Sungmin Kang

Orcid: 0000-0002-0298-5320

According to our database1, Sungmin Kang authored at least 38 papers between 1998 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
AutoCodeSherpa: Symbolic Explanations in AI Coding Agents.
CoRR, July, 2025

TruthTorchLM: A Comprehensive Library for Predicting Truthfulness in LLM Outputs.
CoRR, July, 2025

Explainable automated debugging via large language model-driven scientific debugging.
Empir. Softw. Eng., March, 2025

Layer-wise Update Aggregation with Recycling for Communication-Efficient Federated Learning.
CoRR, March, 2025

Can We Predict the Effect of Prompts?
CoRR, January, 2025

Predictive Prompt Analysis.
Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering, 2025

Beyond pip Install: Evaluating LLM Agents for the Automated Installation of Python Projects.
Proceedings of the IEEE International Conference on Software Analysis, 2025

COSMosFL: Ensemble of Small Language Models for Fault Localisation.
Proceedings of the IEEE/ACM International Workshop on Large Language Models for Code, 2025

Lachesis: Predicting LLM Inference Accuracy using Structural Properties of Reasoning Paths.
Proceedings of the IEEE/ACM International Workshop on Deep Learning for Testing and Testing for Deep Learning, 2025

Reconsidering LLM Uncertainty Estimation Methods in the Wild.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
Evaluating Diverse Large Language Models for Automatic and General Bug Reproduction.
IEEE Trans. Software Eng., October, 2024

Deceiving Humans and Machines Alike: Search-based Test Input Generation for DNNs Using Variational Autoencoders.
ACM Trans. Softw. Eng. Methodol., May, 2024

A Quantitative and Qualitative Evaluation of LLM-Based Explainable Fault Localization.
Proc. ACM Softw. Eng., 2024

Identifying Inaccurate Descriptions in LLM-generated Code Comments via Test Execution.
CoRR, 2024

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, 2024

The GitHub Recent Bugs Dataset for Evaluating LLM-Based Debugging Applications.
Proceedings of the IEEE Conference on Software Testing, Verification and Validation, 2024

Advancing Medical Image Segmentation: Morphology-Driven Learning with Diffusion Transformer.
Proceedings of the 35th British Machine Vision Conference, 2024

2023
Arachne: Search-Based Repair of Deep Neural Networks.
ACM Trans. Softw. Eng. Methodol., July, 2023

A Preliminary Evaluation of LLM-Based Fault Localization.
CoRR, 2023

Towards Autonomous Testing Agents via Conversational Large Language Models.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

A Bayesian Framework for Automated Debugging.
Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

DAQS: Dynamic and Accurate QoS for SR-IOV.
Proceedings of the 14th International Conference on Information and Communication Technology Convergence, 2023

Large Language Models are Few-shot Testers: Exploring LLM-based General Bug Reproduction.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

GLAD: Neural Predicate Synthesis to Repair Omission Faults.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: ICSE 2023 Companion Proceedings, 2023

Towards Objective-Tailored Genetic Improvement Through Large Language Models.
Proceedings of the IEEE/ACM International Workshop on Genetic Improvement, 2023

2022
Language Models Can Prioritize Patches for Practical Program Patching.
Proceedings of the 3rd IEEE/ACM International Workshop on Automated Program Repair, 2022

2020
SINVAD: Search-based Image Space Navigation for DNN Image Classifier Test Input Generation.
Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Workshops, Seoul, Republic of Korea, 27 June, 2020

2019
Search Based Repair of Deep Neural Networks.
CoRR, 2019

2018
An Interactive Multiobjective Optimization Approach to Supplier Selection and Order Allocation Problems Using the Concept of Desirability.
Inf., 2018

Interpreting Models by Allowing to Ask.
CoRR, 2018

2016
A Rapid <i>In Situ</i> Colorimetric Assay for Cobalt Detection by the Naked Eye.
Sensors, 2016

The Efficient Algorithms for Constructing Enhanced Quadtrees Using MapReduce.
IEICE Trans. Inf. Syst., 2016

An efficient parallel graph clustering technique using Pregel.
Proceedings of the 2016 International Conference on Big Data and Smart Computing, 2016

2013
Smartphone Banking: The Factors Influencing the Intention to Use.
KSII Trans. Internet Inf. Syst., 2013

2006
Personalized recommendation system based on product specification values.
Expert Syst. Appl., 2006

Ensuring Privacy in Smartcard-Based Payment Systems: A Case Study of Public Metro Transit Systems.
Proceedings of the Communications and Multimedia Security, 2006

1998
Adoption of the Internet and the Information Superhighway for Electronic Commerce.
Proceedings of the Thirty-First Annual Hawaii International Conference on System Sciences, 1998

Information Technology Acceptance: Evolving with the Changes in the Network Environment.
Proceedings of the Thirty-First Annual Hawaii International Conference on System Sciences, 1998


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