AuGPT: Auxiliary Tasks and Data Augmentation for End-To-End Dialogue with Pre-Trained Language Models

9 February 2021

Papers citing "AuGPT: Auxiliary Tasks and Data Augmentation for End-To-End Dialogue with Pre-Trained Language Models"

10 / 10 papers shown

Title
LEEETs-Dial: Linguistic Entrainment in End-to-End Task-oriented Dialogue systems Nalin Kumar Ondrej Dusek 21 0 0 15 Nov 2023
Lexical Entrainment for Conversational Systems Zhengxiang Shi Procheta Sen Aldo Lipani 31 1 0 14 Oct 2023
InstructTODS: Large Language Models for End-to-End Task-Oriented Dialogue Systems Willy Chung Samuel Cahyawijaya Bryan Wilie Holy Lovenia Pascale Fung 17 5 0 13 Oct 2023
Curricular Transfer Learning for Sentence Encoded Tasks Jader Martins Camboim de Sá Matheus Ferraroni Sanches R. R. Souza Júlio Cesar dos Reis Leandro A. Villas 19 0 0 03 Aug 2023
Understanding Emotion Valence is a Joint Deep Learning Task Gabriel Roccabruna Seyed Mahed Mousavi Giuseppe Riccardi 21 0 0 27 May 2023
Towards Robust Personalized Dialogue Generation via Order-Insensitive Representation Regularization Liang Chen Hongru Wang Yang Deng Wai-Chung Kwan Zezhong Wang Kam-Fai Wong 21 14 0 22 May 2023
Are LLMs All You Need for Task-Oriented Dialogue? Vojtvech Hudevcek Ondrej Dusek 21 55 0 13 Apr 2023
Weakly Supervised Data Augmentation Through Prompting for Dialogue Understanding Maximillian Chen Alexandros Papangelis Chenyang Tao Andrew Rosenbaum Seokhwan Kim Yang Liu Zhou Yu Dilek Z. Hakkani-Tür 39 32 0 25 Oct 2022
Are Current Task-oriented Dialogue Systems Able to Satisfy Impolite Users? Zhiqiang Hu Roy Ka-Wei Lee Nancy F. Chen 30 4 0 24 Oct 2022
UBARv2: Towards Mitigating Exposure Bias in Task-Oriented Dialogs Yunyi Yang Hong Ding Qing Liu Xiaojun Quan 26 1 0 15 Sep 2022