| 2026 | AAAI | GEM: A Scale-Aware and Distribution-Sensitive Sparse Fine-Tuning Framework for Effective Downstream Adaptation. | Sungmin Kang, Jisoo Kim, Salman Avestimehr, Sunwoo Lee |
| 2025 | ACL | Reconsidering LLM Uncertainty Estimation Methods in the Wild. | Yavuz Faruk Bakman, Duygu Nur Yaldiz, Sungmin Kang, Tuo Zhang, Baturalp Buyukates, Salman Avestimehr, Sai Praneeth Karimireddy |
| 2025 | EMNLP | TruthTorchLM: A Comprehensive Library for Predicting Truthfulness in LLM Outputs. | Duygu Nur Yaldiz, Yavuz Faruk Bakman, Sungmin Kang, Alperen zis, Hayrettin Eren Yildiz, Mitash Ashish Shah, Zhiqi Huang, Anoop Kumar, Alfy Samuel, Daben Liu, Sai Praneeth Karimireddy, Salman Avestimehr |
| 2025 | SANER | Beyond pip Install: Evaluating LLM Agents for the Automated Installation of Python Projects. | Louis Milliken, Sungmin Kang, Shin Yoo |
| 2024 | BMVC | Advancing Medical Image Segmentation: Morphology-Driven Learning with Diffusion Transformer. | Sungmin Kang, Jaeha Song, Jihie Kim |
| 2024 | ICST | The GitHub Recent Bugs Dataset for Evaluating LLM-Based Debugging Applications. | Jae Yong Lee, Sungmin Kang, Juyeon Yoon, Shin Yoo |
| 2023 | ICSE | GLAD: Neural Predicate Synthesis to Repair Omission Faults. | Sungmin Kang, Shin Yoo |
| 2023 | ICSE | Large Language Models are Few-shot Testers: Exploring LLM-based General Bug Reproduction. | Sungmin Kang, Juyeon Yoon, Shin Yoo |
| 2023 | ISSTA | A Bayesian Framework for Automated Debugging. | Sungmin Kang, Wonkeun Choi, Shin Yoo |
| 2020 | ICSE | SINVAD: Search-based Image Space Navigation for DNN Image Classifier Test Input Generation. | Sungmin Kang, Robert Feldt, Shin Yoo |