Publications

2026

GRAIN: Detecting AI-Generated News via Article-Level Structure, Youjin Lee, Chaewon Kang, YunSeok Choi, Jinyoung Han, CIKM 2026 Short Paper (Top-tier AI Conference)

First News Report Retrieval for Short-Form Videos, Kyutae Kim, Dohun Kim, Taesoo Park, YunSeok Choi, CIKM 2026 Short Paper (Top-tier AI Conference)

SCENE: A Scenario Completion Benchmark for Measuring Social Bias in Large Language Models, Migyeong Kang, Aecheon Jung, Eunchae Jang, Minseok Kim, S. Shyam Sundar, Sungeun Hong†, YunSeok Choi†, Jinyoung Han†, EMNLP 2026 Findings (Top-tier AI Conference)

InterventionBench: Can LLM Agents Adapt to Mid-task User Interventions?, Jaehoon Lee, Suyoung Bae, Jin-Seop Lee, YunSeok Choi†, Jee-Hyong Lee†, EMNLP 2026 Findings (Top-tier AI Conference)

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

UCGRec: User-Centric Graph Learning for LLM-based Sequential Recommendation, HanBeul Kim, CheolWon Na, Suyoung Bae, YunSeok Choi†, Jee-Hyong Lee†, ACL 2026 Findings (Top-tier AI Conference)

ReFEree: Reference-Free and Fine-Grained Method for Evaluating Factual Consistency in Real-World Code Summarization, Suyoung Bae, CheolWon Na, Jaehoon Lee, Yumin Lee, YunSeok Choi†, Jee-Hyong Lee†, ACL 2026 (Top-tier AI Conference)

EXPO-SQL: Execution-based Clause-level Policy Optimization for Text-to-SQL, Jaehoon Lee, CheolWon Na, Suyoung Bae, Jin-Seop Lee, Jihyung Lee, YunSeok Choi†, Jee-Hyong Lee†, ACL 2026 Findings (Top-tier AI Conference)

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