Kim, Sungdong

Leveraging Large Language Models to Power Chatbots for Collecting User Self-Reported Data

Wei, J., Kim, S., Jung, H., & Kim, Y.-H. (2024) · Proceedings of the ACM on Human-Computer Interaction

Speech and dialogue systemsAI in Service Interactions

Cited by 84

DAPIE: Interactive Step-by-Step Explanatory Dialogues to Answer Children’s Why and How Questions

Lee, Y., Kim, T. S., Kim, S., Yun, Y., & Kim, J. (2023) · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

Speech and dialogue systemsIntelligent Tutoring Systems and Adaptive Learning

Cited by 35

Keep Me Updated! Memory Management in Long-term Conversations

Bae, S., Kwak, D., Kang, S., Lee, M. Y., Kim, S., Jeong, Y., Kim, H., Lee, S.-W., Park, W., & Sung, N. (2022) · Findings of the Association for Computational Linguistics: EMNLP 2022

Speech and dialogue systemsNatural Language Processing Techniques

Cited by 29

Prometheus: Inducing Fine-grained Evaluation Capability in Language Models

Kim, S., Shin, J., Cho, Y., Jang, J., Longpre, S., Lee, H., Yun, S., Shin, S., Kim, S., Thorne, J., et al. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 15

Keep Me Updated! Memory Management in Long-term Conversations

Bae, S., Kwak, D., Kang, S., Lee, M. Y., Kim, S., Jeong, Y., Kim, H., Lee, S.-W., Park, W., & Sung, N. (2022) · arXiv

Speech and dialogue systemsAI in Service Interactions

Cited by 5

Gradient Ascent Post-training Enhances Language Model Generalization

Yoon, D., Jang, J., Kim, S., & Seo, M. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 3