Detection of Content Changes Based on Deep Neural Networks. - Noo-Ri Kim; YunSeok Choi; HyunSoo Lee; Jee-Hyong Lee 001 (CSA/CUTE, 2016)

Recurrent Neural Network for Storytelling. - YunSeok Choi; Suah Kim; Jee-Hyong Lee 001 (SCIS&ISIS, 2016)

Abstractive summarization by neural attention model with document content memory. - YunSeok Choi; Dahae Kim; Jee-Hyong Lee 001 (RACS, 2018)

Detection of document modification based on deep neural networks. - Noo-Ri Kim; YunSeok Choi; HyunSoo Lee; Jae-Young Choi; Suntae Kim; Jeong-Ah Kim; YoungWha Cho; Jee-Hyong Lee 001 (J. Ambient Intell. Humaniz. Comput., 2018)

Source Code Summarization Using Attention-Based Keyword Memory Networks. - YunSeok Choi; Suah Kim; Jee-Hyong Lee 001 (BigComp, 2020)

Attention history-based attention for abstractive text summarization. - HyunSoo Lee; YunSeok Choi; Jee-Hyong Lee 001 (SAC, 2020)

Neural attention model with keyword memory for abstractive document summarization. - YunSeok Choi; Dahae Kim; Jee-Hyong Lee 001 (Concurr. Comput. Pract. Exp., 2020)

Learning Sequential and Structural Information for Source Code Summarization. - YunSeok Choi; JinYeong Bak; CheolWon Na; Jee-Hyong Lee 001 (ACL/IJCNLP (Findings), 2021)

An embedding method for unseen words considering contextual information and morphological information. - Min-Sub Won; YunSeok Choi; Samuel Kim; CheolWon Na; Jee-Hyong Lee 001 (SAC, 2021)

TABS: Efficient Textual Adversarial Attack for Pre-trained NL Code Model Using Semantic Beam Search. - YunSeok Choi; Hyojun Kim; Jee-Hyong Lee 001 (EMNLP, 2022)

IA-BERT: context-aware sarcasm detection by incorporating incongruity attention layer for feature extraction. - Ida Ayu Putu Ari Crisdayanti; JinYeong Bak; YunSeok Choi; Jee-Hyong Lee 001 (SAC, 2022)

CodePrompt: Task-Agnostic Prefix Tuning for Program and Language Generation. - YunSeok Choi; Jee-Hyong Lee 001 (ACL (Findings), 2023)

BLOCSUM: Block Scope-based Source Code Summarization via Shared Block Representation. - YunSeok Choi; Hyojun Kim; Jee-Hyong Lee 001 (ACL (Findings), 2023)

DIP: Dead code Insertion based Black-box Attack for Programming Language Model. - CheolWon Na; YunSeok Choi; Jee-Hyong Lee 001 (ACL (1), 2023)

LOAM: Improving Long-tail Session-based Recommendation via Niche Walk Augmentation and Tail Session Mixup. - Heeyoon Yang; YunSeok Choi; Gahyung Kim; Jee-Hyong Lee 001 (SIGIR, 2023)

READSUM: Retrieval-Augmented Adaptive Transformer for Source Code Summarization. - YunSeok Choi; CheolWon Na; Hyojun Kim; Jee-Hyong Lee 001 (IEEE Access, 2023)

Code Defect Detection Using Pre-trained Language Models with Encoder-Decoder via Line-Level Defect Localization. - Jimin An; YunSeok Choi; Jee-Hyong Lee 001 (LREC/COLING, 2024)

Representative Item Summarization Prompting for LLM-based Sequential Recommendation. - HanBeul Kim; CheolWon Na; YunSeok Choi; Jee-Hyong Lee 001 (SCIS/ISIS, 2024)

DCG-SQL: Enhancing In-Context Learning for Text-to-SQL with Deep Contextual Schema Link Graph. - Jihyung Lee; Jin-Seop Lee; Jaehoon Lee; YunSeok Choi; Jee-Hyong Lee 001 (ACL (1), 2025)

SALAD: Improving Robustness and Generalization through Contrastive Learning with Structure-Aware and LLM-Driven Augmented Data. - Suyoung Bae; YunSeok Choi; Hyojun Kim; Jee-Hyong Lee 001 (NAACL (Long Papers), 2025)

DeCAP: Context-Adaptive Prompt Generation for Debiasing Zero-shot Question Answering in Large Language Models. - Suyoung Bae; YunSeok Choi; Jee-Hyong Lee 001 (NAACL (Long Papers), 2025)

CoRAC: Integrating Selective API Document Retrieval with Question Semantic Intent for Code Question Answering. - YunSeok Choi; CheolWon Na; Jee-Hyong Lee 001 (NAACL (Long Papers), 2025)

Q-FAKER: Query-free Hard Black-box Attack via Controlled Generation. - CheolWon Na; YunSeok Choi; Jee-Hyong Lee 001 (NAACL (Findings), 2025)