Data Augmentation using Large Language Models: Data Perspectives,
Learning Paradigms and Challenges

Data Augmentation using Large Language Models: Data Perspectives, Learning Paradigms and Challenges

5 March 2024

Papers citing "Data Augmentation using Large Language Models: Data Perspectives, Learning Paradigms and Challenges"

9 / 9 papers shown

Title
Generated Data with Fake Privacy: Hidden Dangers of Fine-tuning Large Language Models on Generated Data Atilla Akkus Mingjie Li Junjie Chu Junjie Chu Michael Backes Sinem Sav Sinem Sav SILM SyDa 23 1 0 12 Sep 2024
Audio Flamingo: A Novel Audio Language Model with Few-Shot Learning and Dialogue Abilities Zhifeng Kong Arushi Goel Rohan Badlani Wei Ping Rafael Valle Bryan Catanzaro AuLLM LM&MA MLLM 48 27 0 02 Feb 2024
SCOTT: Self-Consistent Chain-of-Thought Distillation Jamie Yap Zhengyang Wang Zheng Li K. Lynch Bing Yin Xiang Ren LRM 49 91 0 03 May 2023
Mixture of Soft Prompts for Controllable Data Generation Derek Chen Celine Lee Yunan Lu Domenic Rosati Zhou Yu 95 15 0 02 Mar 2023
Controllable Dialogue Simulation with In-Context Learning Zekun Li Wenhu Chen Shiyang Li Hong Wang Jingu Qian Xi Yan 122 44 0 09 Oct 2022
Medically Aware GPT-3 as a Data Generator for Medical Dialogue Summarization Bharath Chintagunta Namit Katariya X. Amatriain Anitha Kannan LM&MA MedIm 117 145 0 09 Sep 2021
A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios Michael A. Hedderich Lukas Lange Heike Adel Jannik Strötgen Dietrich Klakow 188 283 0 23 Oct 2020
Efficient Intent Detection with Dual Sentence Encoders I. Casanueva Tadas Temvcinas D. Gerz Matthew Henderson Ivan Vulić VLM 160 444 0 10 Mar 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 220 3,054 0 23 Jan 2020