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Controllable and Diverse Data Augmentation with Large Language Model for
  Low-Resource Open-Domain Dialogue Generation

Controllable and Diverse Data Augmentation with Large Language Model for Low-Resource Open-Domain Dialogue Generation

30 March 2024
Zhenhua Liu
Tong Zhu
Jianxiang Xiang
Wenliang Chen
ArXivPDFHTML

Papers citing "Controllable and Diverse Data Augmentation with Large Language Model for Low-Resource Open-Domain Dialogue Generation"

3 / 3 papers shown
Title
Self-seeding and Multi-intent Self-instructing LLMs for Generating Intent-aware Information-Seeking dialogs
Self-seeding and Multi-intent Self-instructing LLMs for Generating Intent-aware Information-Seeking dialogs
Arian Askari
Roxana Petcu
Chuan Meng
Mohammad Aliannejadi
Amin Abolghasemi
Evangelos Kanoulas
Suzan Verberne
23
9
0
18 Feb 2024
Controllable Semantic Parsing via Retrieval Augmentation
Controllable Semantic Parsing via Retrieval Augmentation
Panupong Pasupat
Yuan Zhang
Kelvin Guu
132
47
0
16 Oct 2021
Scaling Laws for Neural Language Models
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
264
4,505
0
23 Jan 2020
1