Atsuyuki Miyai

According to our database, Atsuyuki Miyai authored at least 14 papers between 2023 and 2025.

Collaborative distances:

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

2025

PULSE: Practical Evaluation Scenarios for Large Multimodal Model Unlearning.

Tatsuki Kawakami, Kazuki Egashira, Atsuyuki Miyai, Go Irie, Kiyoharu Aizawa

CoRR, July, 2025

GL-MCM: Global and Local Maximum Concept Matching for Zero-Shot Out-of-Distribution Detection.

Atsuyuki Miyai, Qing Yu, Go Irie, Kiyoharu Aizawa

Int. J. Comput. Vis., June, 2025

WebChoreArena: Evaluating Web Browsing Agents on Realistic Tedious Web Tasks.

Atsuyuki Miyai, Zaiying Zhao, Kazuki Egashira, Atsuki Sato, Tatsumi Sunada, Shota Onohara, Hiromasa Yamanishi, Mashiro Toyooka, Kunato Nishina, Ryoma Maeda, Kiyoharu Aizawa, Toshihiko Yamasaki

CoRR, June, 2025

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

CoRR, May, 2025

A Benchmark and Evaluation for Real-World Out-of-Distribution Detection Using Vision-Language Models.

Shiho Noda, Atsuyuki Miyai, Qing Yu, Go Irie, Kiyoharu Aizawa

CoRR, January, 2025

Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey.

Atsuyuki Miyai, Jingkang Yang, Jingyang Zhang, Yifei Ming, Yueqian Lin, Qing Yu, Go Irie, Shafiq Joty, Yixuan Li, Hai Helen Li, Ziwei Liu, Toshihiko Yamasaki, Kiyoharu Aizawa

Trans. Mach. Learn. Res., 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

Unsolvable Problem Detection: Robust Understanding Evaluation for Large Multimodal Models.

Atsuyuki Miyai, Jingkang Yang, Jingyang Zhang, Yifei Ming, Qing Yu, Go Irie, Yixuan Li, Hai Helen Li, Ziwei Liu, Kiyoharu Aizawa

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Negative Learning to Prevent Undesirable Misclassification.

Kazuki Egashira, Atsuyuki Miyai, Qing Yu, Go Irie, Kiyoharu Aizawa

IEICE Trans. Inf. Syst., January, 2024

Unsolvable Problem Detection: Evaluating Trustworthiness of Vision Language Models.

Atsuyuki Miyai, Jingkang Yang, Jingyang Zhang, Yifei Ming, Qing Yu, Go Irie, Yixuan Li, Hai Li, Ziwei Liu, Kiyoharu Aizawa

CoRR, 2024

2023

Can Pre-trained Networks Detect Familiar Out-of-Distribution Data?

Atsuyuki Miyai, Qing Yu, Go Irie, Kiyoharu Aizawa

CoRR, 2023

Zero-Shot In-Distribution Detection in Multi-Object Settings Using Vision-Language Foundation Models.

Atsuyuki Miyai, Qing Yu, Go Irie, Kiyoharu Aizawa

CoRR, 2023

Rethinking Rotation in Self-Supervised Contrastive Learning: Adaptive Positive or Negative Data Augmentation.

Atsuyuki Miyai, Qing Yu, Daiki Ikami, Go Irie, Kiyoharu Aizawa

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

LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning.

Atsuyuki Miyai, Qing Yu, Go Irie, Kiyoharu Aizawa

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023