide & Conquer for Entailment-aware Multi-hop Evidence Retrieval
Fan Luo
Mihai Surdeanu
62
2
0
05 Nov 2023
Perturbation-based Active Learning for Question Answering
Perturbation-based Active Learning for Question Answering
Fan Luo
Mihai Surdeanu
81
0
0
04 Nov 2023
Interactive Multi-fidelity Learning for Cost-effective Adaptation of
  Language Model with Sparse Human Supervision
Interactive Multi-fidelity Learning for Cost-effective Adaptation of Language Model with Sparse Human Supervision
Jiaxin Zhang
Zhuohang Li
Kamalika Das
Kumar Sricharan
91
2
0
31 Oct 2023
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
Costas Mavromatis
Balasubramaniam Srinivasan
Zhengyuan Shen
Jiani Zhang
Huzefa Rangwala
Christos Faloutsos
George Karypis
60
26
0
30 Oct 2023
Improving a Named Entity Recognizer Trained on Noisy Data with a Few
  Clean Instances
Improving a Named Entity Recognizer Trained on Noisy Data with a Few Clean Instances
Zhendong Chu
Ruiyi Zhang
Tong Yu
R. Jain
Vlad I. Morariu
Jiuxiang Gu
A. Nenkova
NoLa
118
2
0
25 Oct 2023
Cache & Distil: Optimising API Calls to Large Language Models
Cache & Distil: Optimising API Calls to Large Language Models
Guillem Ramírez
Matthias Lindemann
Alexandra Birch
Ivan Titov
76
4
0
20 Oct 2023
XAL: EXplainable Active Learning Makes Classifiers Better Low-resource
  Learners
XAL: EXplainable Active Learning Makes Classifiers Better Low-resource Learners
Yun Luo
Zhen Yang
Fandong Meng
Yingjie Li
Fang Guo
Qinglin Qi
Jie Zhou
Yue Zhang
99
2
0
09 Oct 2023
Making Pre-trained Language Models both Task-solvers and
  Self-calibrators
Making Pre-trained Language Models both Task-solvers and Self-calibrators
Yangyi Chen
Xingyao Wang
Heng Ji
54
0
0
21 Jul 2023
Large Language Models as Annotators: Enhancing Generalization of NLP
  Models at Minimal Cost
Large Language Models as Annotators: Enhancing Generalization of NLP Models at Minimal Cost
Parikshit Bansal
Amit Sharma
94
40
0
27 Jun 2023
ActiveGLAE: A Benchmark for Deep Active Learning with Transformers
ActiveGLAE: A Benchmark for Deep Active Learning with Transformers
Lukas Rauch
Yi Men
Denis Huseljic
Moritz Wirth
Bernd Bischl
Bernhard Sick
91
13
0
16 Jun 2023
Active Learning for Natural Language Generation
Active Learning for Natural Language Generation
Yotam Perlitz
Ariel Gera
Michal Shmueli-Scheuer
D. Sheinwald
Noam Slonim
L. Ein-Dor
96
3
0
24 May 2023
Parameter-Efficient Language Model Tuning with Active Learning in
  Low-Resource Settings
Parameter-Efficient Language Model Tuning with Active Learning in Low-Resource Settings
Josip Jukić
Jan vSnajder
86
4
0
23 May 2023
On the Limitations of Simulating Active Learning
On the Limitations of Simulating Active Learning
Katerina Margatina
Nikolaos Aletras
82
11
0
21 May 2023
On Dataset Transferability in Active Learning for Transformers
On Dataset Transferability in Active Learning for Transformers
Fran Jelenić
Josip Jukić
Nina Drobac
Jan vSnajder
69
2
0
16 May 2023
Active Prompting with Chain-of-Thought for Large Language Models
Active Prompting with Chain-of-Thought for Large Language Models
Shizhe Diao
Pengcheng Wang
Yong Lin
Tong Zhang
ReLMKELMLLMAGLRM
134
133
0
23 Feb 2023
Investigating Multi-source Active Learning for Natural Language
  Inference
Investigating Multi-source Active Learning for Natural Language Inference
Ard Snijders
Douwe Kiela
Katerina Margatina
77
7
0
14 Feb 2023
Smooth Sailing: Improving Active Learning for Pre-trained Language
  Models with Representation Smoothness Analysis
Smooth Sailing: Improving Active Learning for Pre-trained Language Models with Representation Smoothness Analysis
Josip Jukić
Jan Snajder
78
5
0
20 Dec 2022
The Infinite Index: Information Retrieval on Generative Text-To-Image
  Models
The Infinite Index: Information Retrieval on Generative Text-To-Image Models
Niklas Deckers
Maik Fröbe
Johannes Kiesel
G. Pandolfo
Christopher Schröder
Benno Stein
Martin Potthast
DiffM
91
16
0
14 Dec 2022
MEAL: Stable and Active Learning for Few-Shot Prompting
MEAL: Stable and Active Learning for Few-Shot Prompting
Abdullatif Köksal
Timo Schick
Hinrich Schütze
98
26
0
15 Nov 2022
Active Learning with Tabular Language Models
Active Learning with Tabular Language Models
Martin Ringsquandl
A. Koleva
LMTD
88
0
0
08 Nov 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
100
68
0
18 Oct 2022
To Softmax, or not to Softmax: that is the question when applying Active
  Learning for Transformer Models
To Softmax, or not to Softmax: that is the question when applying Active Learning for Transformer Models
Julius Gonsior
C. Falkenberg
Silvio Magino
Anja Reusch
Maik Thiele
Wolfgang Lehner
UQCV
81
7
0
06 Oct 2022
Is More Data Better? Re-thinking the Importance of Efficiency in Abusive
  Language Detection with Transformers-Based Active Learning
Is More Data Better? Re-thinking the Importance of Efficiency in Abusive Language Detection with Transformers-Based Active Learning
Hannah Rose Kirk
Bertie Vidgen
Scott A. Hale
51
10
0
21 Sep 2022
Cold-Start Data Selection for Few-shot Language Model Fine-tuning: A
  Prompt-Based Uncertainty Propagation Approach
Cold-Start Data Selection for Few-shot Language Model Fine-tuning: A Prompt-Based Uncertainty Propagation Approach
Yue Yu
Rongzhi Zhang
Ran Xu
Jieyu Zhang
Jiaming Shen
Chao Zhang
103
21
0
15 Sep 2022
Active PETs: Active Data Annotation Prioritisation for Few-Shot Claim
  Verification with Pattern Exploiting Training
Active PETs: Active Data Annotation Prioritisation for Few-Shot Claim Verification with Pattern Exploiting Training
Xia Zeng
A. Zubiaga
92
8
0
18 Aug 2022
Active Few-Shot Learning with FASL
Active Few-Shot Learning with FASL
Thomas Müller
Guillermo Pérez-Torró
Angelo Basile
Marc Franco-Salvador
VLM
106
22
0
20 Apr 2022
A Survey on Green Deep Learning
A Survey on Green Deep Learning
Jingjing Xu
Wangchunshu Zhou
Zhiyi Fu
Hao Zhou
Lei Li
VLM
203
84
0
08 Nov 2021
Active Learning for Argument Mining: A Practical Approach
Active Learning for Argument Mining: A Practical Approach
Nikolai Solmsdorf
Dietrich Trautmann
Hinrich Schütze
HAI
32
1
0
28 Sep 2021
Small-Text: Active Learning for Text Classification in Python
Small-Text: Active Learning for Text Classification in Python
Christopher Schröder
Lydia Muller
A. Niekler
Martin Potthast
CLIPVLMAI4CE
123
28
0
21 Jul 2021
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