SynthDST: Synthetic Data is All You Need for Few-Shot Dialog State Tracking

3 February 2024

Papers citing "SynthDST: Synthetic Data is All You Need for Few-Shot Dialog State Tracking"

6 / 6 papers shown

Title
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 21 7 0 18 Feb 2024
ASDOT: Any-Shot Data-to-Text Generation with Pretrained Language Models Jiannan Xiang Zhengzhong Liu Yucheng Zhou Eric P. Xing Zhiting Hu 37 16 0 09 Oct 2022
Controllable Dialogue Simulation with In-Context Learning Zekun Li Wenhu Chen Shiyang Li Hong Wang Jingu Qian Xi Yan 133 44 0 09 Oct 2022
SYNERGY: Building Task Bots at Scale Using Symbolic Knowledge and Machine Teaching Baolin Peng Chunyuan Li Zhu Zhang Jinchao Li Chenguang Zhu Jianfeng Gao 60 3 0 21 Oct 2021
What Makes Good In-Context Examples for GPT- $3$ ? Jiachang Liu Dinghan Shen Yizhe Zhang Bill Dolan Lawrence Carin Weizhu Chen AAML RALM 275 1,296 0 17 Jan 2021
Few Shot Dialogue State Tracking using Meta-learning Saket Dingliwal Bill Gao Sanchit Agarwal Chien-Wei Lin Tagyoung Chung Dilek Z. Hakkani-Tür OffRL 43 19 0 17 Jan 2021