MDD-Eval: Self-Training on Augmented Data for Multi-Domain Dialogue
Evaluation

MDD-Eval: Self-Training on Augmented Data for Multi-Domain Dialogue Evaluation

14 December 2021

Chen Zhang

Thomas Friedrichs

Haizhou Li

Papers citing "MDD-Eval: Self-Training on Augmented Data for Multi-Domain Dialogue Evaluation"

6 / 6 papers shown

Title
TS-Align: A Teacher-Student Collaborative Framework for Scalable Iterative Finetuning of Large Language Models Chen Zhang Chengguang Tang Dading Chong Ke Shi Guohua Tang Feng Jiang Haizhou Li 27 4 0 30 May 2024
SLIDE: A Framework Integrating Small and Large Language Models for Open-Domain Dialogues Evaluation Kun Zhao Bohao Yang Chen Tang Chenghua Lin Liang Zhan 41 5 0 24 May 2024
Three Ways of Using Large Language Models to Evaluate Chat Ondvrej Plátek Vojtvech Hudevcek Patrícia Schmidtová Mateusz Lango Ondrej Dusek ALM 19 6 0 12 Aug 2023
Report from the NSF Future Directions Workshop on Automatic Evaluation of Dialog: Research Directions and Challenges Shikib Mehri Jinho Choi L. F. D’Haro Jan Deriu M. Eskénazi ... David Traum Yi-Ting Yeh Zhou Yu Yizhe Zhang Chen Zhang 28 21 0 18 Mar 2022
Investigating the Impact of Pre-trained Language Models on Dialog Evaluation Chen Zhang L. F. D’Haro Yiming Chen Thomas Friedrichs Haizhou Li 13 5 0 05 Oct 2021
Revisiting Self-Training for Neural Sequence Generation Junxian He Jiatao Gu Jiajun Shen MarcÁurelio Ranzato SSL LRM 242 269 0 30 Sep 2019