Kazuki Hayashi

According to our database, Kazuki Hayashi authored at least 33 papers between 1997 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2025

Diagnosing Vision Language Models' Perception by Leveraging Human Methods for Color Vision Deficiencies.

Kazuki Hayashi, Shintaro Ozaki, Yusuke Sakai, Hidetaka Kamigaito, Taro Watanabe

CoRR, May, 2025

IterKey: Iterative Keyword Generation with LLMs for Enhanced Retrieval Augmented Generation.

Kazuki Hayashi, Hidetaka Kamigaito, Shinya Kouda, Taro Watanabe

CoRR, May, 2025

TextTIGER: Text-based Intelligent Generation with Entity Prompt Refinement for Text-to-Image Generation.

Shintaro Ozaki, Kazuki Hayashi, Yusuke Sakai, Jingun Kwon, Hidetaka Kamigaito, Katsuhiko Hayashi, Manabu Okumura, Taro Watanabe

CoRR, April, 2025

Hierarchical graph-based machine learning model for optimization of three-dimensional braced steel frame.

Chi-tathon Kupwiwat, Kazuki Hayashi, Makoto Ohsaki

Eng. Appl. Artif. Intell., 2025

Reliability of Distribution Predictions by LLMs: Insights from Counterintuitive Pseudo-Distributions.

Toma Suzuki, Ayuki Katayama, Seiji Gobara, Ryo Tsujimoto, Hibiki Nakatani, Kazuki Hayashi, Yusuke Sakai, Hidetaka Kamigaito, Taro Watanabe

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

Towards Cross-Lingual Explanation of Artwork in Large-scale Vision Language Models.

Shintaro Ozaki, Kazuki Hayashi, Yusuke Sakai, Hidetaka Kamigaito, Katsuhiko Hayashi, Taro Watanabe

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

IRR: Image Review Ranking Framework for Evaluating Vision-Language Models.

Kazuki Hayashi, Kazuma Onishi, Toma Suzuki, Yusuke Ide, Seiji Gobara, Shigeki Saito, Yusuke Sakai, Hidetaka Kamigaito, Katsuhiko Hayashi, Taro Watanabe

Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024

Multi-objective optimization of truss structure using multi-agent reinforcement learning and graph representation.

Chi-tathon Kupwiwat, Kazuki Hayashi, Makoto Ohsaki

Eng. Appl. Artif. Intell., 2024

Understanding the Impact of Confidence in Retrieval Augmented Generation: A Case Study in the Medical Domain.

Shintaro Ozaki, Yuta Kato, Siyuan Feng, Masayo Tomita, Kazuki Hayashi, Ryoma Obara, Masafumi Oyamada, Katsuhiko Hayashi, Hidetaka Kamigaito, Taro Watanabe

CoRR, 2024

Topology optimization of periodic lattice structures for specified mechanical properties using machine learning considering member connectivity.

Tomoya Matsuoka, Makoto Ohsaki, Kazuki Hayashi

CoRR, 2024

BQA: Body Language Question Answering Dataset for Video Large Language Models.

Shintaro Ozaki, Kazuki Hayashi, Miyu Oba, Yusuke Sakai, Hidetaka Kamigaito, Taro Watanabe

CoRR, 2024

Artwork Explanation in Large-scale Vision Language Models.

Kazuki Hayashi, Yusuke Sakai, Hidetaka Kamigaito, Katsuhiko Hayashi, Taro Watanabe

CoRR, 2024

Evaluating Image Review Ability of Vision Language Models.

Shigeki Saito, Kazuki Hayashi, Yusuke Ide, Yusuke Sakai, Kazuma Onishi, Toma Suzuki, Seiji Gobara, Hidetaka Kamigaito, Katsuhiko Hayashi, Taro Watanabe

CoRR, 2024

Towards Artwork Explanation in Large-scale Vision Language Models.

Kazuki Hayashi, Yusuke Sakai, Hidetaka Kamigaito, Katsuhiko Hayashi, Taro Watanabe

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024

2023

Deep deterministic policy gradient and graph attention network for geometry optimization of latticed shells.

Chi-tathon Kupwiwat, Kazuki Hayashi, Makoto Ohsaki

Appl. Intell., September, 2023

Effectiveness of Feature Extraction System for Multimodal Sensor Information Based on VRAE and Its Application to Object Recognition.

Kazuki Hayashi, Daisuke Tanaka

IEICE Trans. Inf. Syst., May, 2023

Mean curvature flow for generating discrete surfaces with piecewise constant mean curvatures.

Kazuki Hayashi, Yoshiki Jikumaru, Makoto Ohsaki, Takashi Kagaya, Yohei Yokosuka

Comput. Aided Geom. Des., April, 2023

Cost-effective network capacity upgrade by heterogeneous wavelength division multiplexing density with bandwidth-variable virtual direct links.

Kazuki Hayashi, Yojiro Mori, Hiroshi Hasegawa

JOCN, 2023

2022

Graph-based reinforcement learning for discrete cross-section optimization of planar steel frames.

Kazuki Hayashi, Makoto Ohsaki

Adv. Eng. Informatics, 2022

An Independently Learnable Hierarchical Model for Bilateral Control-Based Imitation Learning Applications.

Kazuki Hayashi, Sho Sakaino, Toshiaki Tsuji

IEEE Access, 2022

Practices of Lifelong Education on Programming to Support STEM Education in Primary Schools.

Takashi Imamura, Shigehito Tanahashi, Kazuki Hayashi, Asuka Mano, Tsutomu Abe, Akemi Asatsuma

Proceedings of the IEEE International Conference on Teaching, 2022

Synthesizing Town-scale Vehicle Mobility from Traffic Surveillance Cameras: A Case Study.

Kazuki Hayashi, Akihito Hiromori, Hirozumi Yamaguchi, Masaki Suzuki, Takeshi Kitahara

Proceedings of the 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2022

Efficient Network Capacity Expansion by Differentiated WDM-Density with Bandwidth-Variable Virtual Direct Links.

Kazuki Hayashi, Yojiro Mori, Hiroshi Hasegawa

Proceedings of the 2022 IEEE Future Networks World Forum, 2022

2021

Management and Network Orchestration for Edge/Fog-based Distributed Data Processing.

Hiroki Watanabe, Kazuki Hayashi, Tomonori Sato, Takao Kondo, Fumio Teraoka

J. Inf. Process., 2021

Reinforcement learning for optimum design of a plane frame under static loads.

Kazuki Hayashi, Makoto Ohsaki

Eng. Comput., 2021

Discrete Gaussian Curvature Flow for Piecewise Constant Gaussian Curvature Surface.

Kazuki Hayashi, Yoshiki Jikumaru, Makoto Ohsaki, Takashi Kagaya, Yohei Yokosuka

Comput. Aided Des., 2021

Machine-specified ground structures for topology optimization of binary trusses using graph embedding policy network.

Shaojun Zhu, Makoto Ohsaki, Kazuki Hayashi, Xiaonong Guo

Adv. Eng. Softw., 2021

A New Autoregressive Neural Network Model with Command Compensation for Imitation Learning Based on Bilateral Control.

Kazuki Hayashi, Ayumu Sasagawa, Sho Sakaino, Toshiaki Tsuji

Proceedings of the IEEE International Conference on Mechatronics, 2021

Whistle recognition using convolutional neural network.

Kazuki Hayashi, Mikio Mori

Proceedings of the 10th IEEE Global Conference on Consumer Electronics, 2021

2019

FDMopt: Force density method for optimal geometry and topology of trusses.

Kazuki Hayashi, Makoto Ohsaki

Adv. Eng. Softw., 2019

LiON: A L3 Protocol Agnostic Experimental Network Construction Tool Based on Infrastructure as Code.

Kazuki Hayashi, Hiroki Watanabe, Takao Kondo, Fumio Teraoka

Proceedings of the 6th International Conference on Software Defined Systems, 2019

2018

A New Method for Immobilization of His-Tagged Proteins with the Application of Low-Frequency AC Electric Field.

Shunsuke Takahashi, Kazuki Kishi, Ryota Hiraga, Kazuki Hayashi, Youhei Mamada, Masahiko Oshige, Shinji Katsura

Sensors, 2018

1997

Generation of behavior automaton on neural network.

Tetsuya Ogata, Kazuki Hayashi, Ikuo Kitagishi, Shigeki Sugano

Proceedings of the 1997 IEEE/RSJ International Conference on Intelligent Robot and Systems. Innovative Robotics for Real-World Applications. IROS '97, 1997