N-Shot Learning for Augmenting Task-Oriented Dialogue State Tracking

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N-Shot Learning for Augmenting Task-Oriented Dialogue State Tracking

Findings (Findings), 2021

27 February 2021

Taha İbrahim Aksu

Nancy F. Chen

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Papers citing "N-Shot Learning for Augmenting Task-Oriented Dialogue State Tracking"

6 / 6 papers shown

Title
Generative Induction of Dialogue Task Schemas with Streaming Refinement and Simulated Interactions James D. Finch Yasasvi Josyula Jinho Choi 156 0 0 25 Apr 2025
Diverse and Effective Synthetic Data Generation for Adaptable Zero-Shot Dialogue State Tracking James D. Finch Jinho D. Choi 141 4 0 21 May 2024
Dual-path Frequency Discriminators for Few-shot Anomaly Detection Yuhu Bai Jiangning Zhang Yuhang Dong Guanzhong Tian Liang Liu Yunkang Cao Yabiao Wang Chengjie Wang 212 10 0 07 Mar 2024
Prompter: Zero-shot Adaptive Prefixes for Dialogue State Tracking Domain AdaptationAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 Taha İbrahim Aksu MingSung Kan Nancy F. Chen VLM 141 14 0 07 Jun 2023
"Do you follow me?": A Survey of Recent Approaches in Dialogue State TrackingSIGDIAL Conferences (SIGDIAL), 2022 Léo Jacqmin L. Rojas-Barahona Benoit Favre 217 33 0 29 Jul 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and OpportunitiesACM Computing Surveys (ACM CSUR), 2022 Yisheng Song Ting-Yuan Wang S. Mondal J. P. Sahoo SLR 272 533 0 13 May 2022