| 2026 | AAAI | Easy to Learn, Yet Hard to Forget: Towards Robust Unlearning Under Bias. | JuneHyoung Kwon, MiHyeon Kim, Eunju Lee, Yoonji Lee, Seunghoon Lee, YoungBin Kim |
| 2026 | AAAI | RefLens: End-to-End Evidence-Grounded Citation Verification with LLM Agents. | Seunghoo Lee, JuneHyoung Kwon, Jooweon Choi, JungMin Yun, Seunguk Yu, Yoonji Lee, Jinhee Jang, YoungBin Kim |
| 2026 | ACL | FairQE: Multi-Agent Framework for Mitigating Gender Bias in Translation Quality Estimation. | Jinhee Jang, Juhwan Choi, Dongjin Lee, Seunguk Yu, YoungBin Kim |
| 2026 | ACL | Before Forgetting, Learn to Remember: Revisiting Foundational Learning Failures in LVLM Unlearning Benchmarks. | Junehyoung Kwon, MiHyeon Kim, Eunju Lee, JungMin Yun, Byeonggeuk Lim, YoungBin Kim |
| 2026 | ACL | Aligning with Your Own Voice: Self-Corrected Preference Learning for Hallucination Mitigation in LVLMs. | Byeonggeuk Lim, JungMin Yun, Junehyoung Kwon, Kyeonghyun Kim, YoungBin Kim |
| 2026 | ACL | IterCOMP: Reasoning-aware Adaptive Prompt Compression for Multi-hop Question Answering. | JungMin Yun, YoungBin Kim |
| 2026 | EACL | Position Paper: How Should We Responsibly Adopt LLMs in the Peer Review Process? | Juhwan Choi, JungMin Yun, Changhun Kim, YoungBin Kim |
| 2025 | AAAI | SummPilot: Bridging Efficiency and Customization for Interactive Summarization System. | Jungmin Yun, Juhwan Choi, Kyohoon Jin, Soojin Jang, Jinhee Jang, YoungBin Kim |
| 2025 | ACL | Plug-in and Fine-tuning: Bridging the Gap between Small Language Models and Large Language Models. | Kyeonghyun Kim, Jinhee Jang, Juhwan Choi, Yoonji Lee, Kyohoon Jin, YoungBin Kim |
| 2025 | ACL | Delving into Multilingual Ethical Bias: The MSQAD with Statistical Hypothesis Tests for Large Language Models. | Seunguk Yu, Juhwan Choi, YoungBin Kim |
| 2025 | ACL | Making Sense of Korean Sentences: A Comprehensive Evaluation of LLMs through KoSEnd Dataset. | Seunguk Yu, Kyeonghyun Kim, Jungmin Yun, YoungBin Kim |
| 2025 | EMNLP | LLM Agents at the Roundtable: A Multi-Perspective and Dialectical Reasoning Framework for Essay Scoring. | Jinhee Jang, Ayoung Moon, Minkyoung Jung, YoungBin Kim, Seung Jin Lee |
| 2025 | EMNLP | CoBA: Counterbias Text Augmentation for Mitigating Various Spurious Correlations via Semantic Triples. | Kyohoon Jin, Juhwan Choi, Jungmin Yun, Junho Lee, Soojin Jang, YoungBin Kim |
| 2025 | EMNLP | Beyond Single-User Dialogue: Assessing Multi-User Dialogue State Tracking Capabilities of Large Language Models. | Sangmin Song, Juhwan Choi, JungMin Yun, YoungBin Kim |
| 2025 | EMNLP | From Ground Trust to Truth: Disparities in Offensive Language Judgments on Contemporary Korean Political Discourse. | Seunguk Yu, JungMin Yun, Jinhee Jang, YoungBin Kim |
| 2025 | ICCV | VolDoGER: LLM-Assisted Datasets for Domain Generalization in Vision-Language Tasks. | Juhwan Choi, Junehyoung Kwon, Jungmin Yun, Seunguk Yu, YoungBin Kim |
| 2025 | MICCAI | XTag-CLIP: Robust and Reliable Thyroid Scar Analysis with Limited Data via Cross-Attention. | Eunju Lee, SeungHoon Lee, YoungBin Kim, Jong-hyuk Ahn |
| 2025 | NAACL | See-Saw Modality Balance: See Gradient, and Sew Impaired Vision-Language Balance to Mitigate Dominant Modality Bias. | Junehyoung Kwon, Mihyeon Kim, Eunju Lee, Juhwan Choi, YoungBin Kim |
| 2024 | EACL | AutoAugment Is What You Need: Enhancing Rule-based Augmentation Methods in Low-resource Regimes. | Juhwan Choi, Kyohoon Jin, Junho Lee, Sangmin Song, YoungBin Kim |
| 2024 | EACL | GPTs Are Multilingual Annotators for Sequence Generation Tasks. | Juhwan Choi, Eunju Lee, Kyohoon Jin, YoungBin Kim |
| 2024 | EMNLP | IM-BERT: Enhancing Robustness of BERT through the Implicit Euler Method. | Mihyeon Kim, Juhyoung Park, YoungBin Kim |
| 2024 | ICLR | Colorful Cutout: Enhancing Image Data Augmentation with Curriculum Learning. | Juhwan Choi, YoungBin Kim |
| 2024 | ICLR | Adverb Is the Key: Simple Text Data Augmentation with Adverb Deletion. | Juhwan Choi, YoungBin Kim |
| 2024 | NAACL | Don't be a Fool: Pooling Strategies in Offensive Language Detection from User-Intended Adversarial Attacks. | Seunguk Yu, Juhwan Choi, YoungBin Kim |
| 2024 | WACV | Learning to Detour: Shortcut Mitigating Augmentation for Weakly Supervised Semantic Segmentation. | Junehyoung Kwon, Eunju Lee, Yunsung Cho, YoungBin Kim |
| 2023 | ICLR | SoftEDA: Rethinking Rule-Based Data Augmentation with Soft Labels. | Juhwan Choi, Kyohoon Jin, Junho Lee, Sangmin Song, YoungBin Kim |
| 2023 | ICLR | Towards Robust Feature Learning with t-vFM Similarity for Continual Learning. | Bilan Gao, YoungBin Kim |