Sungmin Kang - RankMe

60 papers A* 3A 4B 1Journal 39Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Dynamic scale position embedding for cross-modal representation learning. Neural Networks Jungkyoo Shin, Sungmin Kang, Yoonsik Cho, Eunwoo Kim
2026	A*	`conf`	GEM: A Scale-Aware and Distribution-Sensitive Sparse Fine-Tuning Framework for Effective Downstream Adaptation. AAAI Sungmin Kang, Jisoo Kim, Salman Avestimehr, Sunwoo Lee
2026	J	`jnl`	VeriGrey: Greybox Agent Validation. CoRR Yuntong Zhang, Sungmin Kang, Ruijie Meng, Marcel Böhme, Abhik Roychoudhury
2025	J	`jnl`	AutoCodeSherpa: Symbolic Explanations in AI Coding Agents. CoRR Sungmin Kang, Haifeng Ruan, Abhik Roychoudhury
2025	A	`conf`	Beyond pip Install: Evaluating LLM Agents for the Automated Installation of Python Projects. SANER Louis Milliken, Sungmin Kang, Shin Yoo
2025	—	`conf`	COSMosFL: Ensemble of Small Language Models for Fault Localisation. LLM4Code@ICSE Hyunjoon Cho, Sungmin Kang, Gabin An, Shin Yoo
2025	J	`jnl`	COSMosFL: Ensemble of Small Language Models for Fault Localisation. CoRR Hyunjoon Cho, Sungmin Kang, Gabin An, Shin Yoo
2025	J	`jnl`	Can We Predict the Effect of Prompts? CoRR Jae Yong Lee, Sungmin Kang, Shin Yoo
2025	J	`jnl`	Explainable automated debugging via large language model-driven scientific debugging. Empir. Softw. Eng. Sungmin Kang, Bei Chen, Shin Yoo, Jian-Guang Lou
2025	J	`jnl`	Finding the Needle in the Crash Stack: Industrial-Scale Crash Root Cause Localization with AutoCrashFL. CoRR Sungmin Kang, Sumi Yun, Jingun Hong, Shin Yoo, Gabin An
2025	J	`jnl`	GEM: A Scale-Aware and Distribution-Sensitive Sparse Fine-Tuning Framework for Effective Downstream Adaptation. CoRR Sungmin Kang, Jisoo Kim, Salman Avestimehr, Sunwoo Lee
2025	—	`conf`	Lachesis: Predicting LLM Inference Accuracy using Structural Properties of Reasoning Paths. DeepTest Naryeong Kim, Sungmin Kang, Gabin An, Shin Yoo
2025	J	`jnl`	Layer-wise Update Aggregation with Recycling for Communication-Efficient Federated Learning. CoRR Jisoo Kim, Sungmin Kang, Sunwoo Lee
2025	—	`conf`	Predictive Prompt Analysis. SIGSOFT FSE Companion Jae Yong Lee, Sungmin Kang, Shin Yoo
2025	—	`conf`	Reconsidering LLM Uncertainty Estimation Methods in the Wild. ACL (1) Yavuz Faruk Bakman, Duygu Nur Yaldiz, Sungmin Kang, Tuo Zhang, Baturalp Buyukates, Salman Avestimehr, Sai Praneeth Karimireddy
2025	J	`jnl`	Reconsidering LLM Uncertainty Estimation Methods in the Wild. CoRR Yavuz Faruk Bakman, Duygu Nur Yaldiz, Sungmin Kang, Tuo Zhang, Baturalp Buyukates, Salman Avestimehr, Sai Praneeth Karimireddy
2025	—	`conf`	TruthTorchLM: A Comprehensive Library for Predicting Truthfulness in LLM Outputs. EMNLP (System Demonstrations) Duygu Nur Yaldiz, Yavuz Faruk Bakman, Sungmin Kang, Alperen Özis, Hayrettin Eren Yildiz, Mitash Ashish Shah, Zhiqi Huang, Anoop Kumar, Alfy Samuel, Daben Liu, Sai Praneeth Karimireddy, Salman Avestimehr
2025	J	`jnl`	TruthTorchLM: A Comprehensive Library for Predicting Truthfulness in LLM Outputs. CoRR Duygu Nur Yaldiz, Yavuz Faruk Bakman, Sungmin Kang, Alperen Özis, Hayrettin Eren Yildiz, Mitash Ashish Shah, Zhiqi Huang, Anoop Kumar, Alfy Samuel, Daben Liu, Sai Praneeth Karimireddy, Salman Avestimehr
2025	J	`jnl`	Uncertainty Quantification for Hallucination Detection in Large Language Models: Foundations, Methodology, and Future Directions. CoRR Sungmin Kang, Yavuz Faruk Bakman, Duygu Nur Yaldiz, Baturalp Buyukates, Salman Avestimehr
2025	J	`jnl`	Uncertainty as Feature Gaps: Epistemic Uncertainty Quantification of LLMs in Contextual Question-Answering. CoRR Yavuz Faruk Bakman, Sungmin Kang, Zhiqi Huang, Duygu Nur Yaldiz, Catarina G. Belém, Chenyang Zhu, Anoop Kumar, Alfy Samuel, Salman Avestimehr, Daben Liu, Sai Praneeth Karimireddy
2024	J	`jnl`	A Quantitative and Qualitative Evaluation of LLM-Based Explainable Fault Localization. Proc. ACM Softw. Eng. Sungmin Kang, Gabin An, Shin Yoo
2024	A	`conf`	Advancing Medical Image Segmentation: Morphology-Driven Learning with Diffusion Transformer. BMVC Sungmin Kang, Jaeha Song, Jihie Kim
2024	J	`jnl`	Advancing Medical Image Segmentation: Morphology-Driven Learning with Diffusion Transformer. CoRR Sungmin Kang, Jaeha Song, Jihie Kim
2024	J	`jnl`	Advancing Tinnitus Therapeutics: GPT-2 Driven Clustering Analysis of Cognitive Behavioral Therapy Sessions and Google T5-Based Predictive Modeling for THI Score Assessment. IEEE Access Yongwoo Jeong, Jae-Jun Song, Jiseon Yang, Sungmin Kang
2024	J	`jnl`	Beyond pip install: Evaluating LLM Agents for the Automated Installation of Python Projects. CoRR Louis Milliken, Sungmin Kang, Shin Yoo
2024	J	`jnl`	Deceiving Humans and Machines Alike: Search-based Test Input Generation for DNNs Using Variational Autoencoders. ACM Trans. Softw. Eng. Methodol. Sungmin Kang, Robert Feldt, Shin Yoo
2024	J	`jnl`	Evaluating Diverse Large Language Models for Automatic and General Bug Reproduction. IEEE Trans. Software Eng. Sungmin Kang, Juyeon Yoon, Nargiz Askarbekkyzy, Shin Yoo
2024	J	`jnl`	Identifying Inaccurate Descriptions in LLM-generated Code Comments via Test Execution. CoRR Sungmin Kang, Louis Milliken, Shin Yoo
2024	J	`jnl`	Lachesis: Predicting LLM Inference Accuracy using Structural Properties of Reasoning Paths. CoRR Naryeong Kim, Sungmin Kang, Gabin An, Shin Yoo
2024	A	`conf`	The GitHub Recent Bugs Dataset for Evaluating LLM-Based Debugging Applications. ICST Jae Yong Lee, Sungmin Kang, Juyeon Yoon, Shin Yoo
2023	A	`conf`	A Bayesian Framework for Automated Debugging. ISSTA Sungmin Kang, Wonkeun Choi, Shin Yoo
2023	J	`jnl`	A Preliminary Evaluation of LLM-Based Fault Localization. CoRR Sungmin Kang, Gabin An, Shin Yoo
2023	J	`jnl`	Arachne: Search-Based Repair of Deep Neural Networks. ACM Trans. Softw. Eng. Methodol. Jeongju Sohn, Sungmin Kang, Shin Yoo
2023	—	`conf`	DAQS: Dynamic and Accurate QoS for SR-IOV. ICTC Sungmin Kang, Joonyong Hwang, Younghoon Kim
2023	J	`jnl`	Evaluating Diverse Large Language Models for Automatic and General Bug Reproduction. CoRR Sungmin Kang, Juyeon Yoon, Nargiz Askarbekkyzy, Shin Yoo
2023	J	`jnl`	Explainable Automated Debugging via Large Language Model-driven Scientific Debugging. CoRR Sungmin Kang, Bei Chen, Shin Yoo, Jian-Guang Lou
2023	—	`conf`	GLAD: Neural Predicate Synthesis to Repair Omission Faults. ICSE Companion Sungmin Kang, Shin Yoo
2023	A*	`conf`	Large Language Models are Few-shot Testers: Exploring LLM-based General Bug Reproduction. ICSE Sungmin Kang, Juyeon Yoon, Shin Yoo
2023	J	`jnl`	The GitHub Recent Bugs Dataset for Evaluating LLM-based Debugging Applications. CoRR Jae Yong Lee, Sungmin Kang, Juyeon Yoon, Shin Yoo
2023	A*	`conf`	Towards Autonomous Testing Agents via Conversational Large Language Models. ASE Robert Feldt, Sungmin Kang, Juyeon Yoon, Shin Yoo
2023	J	`jnl`	Towards Autonomous Testing Agents via Conversational Large Language Models. CoRR Robert Feldt, Sungmin Kang, Juyeon Yoon, Shin Yoo
2023	B	`conf`	Towards Objective-Tailored Genetic Improvement Through Large Language Models. GI Sungmin Kang, Shin Yoo
2023	J	`jnl`	Towards Objective-Tailored Genetic Improvement Through Large Language Models. CoRR Sungmin Kang, Shin Yoo
2022	J	`jnl`	A Bayesian Framework for Automated Debugging. CoRR Sungmin Kang, Wonkeun Choi, Shin Yoo
2022	J	`jnl`	GLAD: Neural Predicate Synthesis to Repair Omission Faults. CoRR Sungmin Kang, Shin Yoo
2022	—	`conf`	Language Models Can Prioritize Patches for Practical Program Patching. APR@ICSE Sungmin Kang, Shin Yoo
2022	J	`jnl`	Large Language Models are Few-shot Testers: Exploring LLM-based General Bug Reproduction. CoRR Sungmin Kang, Juyeon Yoon, Shin Yoo
2020	—	`conf`	SINVAD: Search-based Image Space Navigation for DNN Image Classifier Test Input Generation. ICSE (Workshops) Sungmin Kang, Robert Feldt, Shin Yoo
2020	J	`jnl`	SINVAD: Search-based Image Space Navigation for DNN Image Classifier Test Input Generation. CoRR Sungmin Kang, Robert Feldt, Shin Yoo
2019	J	`jnl`	Search Based Repair of Deep Neural Networks. CoRR Jeongju Sohn, Sungmin Kang, Shin Yoo
2018	J	`jnl`	An Interactive Multiobjective Optimization Approach to Supplier Selection and Order Allocation Problems Using the Concept of Desirability. Inf. Pyoungsoo Lee, Sungmin Kang
2018	J	`jnl`	Interpreting Models by Allowing to Ask. CoRR Sungmin Kang, David Keetae Park, Jaehyuk Chang, Jaegul Choo
2016	J	`jnl`	A Rapid Sensors Sungmin Kang, Sung-Chan Jang, Gi Yong Kim, Chang-Soo Lee, Yun Suk Huh, Chang Hyun Roh
2016	—	`conf`	An efficient parallel graph clustering technique using Pregel. BigComp Seok-Joo Lee, Sungmin Kang, Hongyeon Kim, Jun-Ki Min
2016	J	`jnl`	The Efficient Algorithms for Constructing Enhanced Quadtrees Using MapReduce. IEICE Trans. Inf. Syst. Hongyeon Kim, Sungmin Kang, Seok-Joo Lee, Jun-Ki Min
2013	J	`jnl`	Smartphone Banking: The Factors Influencing the Intention to Use. KSII Trans. Internet Inf. Syst. JinBaek Kim, Sungmin Kang, Hoon S. Cha
2006	—	`conf`	Ensuring Privacy in Smartcard-Based Payment Systems: A Case Study of Public Metro Transit Systems. Communications and Multimedia Security Seng-Phil Hong, Sungmin Kang
2006	J	`jnl`	Personalized recommendation system based on product specification values. Expert Syst. Appl. Sang Hyun Choi, Sungmin Kang, Young Jun Jeon
1998	—	`conf`	Adoption of the Internet and the Information Superhighway for Electronic Commerce. HICSS (4) Sungmin Kang
1998	—	`conf`	Information Technology Acceptance: Evolving with the Changes in the Network Environment. HICSS (1) Sungmin Kang