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  1. 1
    What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis

    What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis by Baek, Jeonghun, Kim, Geewook, Lee, Junyeop, Park, Sungrae, Han, Dongyoon, Yun, Sangdoo, Oh, Seong Joon, Lee, Hwalsuk

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  2. 2
    On Efficient Language and Vision Assistants for Visually-Situated Natural Language Understanding: What Matters in Reading and Reasoning

    On Efficient Language and Vision Assistants for Visually-Situated Natural Language Understanding: What Matters in Reading and Reasoning by Kim, Geewook, Seo, Minjoon

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  3. 3
    On Web-based Visual Corpus Construction for Visual Document Understanding

    On Web-based Visual Corpus Construction for Visual Document Understanding by Kim, Donghyun, Hong, Teakgyu, Yim, Moonbin, Kim, Yoonsik, Kim, Geewook

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  4. 4
    How Does Vision-Language Adaptation Impact the Safety of Vision Language Models?

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

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  5. 5
    Revisiting Additive Compositionality: AND, OR and NOT Operations with Word Embeddings

    Revisiting Additive Compositionality: AND, OR and NOT Operations with Word Embeddings by Naito, Masahiro, Yokoi, Sho, Kim, Geewook, Shimodaira, Hidetoshi

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  6. 6
    Prometheus-Vision: Vision-Language Model as a Judge for Fine-Grained Evaluation

    Prometheus-Vision: Vision-Language Model as a Judge for Fine-Grained Evaluation by Lee, Seongyun, Kim, Seungone, Park, Sue Hyun, Kim, Geewook, Seo, Minjoon

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  7. 7
    SCOB: Universal Text Understanding via Character-wise Supervised Contrastive Learning with Online Text Rendering for Bridging Domain Gap

    SCOB: Universal Text Understanding via Character-wise Supervised Contrastive Learning with Online Text Rendering for Bridging Domain Gap by Kim, Daehee, Kim, Yoonsik, Kim, DongHyun, Lim, Yumin, Kim, Geewook, Kil, Taeho

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  8. 8
    Semi-Structured Query Grounding for Document-Oriented Databases with Deep Retrieval and Its Application to Receipt and POI Matching

    Semi-Structured Query Grounding for Document-Oriented Databases with Deep Retrieval and Its Application to Receipt and POI Matching by Kim, Geewook, Hwang, Wonseok, Seo, Minjoon, Park, Seunghyun

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  9. 9
    CREPE: Coordinate-Aware End-to-End Document Parser

    CREPE: Coordinate-Aware End-to-End Document Parser by Okamoto, Yamato, Baek, Youngmin, Kim, Geewook, Nakao, Ryota, Kim, DongHyun, Moon Bin Yim, Park, Seunghyun, Lee, Bado

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  10. 10
    Cost-effective End-to-end Information Extraction for Semi-structured Document Images

    Cost-effective End-to-end Information Extraction for Semi-structured Document Images by Hwang, Wonseok, Lee, Hyunji, Yim, Jinyeong, Kim, Geewook, Seo, Minjoon

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  11. 11
    Visually-Situated Natural Language Understanding with Contrastive Reading Model and Frozen Large Language Models

    Visually-Situated Natural Language Understanding with Contrastive Reading Model and Frozen Large Language Models by Kim, Geewook, Lee, Hodong, Kim, Daehee, Jung, Haeji, Park, Sanghee, Kim, Yoonsik, Sangdoo Yun, Kil, Taeho, Lee, Bado, Park, Seunghyun

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  12. 12
    Segmentation-free Compositional \(n\)-gram Embedding

    Segmentation-free Compositional \(n\)-gram Embedding by Kim, Geewook, Fukui, Kazuki, Shimodaira, Hidetoshi

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  13. 13
    Graph Embedding with Shifted Inner Product Similarity and Its Improved Approximation Capability

    Graph Embedding with Shifted Inner Product Similarity and Its Improved Approximation Capability by Okuno, Akifumi, Kim, Geewook, Shimodaira, Hidetoshi

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  14. 14
    Stochastic Neighbor Embedding of Multimodal Relational Data for Image-Text Simultaneous Visualization

    Stochastic Neighbor Embedding of Multimodal Relational Data for Image-Text Simultaneous Visualization by Mizutani, Morihiro, Okuno, Akifumi, Kim, Geewook, Shimodaira, Hidetoshi

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  15. 15
    OCR-free Document Understanding Transformer

    OCR-free Document Understanding Transformer by Kim, Geewook, Hong, Teakgyu, Yim, Moonbin, Nam, Jeongyeon, Park, Jinyoung, Yim, Jinyeong, Hwang, Wonseok, Sangdoo Yun, Han, Dongyoon, Park, Seunghyun

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  16. 16
    Representation Learning with Weighted Inner Product for Universal Approximation of General Similarities

    Representation Learning with Weighted Inner Product for Universal Approximation of General Similarities by Kim, Geewook, Okuno, Akifumi, Fukui, Kazuki, Shimodaira, Hidetoshi

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  17. 17
    HyperCLOVA X Technical Report

    HyperCLOVA X Technical Report by Kim, Munhyong, Lee, Bado, Park, Baeseong, Shin, Seongjin, Choe, Dooseok, Jin, Youngkyun, Sohn, Jeong Min, Hong, Sungju, Jung, Wangkyo, Kim, Hyeri, Kim, Jonghyun, Lee, Soeun, Park, Joonhee, Lee, Hwaran, Gylleus, Karl, Jeon, Hyojun, Kim, Adrian Jungmyung, Kim, Minseung, Kim, Sungdong, Min Young Lee, Min, Yuri, Park, Kyuyon, Yeom, Kyung Hoon, You, Myungin, Ahn, Seongmin, Chun, Sewhan, Hyuk Jin Jang, Jang, Jaeni, Jang, Sihyeon, Jin, Sol, Jung, Chaeyoon, Soonwon Ka, Kang, Soyoung, Dong-Gyun, Kim, Kim, Donggook, Kim, Donghyun, Kim, Gyu Ri, Kim, Isaac, Kim, Seonghyeon, Kim, Soojin, Kim, Sunyoung, Lee, Byungwook, Ha-Ram, Lee, Lee, Hodong, Lee, Jeongsang, Lee, Junghoon, Lee, Sungwoo, Lim, Jong Kun, Na, Nuri, Biro Oh, Jung-Sik Oh, Oh, Solgil, Park, Jihye, Park, Taerim, Seo, Soonshin, Shim, Yoonjeong, Shin, Kyuyong, Shin, Wonkwang, Son, Seulah, Song, Ka Yeon, Song, Minchul, Song, Seungmin, Yoo, Taehwan, Bae, Joungeun, Cho, Hyunsoo, Cho, Yongjin, Chung, Jiwan, Hong, Euisuk, Im, Seonyeol, Jegal, Sumin, Jiang, Juyong, Jin, Jiho, Kim, Jiseon, Jung Yoon Kim, Kim, Taeyong, Kwak, Heeyoung, Lee, Erin, Lee, Euijin, Ha Gyeong Lee, Lee, Hyunjeong, Lee, Junhyuk, Lee, Nayeon, Seung Jin Lee, Lee, Suhyeon, Lee, Yesol, Lee, Yujin, Seong-Eun Moon, Max-Lasse Nihlenramstroem, Park, Hongbeen, Seo, Ahreum, Shin, Jamin, Shin, Seungyoun, Wang, Jiangping, Yoo, Haneul, Yu, Liang, Hwang, Jihyun, Kwon, Hyoung Jo, Lee, Jungyeon, Lim, Seonghyeon, Sang-Woo, Lee

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  18. 18
    What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis

    What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis by Baek, Jeonghun, Kim, Geewook, Lee, Junyeop, Park, Sungrae, Han, Dongyoon, Sangdoo Yun, Oh, Seong Joon, Lee, Hwalsuk

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  19. 19
    Development of thermal stress concentration factors for life assessment of turbine casings

    Development of thermal stress concentration factors for life assessment of turbine casings by Choi, Woosung, Fujiyama, Kazunari, Kim, Bumshin, Song, Geewook

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  20. 20
    Fatigue Life Evaluation for Turbine Rotor Using Green's Function

    Fatigue Life Evaluation for Turbine Rotor Using Green's Function by Song, Geewook, Kim, Bumshin, Chang, Sungho

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