| 2026 | ACL | Feedback Adaptation for Retrieval-Augmented Generation. | Jihwan Bang, Seunghan Yang, Kyuhong Shim, Simyung Chang, Juntae Lee, Sungha Choi |
| 2025 | EMNLP | CIFLEX: Contextual Instruction Flow for Sub-task Execution in Multi-Turn Interactions with a Single On-Device LLM. | Juntae Lee, Jihwan Bang, Seunghan Yang, Simyung Chang |
| 2025 | EMNLP | Learning Contextual Retrieval for Robust Conversational Search. | Seunghan Yang, Juntae Lee, Jihwan Bang, Kyuhong Shim, Minsoo Kim, Simyung Chang |
| 2025 | ICLR | RA-TTA: Retrieval-Augmented Test-Time Adaptation for Vision-Language Models. | Youngjun Lee, Doyoung Kim, Junhyeok Kang, Jihwan Bang, Hwanjun Song, Jae-Gil Lee |
| 2025 | NAACL | Chain-of-Rank: Enhancing Large Language Models for Domain-Specific RAG in Edge Device. | Juntae Lee, Jihwan Bang, Kyuhong Shim, Seunghan Yang, Simyung Chang |
| 2024 | AAAI | Adaptive Shortcut Debiasing for Online Continual Learning. | Doyoung Kim, Dongmin Park, Yooju Shin, Jihwan Bang, Hwanjun Song, Jae-Gil Lee |
| 2024 | ACL | Crayon: Customized On-Device LLM via Instant Adapter Blending and Edge-Server Hybrid Inference. | Jihwan Bang, Juntae Lee, Kyuhong Shim, Seunghan Yang, Simyung Chang |
| 2024 | CVPR | Active Prompt Learning in Vision Language Models. | Jihwan Bang, Sumyeong Ahn, Jae-Gil Lee |
| 2024 | ICML | One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning. | Doyoung Kim, Susik Yoon, Dongmin Park, Youngjun Lee, Hwanjun Song, Jihwan Bang, Jae-Gil Lee |
| 2023 | ICCV | Generating Instance-level Prompts for Rehearsal-free Continual Learning. | Dahuin Jung, Dongyoon Han, Jihwan Bang, Hwanjun Song |
| 2023 | ICLR | Online Boundary-Free Continual Learning by Scheduled Data Prior. | Hyunseo Koh, Minhyuk Seo, Jihwan Bang, Hwanjun Song, Deokki Hong, Seulki Park, Jung-Woo Ha, Jonghyun Choi |
| 2023 | ICLR | Self-Supervised Set Representation Learning for Unsupervised Meta-Learning. | Dong Bok Lee, Seanie Lee, Kenji Kawaguchi, Yunji Kim, Jihwan Bang, Jung-Woo Ha, Sung Ju Hwang |
| 2022 | CVPR | Online Continual Learning on a Contaminated Data Stream with Blurry Task Boundaries. | Jihwan Bang, Hyunseo Koh, Seulki Park, Hwanjun Song, Jung-Woo Ha, Jonghyun Choi |
| 2021 | CVPR | Rainbow Memory: Continual Learning With a Memory of Diverse Samples. | Jihwan Bang, Heesu Kim, Youngjoon Yoo, Jung-Woo Ha, Jonghyun Choi |
| 2020 | WACV | SINet: Extreme Lightweight Portrait Segmentation Networks with Spatial Squeeze Modules and Information Blocking Decoder. | Hyojin Park, Lars Lowe Sjsund, Young Joon Yoo, Nicolas Monet, Jihwan Bang, Nojun Kwak |
| 2018 | MOBIHOC | Incentivizing Hosts via Multilateral Cooperation in User-Provided Networks: A Fluid Shapley Value Approach. | Hyojung Lee, Jihwan Bang, Yung Yi |