| Large language models are few-shot testers: Exploring llm-based general bug reproduction S Kang, J Yoon, S Yoo 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE …, 2023 | 194 | 2023 |
| An ultra-high-density bin map facilitates high-throughput QTL mapping of horticultural traits in pepper (Capsicum annuum) K Han, HJ Jeong, HB Yang, SM Kang, JK Kwon, S Kim, D Choi, BC Kang DNA Research 23 (2), 81-91, 2016 | 120 | 2016 |
| Arachne: Search-Based Repair of Deep Neural Networks J Sohn, S Kang, S Yoo ACM Transactions on Software Engineering and Methodology 32 (4), 1-26, 2023 | 107* | 2023 |
| A quantitative and qualitative evaluation of LLM-based explainable fault localization S Kang, G An, S Yoo Proceedings of the ACM on Software Engineering 1 (FSE), 1424-1446, 2024 | 76* | 2024 |
| Towards autonomous testing agents via conversational large language models R Feldt, S Kang, J Yoon, S Yoo 2023 38th IEEE/ACM International Conference on Automated Software …, 2023 | 52 | 2023 |
| Explainable automated debugging via large language model-driven scientific debugging S Kang, B Chen, S Yoo, JG Lou Empirical Software Engineering 30 (2), 1-28, 2025 | 45 | 2025 |
| Sinvad: Search-based image space navigation for dnn image classifier test input generation S Kang, R Feldt, S Yoo Proceedings of the IEEE/ACM 42nd International Conference on Software …, 2020 | 32 | 2020 |
| Language models can prioritize patches for practical program patching S Kang, S Yoo Proceedings of the Third International Workshop on Automated Program Repair …, 2022 | 15 | 2022 |
| Consistent comic colorization with pixel-wise background classification S Kang, J Choo, J Chang Proceedings of the NIPS 17, 2017 | 15 | 2017 |
| Towards objective-tailored genetic improvement through large language models S Kang, S Yoo 2023 IEEE/ACM International Workshop on Genetic Improvement (GI), 19-20, 2023 | 14 | 2023 |
| Evaluating diverse large language models for automatic and general bug reproduction S Kang, J Yoon, N Askarbekkyzy, S Yoo IEEE Transactions on Software Engineering, 2024 | 12 | 2024 |
| The github recent bugs dataset for evaluating llm-based debugging applications JY Lee, S Kang, J Yoon, S Yoo 2024 IEEE Conference on Software Testing, Verification and Validation (ICST …, 2024 | 12 | 2024 |
| Deceiving humans and machines alike: Search-based test input generation for dnns using variational autoencoders S Kang, R Feldt, S Yoo ACM Transactions on Software Engineering and Methodology 33 (4), 1-24, 2024 | 5 | 2024 |
| Glad: Neural predicate synthesis to repair omission faults S Kang, S Yoo 2023 IEEE/ACM 45th International Conference on Software Engineering …, 2023 | 4 | 2023 |
| Identifying inaccurate descriptions in llm-generated code comments via test execution S Kang, L Milliken, S Yoo arXiv preprint arXiv:2406.14836, 2024 | 2 | 2024 |
| Microcellular sensing media with ternary transparency states for fast and intuitive identification of unknown liquids KM Song, S Kim, S Kang, TW Nam, GY Kim, H Lim, EN Cho, KH Kim, ... Science Advances 7 (38), eabg8013, 2021 | 2 | 2021 |
| Beyond pip install: Evaluating LLM Agents for the Automated Installation of Python Projects L Milliken, S Kang, S Yoo arXiv preprint arXiv:2412.06294, 2024 | 1 | 2024 |
| COSMosFL: Ensemble of Small Language Models for Fault Localisation H Cho, S Kang, G An, S Yoo arXiv preprint arXiv:2502.02908, 2025 | | 2025 |
| Can We Predict the Effect of Prompts? JY Lee, S Kang, S Yoo arXiv preprint arXiv:2501.18883, 2025 | | 2025 |
| Lachesis: Predicting LLM Inference Accuracy using Structural Properties of Reasoning Paths N Kim, S Kang, G An, S Yoo arXiv preprint arXiv:2412.08281, 2024 | | 2024 |
Shin YooKorea Advanced Institute of Science and TechnologyEmail confirmado em kaist.ac.kr