Implementation of Sitting Posture Monitoring System with Kinect. - Dong-Jun Shin; Minsang Kim; Wook Song; Se Dong Min; Min Hong (MUE/FutureTech, 2017)

Optimization of Material Properties for Coherent Behavior across Multi-resolution Cloth Models. - Nak-Jun Sung; Shane Transue; Minsang Kim; Yoo-Joo Choi; Min-Hyung Choi; Min Hong (KSII Trans. Internet Inf. Syst., 2018)

Parallel cloth simulation with effective collision detection for interactive AR application. - Minsang Kim; Nak-Jun Sung; Sang-Joon Kim; Yoo-Joo Choi; Min Hong (Multim. Tools Appl., 2019)

Machine Learning Approaches for Detecting Tropical Cyclone Formation Using Satellite Data. - Minsang Kim; Myung-Sook Park; Jungho Im; Seonyoung Park; Myong-In Lee (Remote. Sens., 2019)

ComDensE : Combined Dense Embedding of Relation-aware and Common Features for Knowledge Graph Completion. - Minsang Kim; Seungjun Baek 001 (ICPR, 2022)

Analytical Shielding Metrics-Based Shielding Configuration Guideline for ELF Magnetic Field Mitigation. - Kibeom Kim; Minsang Kim; SangWook Park (IEEE Access, 2022)

OASYS: Domain-Agnostic Automated System for Constructing Knowledge Base from Unstructured Text. - Minsang Kim; Sang-Hyun Je; Eunjoo Park (CoRR, 2022)

Persona-Knowledge Dialogue Multi-Context Retrieval and Enhanced Decoding Methods. - Min Sik Oh; Minsang Kim (CoRR, 2022)

Robust DeepFake Detection Method based on Ensemble of ViT and CNN. - Hyunsoo Ha; Minsang Kim; Songhun Han; Sangjun Lee (SAC, 2023)

QPaug: Question and Passage Augmentation for Open-Domain Question Answering of LLMs. - Minsang Kim; Cheoneum Park; Seung Baek (EMNLP (Findings), 2024)

Harnessing LLMs for VQA: A Prompted Benchmark with Animate/Inanimate Keywords. - Chanwoo Lee; Hyunjeong Lee; Minsang Kim; Hyun Kim; Haneol Jang; Cheoneum Park (ICTC, 2024)

Hierarchical Position Embedding of Graphs with Landmarks and Clustering for Link Prediction. - Minsang Kim; Seung Baek (WWW, 2024)

Hierarchical Position Embedding of Graphs with Landmarks and Clustering for Link Prediction. - Minsang Kim; Seungjun Baek 001 (CoRR, 2024)

Measuring Sample Importance in Data Pruning for Training LLMs from a Data Compression Perspective. - Minsang Kim; Seungjun Baek 001 (CoRR, 2024)

Augmenting Query and Passage for Retrieval-Augmented Generation using LLMs for Open-Domain Question Answering. - Minsang Kim; Cheoneum Park; Seungjun Baek 001 (CoRR, 2024)

Exploring Large Language Models on Cross-Cultural Values in Connection with Training Methodology. - Minsang Kim; Seungjun Baek 001 (CoRR, 2024)

SCV: Light and Effective Multi-Vector Retrieval with Sequence Compressive Vectors. - Cheoneum Park; Seohyeong Jeong; Minsang Kim; KyungTae Lim; Yong-Hun Lee (COLING (Industry), 2025)

Syntriever: How to Train Your Retriever with Synthetic Data from LLMs. - Minsang Kim; Seung Jun Baek 001 (NAACL (Findings), 2025)

AI-guided discovery and optimization of antimicrobial peptides through species-aware language model. - Daehun Bae; Minsang Kim; Jiwon Seo; Hojung Nam (Briefings Bioinform., 2025)

SeDi-Instruct: Enhancing Alignment of Language Models through Self-Directed Instruction Generation. - Jungwoo Kim; Minsang Kim; Sungjin Lee (CoRR, 2025)