Publications

2026

Remember Your Trace: Memory-Guided Long-Horizon Agentic Framework for Consistent and Hierarchical Repository-Level Code Documentation, Suyoung Bae, Jaehoon Lee, Changkyu Choi, YunSeok Choi†, Jee-Hyong Lee†, arXiv 2026 [paper]

Can MLLMs Judge Charts? Evaluating the Reliability of MLLM-as-a-Judge in Chart Understanding, Yujin Min, Young-Jun Lee, YunSeok Choi†, KDD 2026 Workshop

PubTables-QA: A Benchmark Toward Cross-Page Table Reasoning in Table Visual Question Answering, Jiin Han, Suyoung Bae, Yerim Choi, Sangyun Lee, Kyutae Kim, RyunHo Kim, Jee-Hyong Lee, Changkyu Choi†, YunSeok Choi†, KDD 2026 Workshop

Unsupervised Detection of LLM-Generated Text in Korean Using Syntactic and Semantic Cues, Heejeong Jeon, Minsu Park, YunSeok Choi, Eunil Park†, EACL 2026 findings (Top-tier AI Conference) [paper]

2025

TAG: A Simple Yet Effective Temporal-Aware Approach for Zero-Shot Video Temporal Grounding, Jin-Seop Lee, SungJoon Lee, Jaehan Ahn, YunSeok Choi, Jee-Hyong Lee†, BMVC 2025 (Top-tier AI Conference)

RA-Touch: Retrieval-Augmented Touch Understanding with Enriched Visual Data, Yoorhim Cho*, Hongyeob Kim*, Semin Kim, Youjia Zhang, YunSeok Choi,  Sungeun Hong†, ACM MM 2025 (Top-tier AI Conference)

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†, ACL 2025 (Top-tier AI Conference)

CoRAC: Integrating Selective API Document Retrieval with Question Semantic Intent for Code Question Answering, YunSeok Choi, CheolWon Na, Jee-Hyong Lee†, NAACL 2025 (Top-tier AI Conference)

SALAD: Improving Robustness and Generalization through Contrastive Learning with Structure-Aware and LLM-Driven Augmented Data, Suyoung Bae, Hyojun Kim, YunSeok Choi†, Jee-Hyong Lee†, NAACL 2025 (Top-tier AI Conference)

DeCAP: Context-Adaptive Prompt Generation for Debiasing Zero-shot Question Answering in Large Language Models, Suyoung Bae, YunSeok Choi†, Jee-Hyong Lee†, NAACL 2025 (Top-tier AI Conference)

 Q-FAKER: Query-free Hard Black-box Attack via Controlled Generation, CheolWon Na, YunSeok Choi†, Jee-Hyong Lee†, NAACL 2025 findings (Top-tier AI Conference)

2024

Code Defect Detection using Pre-trained Language Models with Encoder-Decoder via Line-Level Defect Localization, Jimin An*, YunSeok Choi* and Jee-Hyong Lee, LREC-COLING 2024 (Top-tier AI Conference)

2023

CodePrompt: Task-Agnostic Prefix Tuning for Program and Language Generation, YunSeok Choi and Jee-Hyong Lee, ACL 2023 findings (Top-tier AI Conference)

BLOCSUM: Block Scope-based Source Code Summarization via Shared Block Representation, YunSeok Choi, Hyojun Kim, and Jee-Hyong Lee, ACL 2023 findings (Top-tier AI Conference)

DIP: Dead code Insertion based Black-box Attack for Programming Language Model, CheolWon Na, YunSeok Choi, and Jee-Hyong Lee, ACL 2023 (Top-tier AI Conference)

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

2022

TABS: Efficient Textual Adversarial Attack for Pre-trained NL Code Model Using Semantic Beam Search, YunSeok Choi, Hyojun Kim, and Jee-Hyong Lee, EMNLP 2022 (Top-tier AI Conference)

IA-BERT: Context-Aware Sarcasm Detection by Incorporating Incongruity Attention Layer for Feature Extraction, Ida Ayu Putu Ari Crisdayanti, JinYeong Bak, YunSeok Choi, and Jee-Hyong Lee, ACM-SAC 2022

2021

Learning Sequential and Structural Information for Source Code Summarization, YunSeok Choi, JinYeong Bak, CheolWon Na, and Jee-Hyong Lee, ACL 2021 findings (Top-tier AI Conference)

An Embedding Method for Unseen Words Considering Contextual Information and Morphological Information, Min-Sub Won, YunSeok Choi, Samuel Kim, CheolWon Na, and Jee-Hyong Lee, ACM-SAC 2021

2020

Attention History-Based Attention for Abstractive Text Summarization, Hyunsoo Lee, YunSeok Choi, and Jee-Hyong Lee, ACM-SAC 2020

Source Code Summarization Using Attention-Based Keyword Memory Networks, YunSeok Choi, Suah Kim, and Jee-Hyong Lee, BigComp 2020

2019

Deep Convolutional Neural Network with Autocorrelograms for Environmental Sound Classification, WonKyu Lee, YunSeok Choi, and Jee-Hyong Lee, ACAIT 2019

2018

Abstractive Summarization by Neural Attention Model with Document Content Memory, YunSeok Choi, Dahae Kim, and Jee-Hyong Lee, ACM-RACS 2018

READSUM: Retrieval-Augmented Adaptive Transformer for Source Code Summarization, YunSeok Choi, Hyojun Kim, and Jee-Hyong Lee, IEEE Access 2023 (SCIE)

Neural Attention Model with Keyword Memory for Abstractive Document Summarization, YunSeok Choi, Dahae Kim, and Jee-Hyong Lee, CCPE 2020 (SCIE)

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, and Jee-Hyong Lee, JAIHC 2018 (SCIE)

Detection of Content Changes based on Deep Neural Networks, Noo-ri Kim, YunSeok Choi, HyunSoo Lee, and Jee-Hyong Lee, SA&CUTE 2016