Stabilized In-Context Learning with Pre-trained Language Models for Few
Shot Dialogue State Tracking

Stabilized In-Context Learning with Pre-trained Language Models for Few Shot Dialogue State Tracking

12 February 2023

Kun Qian

Papers citing "Stabilized In-Context Learning with Pre-trained Language Models for Few Shot Dialogue State Tracking"

10 / 10 papers shown

Title
Are Prompt-based Models Clueless? Pride Kavumba Ryo Takahashi Yusuke Oda VLM 139 13 0 19 May 2022
Reason first, then respond: Modular Generation for Knowledge-infused Dialogue Leonard Adolphs Kurt Shuster Jack Urbanek Arthur Szlam Jason Weston KELM LRM 204 41 0 09 Nov 2021
Meta-learning via Language Model In-context Tuning Yanda Chen Ruiqi Zhong Sheng Zha George Karypis He He 234 156 0 15 Oct 2021
Internet-Augmented Dialogue Generation M. Komeili Kurt Shuster Jason Weston RALM 244 280 0 15 Jul 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,848 0 18 Apr 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 1,312 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 57 21 0 17 Jan 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 243 1,919 0 31 Dec 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 258 1,589 0 21 Jan 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 344 11,684 0 09 Mar 2017