publications

Research publications in Natural Language Processing, Machine Learning, and AI. Browse our latest papers, conference proceedings, and academic research contributions from our NLP research group.

2025

  1. EMNLP
    CheckEval: A reliable LLM-as-a-Judge framework for evaluating text generation using checklists
    Yukyung Lee, JoongHoon Kim, Jaehee Kim, and 4 more authors
    In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025
  2. EMNLP
    COUNTDOWN: Contextually Sparse Activation Filtering Out Unnecessary Weights in Down Projection
    Jaewon Cheon and Pilsung Kang
    In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025
  3. EMNLP Findings
    Pre-Storage Reasoning for Episodic Memory: Shifting Inference Burden to Memory for Personalized Dialogue
    Sangyeop Kim, Yohan Lee, Sanghwa Kim, and 2 more authors
    In Findings of the Association for Computational Linguistics: EMNLP 2025, 2025
  4. ACL
    Verbosity-Aware Rationale Reduction: Sentence-Level Rationale Reduction for Efficient and Effective Reasoning
    Joonwon Jang, Jaehee Kim, Wonbin Kweon, and 2 more authors
    In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics, 2025
  5. ACL
    What Really Matters in Many-Shot Attacks? An Empirical Study of Long-Context Vulnerabilities in LLMs
    Sangyeop Kim, Yohan Lee, Yongwoo Song, and 1 more author
    In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics, 2025
  6. ACL Findings
    An Empirical Study of Group Conformity in Multi-Agent Systems
    Min Choi, Keonwoo Kim, Sungwon Chae, and 1 more author
    In Findings of the Association for Computational Linguistics: ACL 2025, 2025
  7. ACL Findings
    EXPERT: An Explainable Image Captioning Evaluation Metric with Structured Explanations
    Hyunjong Kim, Sangyeop Kim, Jongheon Jeong, and 2 more authors
    In Findings of the Association for Computational Linguistics: ACL 2025, 2025
  8. ICLR
    Do You Keep an Eye on What I Ask? Mitigating Multimodal Hallucination via Attention-Guided Ensemble Decoding
    Yeongjae Cho, Keonwoo Kim, Taebaek Hwang, and 1 more author
    In International Conference on Learning Representations, 2025
  9. NAACL
    LLM-guided Plan and Retrieval: A Strategic Alignment for Interpretable User Satisfaction Estimation in Dialogue
    Sangyeop Kim, Sohhyung Park, Jaewon Jung, and 2 more authors
    In Proceedings of the 2025 Conference of the North American Chapter of the Association for Computational Linguistics, 2025
  10. NAACL Findings
    HEISIR: Hierarchical Expansion of Inverted Semantic Indexing for Training-free Retrieval of Conversational Data using LLMs
    Sangyeop Kim, Hangyeul Lee, and Yohan Lee
    In Findings of the 2025 Conference of the North American Chapter of the Association for Computational Linguistics, 2025
  11. CIKM
    Upcycling Candidate Tokens of Large Language Models for Query Expansion
    Jinseok Kim, Sukmin Cho, Soyeong Jeong, and 2 more authors
    In Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025
  12. IP&M
    Human-Guided Collective LLM Intelligence for Strategic Planning via Two-Stage Information Retrieval
    Sangyeop Kim, Junguk Ha, Hangyeul Lee, and 2 more authors
    Information Processing & Management, 2025
  13. arXiv
    CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds
    Keonwoo Kim, Yeongjae Cho, Taebaek Hwang, and 2 more authors
    arXiv preprint arXiv:2025, 2025
  14. NeurIPS
    LLM Unlearning for Removing Hazardous Knowledge
    Keonwoo Kim, Hyowon Cho, Hoki Kim, and 2 more authors
    Advances in Neural Information Processing Systems, 2025
    Under Review
  15. NeurIPS
    A Novel Optimization Algorithm for Machine Unlearning
    Hoki Kim, Keonwoo Kim, Sungwon Chae, and 1 more author
    Advances in Neural Information Processing Systems, 2025
    Under Review
  16. EMNLP
    Are Vision-Language Models Safe in the Wild? A Meme-Based Benchmark Study
    DongGeon Lee, Joonwon Jang, Jihae Jeong, and 1 more author
    In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025
  17. EMNLP Findings
    How Diversely Can Language Models Solve Problems? Exploring the Algorithmic Diversity of Model-Generated Code
    Seonghyeon Lee, HeeJae Chon, Joonwon Jang, and 2 more authors
    In Findings of the Association for Computational Linguistics: EMNLP 2025, 2025
  18. Technical Report
    EXAONE 4.0: Unified Large Language Models Integrating Non-reasoning and Reasoning Modes
    LG AI Research
    2025
  19. ACL Findings
    Verbosity-Aware Rationale Reduction: Effective Reduction of Redundant Rationale via Principled Criteria
    Joonwon Jang, Jaehee Kim, Wonbin Kweon, and 1 more author
    In Findings of the Association for Computational Linguistics: ACL 2025, 2025

2024

  1. ACL Findings
    DEBATE: Devil’s Advocate-Based Assessment and Text Evaluation
    Alex Kim, Keonwoo Kim, and Sangwon Yoon
    In Findings of the Association for Computational Linguistics: ACL 2024, 2024
  2. KnowledgeLM
    Safe-Embed: Unveiling the Safety-Critical Knowledge of Sentence Encoders
    Jinseok Kim, Jaewon Jung, Sangyeop Kim, and 2 more authors
    In KnowledgeLM Workshop at ACL 2024, 2024
  3. NeurIPS
    A Gradient Accumulation Method for Dense Retriever under Memory Constraint
    Jaehee Kim, Yukyung Lee, and Pilsung Kang
    In Advances in Neural Information Processing Systems, 2024
  4. CHI Workshop
    CheckEval: Robust Evaluation Framework using Large Language Model via Checklist
    Yukyung Lee, Joonghoon Kim, Jaehee Kim, and 2 more authors
    In CHI 2024 Workshop on Human-centered Evaluation and Auditing of Language Models, 2024
  5. EMNLP Workshop
    EPR: An Expert Behavior-enhanced Paper Ranking Framework for the Automotive Industry
    WooJoo Kim, Joonwon Jang, Jinyi Yu, and 2 more authors
    In EMNLP 2024 Workshop, 2024
  6. EMNLP Findings
    Eliciting Instruction-tuned Code Language Models’ Capabilities to Utilize Auxiliary Function for Code Generation
    Seonghyeon Lee, Suyeon Kim, Joonwon Jang, and 3 more authors
    In Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
  7. NAACL
    Rectifying Demonstration Shortcut in In-Context Learning
    Joonwon Jang, Sanghwan Jang, Wonbin Kweon, and 2 more authors
    In Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics, 2024
  8. LREC-COLING
    Hierarchical Graph Convolutional Network Approach for Detecting Low-Quality Documents
    Jaeyoung Lee, Joonwon Jang, and Misuk Kim
    In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, 2024

2023

  1. EMNLP Findings
    Boosting Prompt-Based Self-Training With Mapping-Free Automatic Verbalizer for Multi-Class Classification
    Yookyung Kho, Jaehee Kim, and Pilsung Kang
    In Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
  2. EMNLP Findings
    DRAFT: Dense Retrieval Augmented Few-shot Topic classifier framework
    Keonwoo Kim and Younggun Lee
    In Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
  3. ACL Workshop
    Painsight: An Extendable Opinion Mining Framework for Detecting Pain Points Based on Online Customer Reviews
    Yukyung Lee, Jaehee Kim, Doyoon Kim, and 3 more authors
    In ACL 2023 13th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis, 2023
  4. NeurIPS
    MEMTO: Memory-guided Transformer for Multivariate Time Series Anomaly detection
    Junho Song, Keonwoo Kim, Jeonglyul Oh, and 1 more author
    In Advances in Neural Information Processing Systems, 2023
  5. ACL Findings
    Fixed Input Parameterization for Efficient Prompting
    Eunbi Choi, Yongrae Jo, Joel Jang, and 2 more authors
    In Findings of the Association for Computational Linguistics: ACL 2023, 2023
  6. JITS
    Eco-friendly platooning operation algorithm of the autonomous vehicles
    Joonwon Jang, Sung Il Kwag, and Young Dae Ko
    Journal of Intelligent Transportation Systems: Technology, Planning, and Operations, 2023
  7. EACL Findings
    Headline Token-based Discriminative Learning for Subheading Generation in News Article
    Joonwon Jang and Misuk Kim
    In Findings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2022

  1. InterNLP
    UCDF: User-defined Content Detection Framework
    Keonwoo Kim, Sungzoon Cho, and Younggun Lee
    In InterNLP Workshop at NeurIPS 2022, 2022
  2. CVPR Workshop
    REVECA - Rich Encoder-decoder framework for Video Event CAptioner
    Jaehyuk Heo, YongGi Jeong, Sunwoo Kim, and 2 more authors
    In CVPR 2022 Workshop on LOng-form VidEo Understanding Challenge, 2022
  3. ESWA
    Detecting incongruent news headlines with auxiliary textual information
    Joonwon Jang, Minju Kim, Yoonsik Cho, and 1 more author
    Expert Systems with Applications, 2022