Word-like character n-gram embedding. - Geewook Kim; Kazuki Fukui; Hidetoshi Shimodaira (NUT@EMNLP, 2018)

Graph Embedding with Shifted Inner Product Similarity and Its Improved Approximation Capability. - Akifumi Okuno; Geewook Kim; Hidetoshi Shimodaira (AISTATS, 2019)

What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis. - Jeonghun Baek; Geewook Kim; Junyeop Lee; Sungrae Park; Dongyoon Han; Sangdoo Yun; Seong Joon Oh; Hwalsuk Lee (ICCV, 2019)

Representation Learning with Weighted Inner Product for Universal Approximation of General Similarities. - Geewook Kim; Akifumi Okuno; Kazuki Fukui; Hidetoshi Shimodaira (IJCAI, 2019)

Segmentation-free compositional n-gram embedding. - Geewook Kim; Kazuki Fukui; Hidetoshi Shimodaira (NAACL-HLT (1), 2019)

Scale down Transformer by Grouping Features for a Lightweight Character-level Language Model. - Sungrae Park; Geewook Kim; Junyeop Lee; Junbum Cha; Ji-Hoon Kim 002; Hwalsuk Lee (COLING, 2020)

Stochastic Neighbor Embedding of Multimodal Relational Data for Image-Text Simultaneous Visualization. - Morihiro Mizutani; Akifumi Okuno; Geewook Kim; Hidetoshi Shimodaira (CoRR, 2020)

Cost-effective End-to-end Information Extraction for Semi-structured Document Images. - Wonseok Hwang; Hyunji Lee; Jinyeong Yim; Geewook Kim; Minjoon Seo (EMNLP (1), 2021)

Revisiting Additive Compositionality: AND, OR and NOT Operations with Word Embeddings. - Masahiro Naito; Sho Yokoi; Geewook Kim; Hidetoshi Shimodaira (CoRR, 2021)

Donut: Document Understanding Transformer without OCR. - Geewook Kim; Teakgyu Hong; Moonbin Yim; Jinyoung Park; Jinyeong Yim; Wonseok Hwang; Sangdoo Yun; Dongyoon Han; Seunghyun Park 001 (CoRR, 2021)

OCR-Free Document Understanding Transformer. - Geewook Kim; Teakgyu Hong; Moonbin Yim; JeongYeon Nam; Jinyoung Park; Jinyeong Yim; Wonseok Hwang; Sangdoo Yun; Dongyoon Han; Seunghyun Park 001 (ECCV (28), 2022)

Semi-Structured Query Grounding for Document-Oriented Databases with Deep Retrieval and Its Application to Receipt and POI Matching. - Geewook Kim; Wonseok Hwang; Minjoon Seo; Seunghyun Park 001 (CoRR, 2022)

Visually-Situated Natural Language Understanding with Contrastive Reading Model and Frozen Large Language Models. - Geewook Kim; Hodong Lee; Daehee Kim 003; Haeji Jung; Sanghee Park; Yoonsik Kim; Sangdoo Yun; Taeho Kil; Bado Lee; Seunghyun Park 001 (EMNLP, 2023)

SCOB: Universal Text Understanding via Character-wise Supervised Contrastive Learning with Online Text Rendering for Bridging Domain Gap. - Daehee Kim 003; Yoonsik Kim; Donghyun Kim 012; Yumin Lim; Geewook Kim; Taeho Kil (ICCV, 2023)

On Web-based Visual Corpus Construction for Visual Document Understanding. - Donghyun Kim 012; Teakgyu Hong; Moonbin Yim; Yoonsik Kim; Geewook Kim (ICDAR (3), 2023)

On Text Localization in End-to-End OCR-Free Document Understanding Transformer Without Text Localization Supervision. - Geewook Kim; Shuhei Yokoo; Sukmin Seo; Atsuki Osanai; Yamato Okamoto; Youngmin Baek (ICDAR Workshops (1), 2023)

Cream: Visually-Situated Natural Language Understanding with Contrastive Reading Model and Frozen Large Language Models. - Geewook Kim; Hodong Lee; Daehee Kim 003; Haeji Jung; Sanghee Park; Yoonsik Kim; Sangdoo Yun; Taeho Kil; Bado Lee; Seunghyun Park 001 (CoRR, 2023)

Prometheus-Vision: Vision-Language Model as a Judge for Fine-Grained Evaluation. - Seongyun Lee; Seungone Kim; Sue Hyun Park; Geewook Kim; Minjoon Seo (ACL (Findings), 2024)

On Efficient Language and Vision Assistants for Visually-Situated Natural Language Understanding: What Matters in Reading and Reasoning. - Geewook Kim; Minjoon Seo (EMNLP, 2024)

CREPE: Coordinate-Aware End-to-End Document Parser. - Yamato Okamoto; Youngmin Baek; Geewook Kim; Ryota Nakao; DongHyun Kim; Moonbin Yim; Seunghyun Park 001; Bado Lee (ICDAR (4), 2024)

MMRefine: Unveiling the Obstacles to Robust Refinement in Multimodal Large Language Models. - Gio Paik; Geewook Kim; Jinbae Im (ACL (Findings), 2025)

How Does Vision-Language Adaptation Impact the Safety of Vision Language Models? - Seongyun Lee; Geewook Kim; Jiyeon Kim; Hyunji Lee; Hoyeon Chang; Sue Hyun Park; Minjoon Seo (ICLR, 2025)

Evaluating Multimodal Generative AI with Korean Educational Standards. - Sanghee Park; Geewook Kim (NAACL (Short Papers), 2025)

MambaMia: A State-Space-Model-Based Compression for Efficient Video Understanding in Large Multimodal Models. - Geewook Kim; Minjoon Seo (CoRR, 2025)

Context-Informed Grounding Supervision. - Hyunji Lee; Seunghyun Yoon 002; Yunjae Won; Hanseok Oh; Geewook Kim; Trung Bui; Franck Dernoncourt; Elias Stengel-Eskin; Mohit Bansal; Minjoon Seo (CoRR, 2025)