Continual Prompt Tuning for Dialog State Tracking

13 March 2022

Papers citing "Continual Prompt Tuning for Dialog State Tracking"

10 / 10 papers shown

Title
RELIEF: Reinforcement Learning Empowered Graph Feature Prompt Tuning Jiapeng Zhu Zichen Ding Jianxiang Yu Jiaqi Tan Xiang Li Weining Qian OffRL 139 2 0 20 Jan 2025
LSEBMCL: A Latent Space Energy-Based Model for Continual Learning Xiaodi Li Dingcheng Li Rujun Gao Mahmoud Zamani Latifur Khan CLL KELM 42 0 0 09 Jan 2025
Few-shot Personalization of LLMs with Mis-aligned Responses Jaehyung Kim Yiming Yang 33 7 0 26 Jun 2024
MoPE: Mixture of Prefix Experts for Zero-Shot Dialogue State Tracking Tianwen Tang Tong Zhu Haodong Liu Yin Bai Jia Cheng Wenliang Chen MoE 9 0 0 12 Apr 2024
Prompt Pool based Class-Incremental Continual Learning for Dialog State Tracking Hong Liu Yucheng Cai Yuan Zhou Zhijian Ou Yi Huang Junlan Feng CLL 14 2 0 17 Nov 2023
Turn-Level Active Learning for Dialogue State Tracking Zihan Zhang Meng Fang Fanghua Ye Ling-Hao Chen Mohammad-Reza Namazi-Rad 15 1 0 23 Oct 2023
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer Tu Vu Brian Lester Noah Constant Rami Al-Rfou Daniel Matthew Cer VLM LRM 131 276 0 15 Oct 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 275 3,784 0 18 Apr 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 238 1,898 0 31 Dec 2020
Language Models as Knowledge Bases? Fabio Petroni Tim Rocktaschel Patrick Lewis A. Bakhtin Yuxiang Wu Alexander H. Miller Sebastian Riedel KELM AI4MH 391 2,216 0 03 Sep 2019