Jeonghun Baek

According to our database, Jeonghun Baek authored at least 20 papers between 2014 and 2026.

Collaborative distances:

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

2026

Beyond Bilingual Transfer: Multilingual Code-Switching in Instruction Tuning.

Shunta Asano, Jeonghun Baek, Toshihiko Yamasaki

CoRR, May, 2026

Manga109-v2026: Revisiting Manga109 Annotations for Modern Manga Understanding.

Jeonghun Baek, Atsuyuki Miyai, Shota Onohara, Hikaru Ikuta, Kiyoharu Aizawa

CoRR, May, 2026

MaskingAgent: Preventing LLM Tutor from Providing Full Solutions in Python Programming Courses.

Jeonghun Baek, Tetsuro Yamazaki, Akimasa Morihata, Junichiro Mori, Yoko Yamakata, Kenjiro Taura, Shigeru Chiba

Proceedings of the 57th ACM Technical Symposium on Computer Science Education V.2, 2026

LLM-Based Explainable Detection of LLM-Generated Code in Python Programming Courses.

Jeonghun Baek, Tetsuro Yamazaki, Akimasa Morihata, Junichiro Mori, Yoko Yamakata, Kenjiro Taura, Shigeru Chiba

Proceedings of the 57th ACM Technical Symposium on Computer Science Education V.1, 2026

MangaVQA and MangaLMM: A Benchmark and Specialized Model for Multimodal Manga Understanding.

Jeonghun Baek, Kazuki Egashira, Shota Onohara, Atsuyuki Miyai, Yuki Imajuku, Hikaru Ikuta, Kiyoharu Aizawa

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

2025

JMMMU-Pro: Image-based Japanese Multi-discipline Multimodal Understanding Benchmark via Vibe Benchmark Construction.

Atsuyuki Miyai, Shota Onohara, Jeonghun Baek, Kiyoharu Aizawa

CoRR, December, 2025

Toward Responsible Federated Large Language Models: Leveraging a Safety Filter and Constitutional AI.

Eunchung Noh, Jeonghun Baek

CoRR, February, 2025

Leveraging LLM for Detecting and Explaining LLM-generated Code in Python Programming Courses.

Jeonghun Baek, Tetsuro Yamazaki, Akimasa Morihata, Junichiro Mori, Yoko Yamakata, Kenjiro Taura, Shigeru Chiba

Proceedings of the 56th ACM Technical Symposium on Computer Science Education V. 2, 2025

JMMMU: A Japanese Massive Multi-discipline Multimodal Understanding Benchmark for Culture-aware Evaluation.

Shota Onohara, Atsuyuki Miyai, Yuki Imajuku, Kazuki Egashira, Jeonghun Baek, Xiang Yue, Graham Neubig, Kiyoharu Aizawa

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Harnessing PDF Data for Improving Japanese Large Multimodal Models.

Jeonghun Baek, Akiko Aizawa, Kiyoharu Aizawa

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Cross-Lingual Learning in Multilingual Scene Text Recognition.

Jeonghun Baek, Yusuke Matsui, Kiyoharu Aizawa

Proceedings of the IEEE International Conference on Acoustics, 2024

2022

COO: Comic Onomatopoeia Dataset for Recognizing Arbitrary or Truncated Texts.

Jeonghun Baek, Yusuke Matsui, Kiyoharu Aizawa

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

What if We Only Use Real Datasets for Scene Text Recognition? Toward Scene Text Recognition With Fewer Labels.

Jeonghun Baek, Yusuke Matsui, Kiyoharu Aizawa

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Character Region Attention for Text Spotting.

Youngmin Baek, Seung Shin, Jeonghun Baek, Sungrae Park, Junyeop Lee, Daehyun Nam, Hwalsuk Lee

Proceedings of the Computer Vision - ECCV 2020, 2020

On Recognizing Texts of Arbitrary Shapes with 2D Self-Attention.

Junyeop Lee, Sungrae Park, Jeonghun Baek, Seong Joon Oh, Seonghyeon Kim, Hwalsuk Lee

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

CLEval: Character-Level Evaluation for Text Detection and Recognition Tasks.

Youngmin Baek, Daehyun Nam, Sungrae Park, Junyeop Lee, Seung Shin, Jeonghun Baek, Chae Young Lee, Hwalsuk Lee

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

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

2015

Computational Complexity Reduction for Functional Connectivity Estimation in Large Scale Neural Network.

Jeonghun Baek, Shigeyuki Oba, Junichiro Yoshimoto, Kenji Doya, Shin Ishii

Proceedings of the Neural Information Processing - 22nd International Conference, 2015

2014

A situation-aware action selection based on individual's preference using emotion estimation.

Kazumi Kumagai, Jeonghun Baek, Ikuo Mizuuchi

Proceedings of the 2014 IEEE International Conference on Robotics and Biomimetics, 2014

Considerate Behavior of Robots Based on Individual's Preference.

Jeonghun Baek, Ikuo Mizuuchi

Proceedings of the Intelligent Autonomous Systems 13, 2014