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Cited By
Small-Text: Active Learning for Text Classification in Python
21 July 2021
Christopher Schröder
Lydia Muller
A. Niekler
Martin Potthast
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VLM
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Papers citing
"Small-Text: Active Learning for Text Classification in Python"
14 / 14 papers shown
Title
A Cost-Effective LLM-based Approach to Identify Wildlife Trafficking in Online Marketplaces
Juliana Barbosa
Ulhas Gondhali
Gohar Petrossian
Kinshuk Sharma
Sunandan Chakraborty
Jennifer Jacquet
Juliana Freire
31
0
0
29 Apr 2025
ALPET: Active Few-shot Learning for Citation Worthiness Detection in Low-Resource Wikipedia Languages
Aida Halitaj
Arkaitz Zubiaga
47
0
0
05 Feb 2025
A Survey of Uncertainty Estimation in LLMs: Theory Meets Practice
Hsiu-Yuan Huang
Yutong Yang
Zhaoxi Zhang
Sanwoo Lee
Yunfang Wu
25
9
0
20 Oct 2024
Active Learning for Identifying Disaster-Related Tweets: A Comparison with Keyword Filtering and Generic Fine-Tuning
David Hanny
Sebastian Schmidt
Bernd Resch
21
2
0
19 Aug 2024
Self-Training for Sample-Efficient Active Learning for Text Classification with Pre-Trained Language Models
Christopher Schröder
Gerhard Heyer
VLM
31
0
0
13 Jun 2024
STAR: Constraint LoRA with Dynamic Active Learning for Data-Efficient Fine-Tuning of Large Language Models
Linhai Zhang
Jialong Wu
Deyu Zhou
Guoqiang Xu
25
4
0
02 Mar 2024
Active Learning Principles for In-Context Learning with Large Language Models
Katerina Margatina
Timo Schick
Nikolaos Aletras
Jane Dwivedi-Yu
20
39
0
23 May 2023
On the Limitations of Simulating Active Learning
Katerina Margatina
Nikolaos Aletras
29
11
0
21 May 2023
ALANNO: An Active Learning Annotation System for Mortals
Josip Jukić
Fran Jelenić
Miroslav Bićanić
Jan Snajder
13
2
0
11 Nov 2022
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
36
7
0
06 Oct 2022
Efficient Few-Shot Learning Without Prompts
Lewis Tunstall
Nils Reimers
Unso Eun Seo Jo
Luke Bates
Daniel Korat
Moshe Wasserblat
Oren Pereg
VLM
26
180
0
22 Sep 2022
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
18
10
0
21 Sep 2022
Revisiting Uncertainty-based Query Strategies for Active Learning with Transformers
Christopher Schröder
A. Niekler
Martin Potthast
11
77
0
12 Jul 2021
Cold-start Active Learning through Self-supervised Language Modeling
Michelle Yuan
Hsuan-Tien Lin
Jordan L. Boyd-Graber
104
180
0
19 Oct 2020
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