Publications

Peer-reviewed papers in international journals, conferences, and domestic venues.

International Journals & Conferences

2026

AACL-IJCNLP 2026 (Findings)
Grounded Revision vs. Prior Injection: Probing Retrieval-Augmented Patent Claim Amendment

Leo, J. M., Min, H. S., Jang, Y., Zidny, I., Chung, J. W., & Choi, S.

LLMPatentRAG
SIGIR 2026
T-RADAR: Simulating Trademark Examination as an Interactive Retrieval Interface for Conflict Risk Assessment

Seo, Y., Lee, N., Min, H. S., & Choi, S.

Information RetrievalTrademarkLLM Agent
Neurocomputing
Controlling augmentations for balancing invariance and diversification in one-shot image classification

Jung, K., Seo, Y., Jung, Y., Cho, S., Min, H. S., Choi, S., & Kim, J.

Diffusion ModelData AugmentationFew-shot Learning
Array
Stamp removal from real documents: A diffusion-based approach with EA-RMSE evaluation

Lee, S., Lee, N., Baek, J., Min, H. S., Choi, S., & Hwang, S.

Diffusion ModelDocument AI
AAAI 2026 Workshop
Soft Filtering: Guiding Zero-shot Composed Image Retrieval with Prescriptive and Proscriptive Constraints

Jung, Y., Cho, S., Min, H. S., & Choi, S.

Vision-LanguageImage RetrievalMLLM
AAAI 2026 Workshop (Oral)
STELLAR: Scene Text Editor for Low-Resource Languages and Real-World Data

Seo, Y., Min, H. S., & Choi, S.

CODE Scene Text EditingDiffusion ModelLow-Resource Languages

2025

IEEE Access
NLLP @ EMNLP 2025
AAAI 2025 Workshop
Multi-LLM Collaborative Caption Generation in Scientific Documents

Kim, J., Lee, J., Choi, H.-J., Hsu, T.-Y., Huang, C.-Y., Kim, S., Rossi, R., Yu, T., Giles, C. L., Huang, T.-H. K., & Choi, S.

CODE LLMScientific DocumentCaption Generation

2024

ECCV 2024 Workshop
Self-Accumulative Vision Transformer for Bone Age Assessment Using the Sauvegrain Method

Choi, H.-J., Na, D., Cho, K., Bae, B., Kong, S. T., Ahn, H., Choi, S., & Kim, J.

Vision TransformerMedical AI
ASRM 2024
ECCV 2024 Workshop
DALDA: Data Augmentation Leveraging Diffusion Model and LLM with Adaptive Guidance Scaling

Jung, K., Seo, Y., Cho, S., Kim, J., Min, H. S., & Choi, S.

CODE Diffusion ModelLLMData Augmentation

2023

EACL 2023 (Findings)
Bag of Tricks for In-Distribution Calibration of Pretrained Transformers

Kim, J., Na, D., Choi, S., & Lim, S.

NLPTransformersCalibration
BMVC 2023
Improving Out-of-Distribution Detection Performance using Synthetic Outlier Exposure Generated by Visual Foundation Models

Kwon, G., Kim, J., Choi, H.-J., Yoon, B. M., Choi, S., & Jung, K.-H.

CODE OOD DetectionDiffusion ModelVision
ACL 2023 (Findings)
Pseudo Outlier Exposure for Out-of-Distribution Detection using Pretrained Transformers

Kim, J., Jung, K., Na, D., Jang, S., Park, E., and Choi, S.

NLPTransformersOOD Detection

2022

Scientometrics
A two-stage deep learning-based system for patent citation recommendation

Choi, J., Lee, J., Yoon, J., Jang, S., Kim, J. and Choi, S.

NLPPatent

2021

Technology, Knowledge & Learning
Computers in Industry
Machine learning approach to analyze the status of forklift vehicles with irregular movement in a shipyard

Lee, H., Lee, J., An, M., Park, G. and Choi, S.

Smart ManufacturingAI Application

2020

Scientometrics
Patent document clustering with deep embeddings

Kim, J., Yoon, J., Park, E. and Choi, S.

NLPPatent
Neurocomputing
Text Classification using Capsules

Kim, J., Jang, S., Park, E. and Choi, S.

Domestic Journals & Conferences (국내 논문)

산업기술연구2025
컨테이너 터미널의 작업 부하 균등화: 시스템 로직 투명성의 역할

장예훈, 김소정, 이가경, 김태희, 최성철, 고성길, 유태선

Smart LogisticsAI Application
한국정보과학회2025
특허 청구항 해석 지원 정보 보존을 위한 청구항 기반 추출적 요약

이채원, 장예훈, 최성철

NLPPatent
Brain, Digital, & Learning2023
Development of an unsupervised learning-based automated evaluation system of descriptive assessment

하민수, 최진선, 임다니엘, 최성철, 주재걸, 신철균, 박지선

NLPEducation AI
한국정보과학회2023
태스크 유형 기반 프롬프트 선택 시스템: 다중 태스크를 위한 단일 지시 학습 모델 프롬프트 엔지니어링 기법

장예훈, 최성철

NLPLLMPrompt Engineering
마케팅관리연구2022
현장과학교육2019
학습 지원 도구로서의 서술형 평가 그리고 인공지능의 활용: WA3I 프로젝트 사례

하민수, 이경건, 신세인, 이준기, 최성철, 주재걸, 김남형, 이현주, 이종호, 이주림, 조용장, 강경필, 박지선

NLPEducation AI