Geewook Kim

According to our database, Geewook Kim authored at least 22 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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

CoRR, 2024

CREPE: Coordinate-Aware End-to-End Document Parser.

Yamato Okamoto, Youngmin Baek, Geewook Kim, Ryota Nakao, Donghyun Kim, Moonbin Yim, Seunghyun Park, Bado Lee

CoRR, 2024

CREPE: Coordinate-Aware End-to-End Document Parser.

Yamato Okamoto, Youngmin Baek, Geewook Kim, Ryota Nakao, DongHyun Kim, Moonbin Yim, Seunghyun Park, Bado Lee

Proceedings of the Document Analysis and Recognition - ICDAR 2024 - 18th International Conference, Athens, Greece, August 30, 2024

On Efficient Language and Vision Assistants for Visually-Situated Natural Language Understanding: What Matters in Reading and Reasoning.

Geewook Kim, Minjoon Seo

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Prometheus-Vision: Vision-Language Model as a Judge for Fine-Grained Evaluation.

Seongyun Lee, Seungone Kim, Sue Hyun Park, Geewook Kim, Minjoon Seo

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Cream: Visually-Situated Natural Language Understanding with Contrastive Reading Model and Frozen Large Language Models.

Geewook Kim, Hodong Lee, Daehee Kim, Haeji Jung, Sanghee Park, Yoonsik Kim, Sangdoo Yun, Taeho Kil, Bado Lee, Seunghyun Park

CoRR, 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

Proceedings of the Document Analysis and Recognition - ICDAR 2023 Workshops, 2023

On Web-based Visual Corpus Construction for Visual Document Understanding.

Donghyun Kim, Teakgyu Hong, Moonbin Yim, Yoonsik Kim, Geewook Kim

Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023

SCOB: Universal Text Understanding via Character-wise Supervised Contrastive Learning with Online Text Rendering for Bridging Domain Gap.

Daehee Kim, Yoonsik Kim, Donghyun Kim, Yumin Lim, Geewook Kim, Taeho Kil

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Visually-Situated Natural Language Understanding with Contrastive Reading Model and Frozen Large Language Models.

Geewook Kim, Hodong Lee, Daehee Kim, Haeji Jung, Sanghee Park, Yoonsik Kim, Sangdoo Yun, Taeho Kil, Bado Lee, Seunghyun Park

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

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

CoRR, 2022

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

Proceedings of the Computer Vision - ECCV 2022, 2022

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

CoRR, 2021

Revisiting Additive Compositionality: AND, OR and NOT Operations with Word Embeddings.

Masahiro Naito, Sho Yokoi, Geewook Kim, Hidetoshi Shimodaira

CoRR, 2021

Cost-effective End-to-end Information Extraction for Semi-structured Document Images.

Wonseok Hwang, Hyunji Lee, Jinyeong Yim, Geewook Kim, Minjoon Seo

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Stochastic Neighbor Embedding of Multimodal Relational Data for Image-Text Simultaneous Visualization.

Morihiro Mizutani, Akifumi Okuno, Geewook Kim, Hidetoshi Shimodaira

CoRR, 2020

Scale down Transformer by Grouping Features for a Lightweight Character-level Language Model.

Sungrae Park, Geewook Kim, Junyeop Lee, Junbum Cha, Ji-Hoon Kim, Hwalsuk Lee

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019

Segmentation-free compositional n-gram embedding.

Geewook Kim, Kazuki Fukui, Hidetoshi Shimodaira

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Representation Learning with Weighted Inner Product for Universal Approximation of General Similarities.

Geewook Kim, Akifumi Okuno, Kazuki Fukui, Hidetoshi Shimodaira

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 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

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Graph Embedding with Shifted Inner Product Similarity and Its Improved Approximation Capability.

Akifumi Okuno, Geewook Kim, Hidetoshi Shimodaira

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Word-like character n-gram embedding.

Geewook Kim, Kazuki Fukui, Hidetoshi Shimodaira

Proceedings of the 4th Workshop on Noisy User-generated Text, 2018