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Enhancing Text Classification through LLM-Driven Active Learning and
  Human Annotation

Enhancing Text Classification through LLM-Driven Active Learning and Human Annotation

17 June 2024
Hamidreza Rouzegar
Masoud Makrehchi
ArXivPDFHTML

Papers citing "Enhancing Text Classification through LLM-Driven Active Learning and Human Annotation"

5 / 5 papers shown
Title
LogiDebrief: A Signal-Temporal Logic based Automated Debriefing Approach with Large Language Models Integration
LogiDebrief: A Signal-Temporal Logic based Automated Debriefing Approach with Large Language Models Integration
Zirong Chen
Ziyan An
Jennifer Reynolds
Kristin Mullen
Stephen Martini
Meiyi Ma
27
0
0
06 May 2025
GenCLS++: Pushing the Boundaries of Generative Classification in LLMs Through Comprehensive SFT and RL Studies Across Diverse Datasets
GenCLS++: Pushing the Boundaries of Generative Classification in LLMs Through Comprehensive SFT and RL Studies Across Diverse Datasets
Mingqian He
Fei Zhao
Chonggang Lu
Z. Liu
Y. Wang
Haofu Qian
OffRL
AI4TS
VLM
64
0
0
28 Apr 2025
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
T. Lu
Toby Jia-Jun Li
Dakuo Wang
ALM
29
16
0
16 Nov 2023
On the Limitations of Simulating Active Learning
On the Limitations of Simulating Active Learning
Katerina Margatina
Nikolaos Aletras
29
11
0
21 May 2023
Cold-start Active Learning through Self-supervised Language Modeling
Cold-start Active Learning through Self-supervised Language Modeling
Michelle Yuan
Hsuan-Tien Lin
Jordan L. Boyd-Graber
104
180
0
19 Oct 2020
1