Self-Supervised Contrastive Learning for Efficient User Satisfaction Prediction in Conversational Agents

21 October 2020

Papers citing "Self-Supervised Contrastive Learning for Efficient User Satisfaction Prediction in Conversational Agents"

7 / 7 papers shown

Title
LLM-guided Plan and Retrieval: A Strategic Alignment for Interpretable User Satisfaction Estimation in Dialogue Sangyeop Kim S. Park Jaewon Jung Jinseok Kim Sungzoon Cho 45 0 0 06 Mar 2025
Data Augmentation for Improving Tail-traffic Robustness in Skill-routing for Dialogue Systems Ting-Wei Wu Fatemeh Sheikholeslami Mohammad Kachuee Jaeyoung Do Sungjin Lee 18 0 0 07 Jun 2023
Schema-Guided User Satisfaction Modeling for Task-Oriented Dialogues Yue Feng Yunlong Jiao Animesh Prasad Nikolaos Aletras Emine Yilmaz G. Kazai 22 5 0 26 May 2023
Modeling User Satisfaction Dynamics in Dialogue via Hawkes Process Fanghua Ye Zhiyuan Hu Emine Yilmaz 11 6 0 21 May 2023
State-of-the-art generalisation research in NLP: A taxonomy and review Dieuwke Hupkes Mario Giulianelli Verna Dankers Mikel Artetxe Yanai Elazar ... Leila Khalatbari Maria Ryskina Rita Frieske Ryan Cotterell Zhijing Jin 111 93 0 06 Oct 2022
DialAug: Mixing up Dialogue Contexts in Contrastive Learning for Robust Conversational Modeling Lahari Poddar Peiyao Wang J. Reinspach 11 5 0 15 Apr 2022
Scalable and Robust Self-Learning for Skill Routing in Large-Scale Conversational AI Systems Mohammad Kachuee Jinseok Nam Sarthak Ahuja J. Won Sungjin Lee 16 5 0 14 Apr 2022