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Young-Bum Kim

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Deciding Whether to Ask Clarifying Questions in Large-Scale Spoken Language Understanding

Sep 25, 2021
Joo-Kyung Kim, Guoyin Wang, Sungjin Lee, Young-Bum Kim

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AUGNLG: Few-shot Natural Language Generation using Self-trained Data Augmentation

Jun 10, 2021
Xinnuo Xu, Guoyin Wang, Young-Bum Kim, Sungjin Lee

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Learning Slice-Aware Representations with Mixture of Attentions

Jun 04, 2021
Cheng Wang, Sungjin Lee, Sunghyun Park, Han Li, Young-Bum Kim, Ruhi Sarikaya

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Handling Long-Tail Queries with Slice-Aware Conversational Systems

Apr 26, 2021
Cheng Wang, Sun Kim, Taiwoo Park, Sajal Choudhary, Sunghyun Park, Young-Bum Kim, Ruhi Sarikaya, Sungjin Lee

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Neural model robustness for skill routing in large-scale conversational AI systems: A design choice exploration

Mar 04, 2021
Han Li, Sunghyun Park, Aswarth Dara, Jinseok Nam, Sungjin Lee, Young-Bum Kim, Spyros Matsoukas, Ruhi Sarikaya

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A Data-driven Approach to Estimate User Satisfaction in Multi-turn Dialogues

Mar 01, 2021
Ziming Li, Dookun Park, Julia Kiseleva, Young-Bum Kim, Sungjin Lee

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A Scalable Framework for Learning From Implicit User Feedback to Improve Natural Language Understanding in Large-Scale Conversational AI Systems

Oct 23, 2020
Sunghyun Park, Han Li, Ameen Patel, Sidharth Mudgal, Sungjin Lee, Young-Bum Kim, Spyros Matsoukas, Ruhi Sarikaya

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

Oct 21, 2020
Mohammad Kachuee, Hao Yuan, Young-Bum Kim, Sungjin Lee

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Large-scale Hybrid Approach for Predicting User Satisfaction with Conversational Agents

May 29, 2020
Dookun Park, Hao Yuan, Dongmin Kim, Yinglei Zhang, Matsoukas Spyros, Young-Bum Kim, Ruhi Sarikaya, Edward Guo, Yuan Ling, Kevin Quinn, Pham Hung, Benjamin Yao, Sungjin Lee

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Pseudo Labeling and Negative Feedback Learning for Large-scale Multi-label Domain Classification

Mar 08, 2020
Joo-Kyung Kim, Young-Bum Kim

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