Publications · MOAI Lab

Preprints

P5 PRISM: Interpreting Time-series Foundation Models via Zero-shot Basis Decoding Sanghyung Lee^*, Chaewon Park^*, Suchan Lee, Sangwoo Mo
P4 Loud and Clear: Making Visual Evidence Count in Multimodal Document RAG Eunchan Jo^*, Seounghyun Jang^*, Sangwoo Mo arXiv code
P3 Why, Where, How: Taxonomy-guided Error Grounding for Code Repair in NL2SQL Suchan Lee, Woomin Song, Hwanjo Yu^†, Sangwoo Mo^† arXiv code
P2 What Converges in the Platonic Representation Hypothesis? Structure over Geometry Junwon You, Mihyun Jang, Sangwoo Mo^†, Jae-Hun Jung^† arXiv code
P1 Act with Intent: Distilling Behavior Intent for Vision-Language-Action Models Sangoh Lee, Sangwoo Mo^†, Wook-Shin Han^† arXiv project code

C25 Instruct2Alert: Decoupling Visual Verification from Temporal Alert Control in Video Safety Monitoring Yoel Shin, Byung-In Kim, Sangwoo Mo WACV 2027 (application)

C24 Stay Fair! Ensuring Group Fairness in Diffusion Models Across Guidance Scales Myeongsoo Kim, Eunji Kim, Minwoo Chae, Sangwoo Mo NeurIPS 2026arXiv project code
C23 Topology-Aware Representation Alignment for Semi-Supervised Vision-Language Learning Junwon You, Mihyun Jang, Sangwoo Mo^†, Jae-Hun Jung^† NeurIPS 2026arXiv code
C22 Aligning Forest and Trees in Images & Long Captions for Visually Grounded Understanding Byeongju Woo, Zilin Wang, Byeonghyun Pak, Sangwoo Mo, Stella X. Yu NeurIPS 2026arXiv project code
C21 Understanding the Effects of Distractors on Reasoning Vision-Language Models Jiyun Bae, Hyunjong Ok, Sangwoo Mo, Jaeho Lee EMNLP 2026OralarXiv project code
C20 Bring My Cup! Personalizing Vision-Language-Action Models with Visual Attentive Prompting Sangoh Lee, Sangwoo Mo^†, Wook-Shin Han^† ICML 2026arXiv project code
C19 Rethinking Prompt Design for Inference-time Scaling in Text-to-Visual Generation Subin Kim, Sangwoo Mo, Mamshad Nayeem Rizve, Yiran Xu, Difan Liu, Jinwoo Shin, Tobias Hinz CVPR 2026arXiv project
C18 Multimodal Dataset Distillation Made Simple by Prototype-Guided Data Synthesis Junhyeok Choi, Sangwoo Mo, Minwoo Chae ICLR 2026arXiv code
J4 SHED Light on Segmentation for Dense Prediction Seung-Hyun Lee, Sangwoo Mo, Stella X. Yu TMLR 2026arXiv

C17 Open Ad-hoc Categorization with Contextualized Feature Learning Zilin Wang^*, Sangwoo Mo^*, Stella X. Yu, Sima Behpour, Liu Ren CVPR 2025arXiv project code
J3 Sparsified State-Space Models are Efficient Highway Networks Woomin Song, Jihoon Tack, Sangwoo Mo, Seunghyuk Oh, Jinwoo Shin TMLR 2025arXiv code

C16 Discovering and Mitigating Visual Biases through Keyword Explanation Younghyun Kim^*, Sangwoo Mo^*, Minkyu Kim, Kyungmin Lee, Jaeho Lee, Jinwoo Shin CVPR 2024HighlightarXiv code
C15 Learning Hierarchical Image Segmentation For Recognition and By Recognition Tsung-Wei Ke^*, Sangwoo Mo^*, Stella X. Yu ICLR 2024SpotlightarXiv code
C14 SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA of LLMs Jaehyung Kim, Jaehyun Nam, Sangwoo Mo, Jongjin Park, Sang-Woo Lee, Minjoon Seo, Jung-Woo Ha, Jinwoo Shin ICLR 2024arXiv code
C13 Hierarchical Context Merging: Better Long Context Understanding for Pre-trained LLMs Woomin Song^*, Seunghyuk Oh^*, Sangwoo Mo, Jaehyung Kim, Sukmin Yun, Jung-Woo Ha, Jinwoo Shin ICLR 2024arXiv code

C9 Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks Sihyun Yu^*, Jihoon Tack^*, Sangwoo Mo^*, Hyunsu Kim, Junho Kim, Jung-Woo Ha, Jinwoo Shin ICLR 2022arXiv project code
W3 OAMixer: Object-aware Mixing Layer for Vision Transformers Hyunwoo Kang^*, Sangwoo Mo^*, Jinwoo Shin CVPRW 2022arXiv code Best Paper Award, Korean AI Association Fall Conference, 2022

C8 Object-aware Contrastive Learning for Debiased Scene Representation Sangwoo Mo^*, Hyunwoo Kang^*, Kihyuk Sohn, Chun-Liang Li, Jinwoo Shin NeurIPS 2021arXiv code Qualcomm Innovation Fellowship Korea, 2021
C7 Layer-adaptive Sparsity for the Magnitude-based Pruning Jaeho Lee, Sejun Park, Sangwoo Mo, Sungsoo Ahn, Jinwoo Shin ICLR 2021arXiv code
C6 MASKER: Masked Keyword Regularization for Reliable Text Classification Seung-Jun Moon^*, Sangwoo Mo^*, Kimin Lee, Jaeho Lee, Jinwoo Shin AAAI 2021arXiv code
J1 Deep Neural Network Based Electrical Impedance Tomographic Sensing Methodology for Large-Area Robotic Tactile Sensing Hyunkyu Park, Kyungseo Park, Sangwoo Mo, Jung Kim T-RO 2021
W2 Abstract Reasoning via Logic-guided Generation Sihyun Yu, Sangwoo Mo, Sungsoo Ahn, Jinwoo Shin ICMLW 2021arXiv

C5 CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances Jihoon Tack^*, Sangwoo Mo^*, Jongheon Jeong, Jinwoo Shin NeurIPS 2020arXiv code Qualcomm Innovation Fellowship Korea, 2020
C4 Lookahead: A Far-sighted Alternative of Magnitude-based Pruning Sejun Park^*, Jaeho Lee^*, Sangwoo Mo, Jinwoo Shin ICLR 2020arXiv code
W1 Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs Sangwoo Mo, Minsu Cho, Jinwoo Shin CVPRW 2020arXiv code

C3 Mining GOLD Samples for Conditional GANs Sangwoo Mo, Chiheon Kim, Sungwoong Kim, Minsu Cho, Jinwoo Shin NeurIPS 2019arXiv code
C2 Deep Neural Network Approach in Electrical Impedance Tomography-Based Real-Time Soft Tactile Sensor Hyunkyu Park, Hyosang Lee, Kyungseo Park, Sangwoo Mo, Jung Kim IROS 2019
C1 InstaGAN: Instance-aware Image-to-Image Translation Sangwoo Mo, Minsu Cho, Jinwoo Shin ICLR 2019arXiv code Bronze Prize, Samsung Humantech Paper Awards, 2019