Yoo, Kang Min
5 papers on CoChatORCID 0000-0002-1171-6077
Most cited papers
- Verified
TaleBrush: Sketching Stories with Generative Pretrained Language Models
Chung, J. J. Y., Kim, W., Yoo, K. M., Lee, H., Adar, E., & Chang, M. (2022) · CHI Conference on Human Factors in Computing Systems
Artificial Intelligence in GamesInnovative Human-Technology Interaction
Cited by 206
- Verified
GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation
Yoo, K. M., Park, D., Kang, J., Lee, S.-W., & Park, W. (2021) · Findings of the Association for Computational Linguistics: EMNLP 2021
Topic ModelingDomain Adaptation and Few-Shot Learning
Cited by 151
- Verified
Self-Generated In-Context Learning: Leveraging Auto-regressive Language Models as a Demonstration Generator
Kim, H. J., Cho, H., Kim, J., Kim, T., Yoo, K. M., & Lee, S.-G. (2022) · arXiv
Domain Adaptation and Few-Shot LearningTopic Modeling
Cited by 12
- Verified
ReflexiCoder: Teaching Large Language Models to Self-Reflect on Generated Code and Self-Correct It via Reinforcement Learning
Jiang, J., Shen, J., Kim, S., Yoo, K. M., Kim, J., & Kim, S. (2026) · arXiv
Software Engineering ResearchTeaching and Learning Programming
Cited by 8
- Verified
Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations
Yoo, K. M., Kim, J., Kim, H. J., Cho, H., Jo, H., Lee, S.-W., Lee, S.-G., & Kim, T. (2022) · arXiv
Domain Adaptation and Few-Shot LearningTopic Modeling
Cited by 2
Go further with a free account
Verify every reference, keep papers in a library, and ask questions across them.
Sign up - it is free