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Effects of diversity incentives on sample diversity and downstream model
  performance in LLM-based text augmentation

Effects of diversity incentives on sample diversity and downstream model performance in LLM-based text augmentation

12 January 2024
Ján Cegin
Branislav Pecher
Jakub Simko
Ivan Srba
M. Bieliková
Peter Brusilovsky
ArXivPDFHTML

Papers citing "Effects of diversity incentives on sample diversity and downstream model performance in LLM-based text augmentation"

15 / 15 papers shown
Title
Diversity-Oriented Data Augmentation with Large Language Models
Diversity-Oriented Data Augmentation with Large Language Models
Zaitian Wang
Jinghan Zhang
Xinhao Zhang
Kunpeng Liu
Pengfei Wang
Yuanchun Zhou
78
1
0
17 Feb 2025
A Survey on Data Synthesis and Augmentation for Large Language Models
A Survey on Data Synthesis and Augmentation for Large Language Models
Ke Wang
Jiahui Zhu
Minjie Ren
Z. Liu
Shiwei Li
...
Chenkai Zhang
Xiaoyu Wu
Qiqi Zhan
Qingjie Liu
Yunhong Wang
SyDa
38
15
0
16 Oct 2024
DragEntity: Trajectory Guided Video Generation using Entity and
  Positional Relationships
DragEntity: Trajectory Guided Video Generation using Entity and Positional Relationships
Zhang Wan
Sheng Tang
Jiawei Wei
Ruize Zhang
Juan Cao
VGen
17
2
0
14 Oct 2024
Exploring LLM-based Data Annotation Strategies for Medical Dialogue
  Preference Alignment
Exploring LLM-based Data Annotation Strategies for Medical Dialogue Preference Alignment
Chengfeng Dou
Y. Zhang
Zhi Jin
Wenpin Jiao
Haiyan Zhao
Yongqiang Zhao
Zhengwei Tao
30
0
0
05 Oct 2024
LLM-DER:A Named Entity Recognition Method Based on Large Language Models
  for Chinese Coal Chemical Domain
LLM-DER:A Named Entity Recognition Method Based on Large Language Models for Chinese Coal Chemical Domain
Le Xiao
Yunfei Xu
Jing Zhao
22
1
0
16 Sep 2024
LLMs vs Established Text Augmentation Techniques for Classification:
  When do the Benefits Outweight the Costs?
LLMs vs Established Text Augmentation Techniques for Classification: When do the Benefits Outweight the Costs?
Ján Cegin
Jakub Simko
Peter Brusilovsky
18
1
0
29 Aug 2024
Fighting Randomness with Randomness: Mitigating Optimisation Instability
  of Fine-Tuning using Delayed Ensemble and Noisy Interpolation
Fighting Randomness with Randomness: Mitigating Optimisation Instability of Fine-Tuning using Delayed Ensemble and Noisy Interpolation
Branislav Pecher
Ján Cegin
Róbert Belanec
Jakub Simko
Ivan Srba
M. Bieliková
37
1
0
18 Jun 2024
A Comprehensive Survey on Data Augmentation
A Comprehensive Survey on Data Augmentation
Zaitian Wang
Pengfei Wang
Kunpeng Liu
Pengyang Wang
Yanjie Fu
Chang-Tien Lu
Charu Aggarwal
Jian Pei
Yuanchun Zhou
ViT
92
19
0
15 May 2024
Improving Demonstration Diversity by Human-Free Fusing for Text-to-SQL
Improving Demonstration Diversity by Human-Free Fusing for Text-to-SQL
Dingzirui Wang
Longxu Dou
Xuanliang Zhang
Qingfu Zhu
Wanxiang Che
21
7
0
16 Feb 2024
Task Contamination: Language Models May Not Be Few-Shot Anymore
Task Contamination: Language Models May Not Be Few-Shot Anymore
Changmao Li
Jeffrey Flanigan
92
87
0
26 Dec 2023
A Ship of Theseus: Curious Cases of Paraphrasing in LLM-Generated Texts
A Ship of Theseus: Curious Cases of Paraphrasing in LLM-Generated Texts
Nafis Irtiza Tripto
Saranya Venkatraman
Dominik Macko
Robert Moro
Ivan Srba
Adaku Uchendu
Thai V. Le
Dongwon Lee
DeLMO
35
16
0
14 Nov 2023
ZeroShotDataAug: Generating and Augmenting Training Data with ChatGPT
ZeroShotDataAug: Generating and Augmenting Training Data with ChatGPT
S. Ubani
S. Polat
Rodney D. Nielsen
84
51
0
27 Apr 2023
Novelty Controlled Paraphrase Generation with Retrieval Augmented
  Conditional Prompt Tuning
Novelty Controlled Paraphrase Generation with Retrieval Augmented Conditional Prompt Tuning
Jishnu Ray Chowdhury
Yong Zhuang
Shuyi Wang
129
39
0
01 Feb 2022
Toward Learning Human-aligned Cross-domain Robust Models by Countering
  Misaligned Features
Toward Learning Human-aligned Cross-domain Robust Models by Countering Misaligned Features
Haohan Wang
Zeyi Huang
Hanlin Zhang
Yong Jae Lee
Eric P. Xing
OOD
120
16
0
05 Nov 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
1