Atsuyuki Miyai

23 papers A* 1A 1Journal 18Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Jr. AI Scientist and Its Risk Report: Autonomous Scientific Exploration from a Baseline Paper. Trans. Mach. Learn. Res. Atsuyuki Miyai, Mashiro Toyooka, Takashi Otonari, Zaiying Zhao, Kiyoharu Aizawa
2026	—	`conf`	MangaVQA and MangaLMM: A Benchmark and Specialized Model for Multimodal Manga Understanding. EACL (Findings) Jeonghun Baek, Kazuki Egashira, Shota Onohara, Atsuyuki Miyai, Yuki Imajuku, Hikaru Ikuta, Kiyoharu Aizawa
2025	J	`jnl`	A Benchmark and Evaluation for Real-World Out-of-Distribution Detection Using Vision-Language Models. CoRR Shiho Noda, Atsuyuki Miyai, Qing Yu, Go Irie, Kiyoharu Aizawa
2025	J	`jnl`	GL-MCM: Global and Local Maximum Concept Matching for Zero-Shot Out-of-Distribution Detection. Int. J. Comput. Vis. Atsuyuki Miyai, Qing Yu, Go Irie, Kiyoharu Aizawa
2025	J	`jnl`	Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey. Trans. Mach. Learn. Res. 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
2025	J	`jnl`	JMMMU-Pro: Image-based Japanese Multi-discipline Multimodal Understanding Benchmark via Vibe Benchmark Construction. CoRR Atsuyuki Miyai, Shota Onohara, Jeonghun Baek, Kiyoharu Aizawa
2025	—	`conf`	JMMMU: A Japanese Massive Multi-discipline Multimodal Understanding Benchmark for Culture-aware Evaluation. NAACL (Long Papers) Shota Onohara, Atsuyuki Miyai, Yuki Imajuku, Kazuki Egashira, Jeonghun Baek, Xiang Yue, Graham Neubig, Kiyoharu Aizawa
2025	J	`jnl`	Jr. AI Scientist and Its Risk Report: Autonomous Scientific Exploration from a Baseline Paper. CoRR Atsuyuki Miyai, Mashiro Toyooka, Takashi Otonari, Zaiying Zhao, Kiyoharu Aizawa
2025	J	`jnl`	MangaVQA and MangaLMM: A Benchmark and Specialized Model for Multimodal Manga Understanding. CoRR Jeonghun Baek, Kazuki Egashira, Shota Onohara, Atsuyuki Miyai, Yuki Imajuku, Hikaru Ikuta, Kiyoharu Aizawa
2025	J	`jnl`	PULSE: Practical Evaluation Scenarios for Large Multimodal Model Unlearning. CoRR Tatsuki Kawakami, Kazuki Egashira, Atsuyuki Miyai, Go Irie, Kiyoharu Aizawa
2025	J	`jnl`	Research Process for JMMMU: A Japanese Massive Multi-discipline Multimodal Understanding Benchmark. J. Nat. Lang. Process. Atsuyuki Miyai
2025	—	`conf`	Unsolvable Problem Detection: Robust Understanding Evaluation for Large Multimodal Models. ACL (1) Atsuyuki Miyai, Jingkang Yang, Jingyang Zhang, Yifei Ming, Qing Yu, Go Irie, Yixuan Li, Hai Helen Li, Ziwei Liu, Kiyoharu Aizawa
2025	J	`jnl`	WebChoreArena: Evaluating Web Browsing Agents on Realistic Tedious Web Tasks. CoRR Atsuyuki Miyai, Zaiying Zhao, Kazuki Egashira, Atsuki Sato, Tatsumi Sunada, Shota Onohara, Hiromasa Yamanishi, Mashiro Toyooka, Kunato Nishina, Ryoma Maeda, Kiyoharu Aizawa, Toshihiko Yamasaki
2024	J	`jnl`	Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey. CoRR Atsuyuki Miyai, Jingkang Yang, Jingyang Zhang, Yifei Ming, Yueqian Lin, Qing Yu, Go Irie, Shafiq Joty, Yixuan Li, Hai Li, Ziwei Liu, Toshihiko Yamasaki, Kiyoharu Aizawa
2024	J	`jnl`	JMMMU: A Japanese Massive Multi-discipline Multimodal Understanding Benchmark for Culture-aware Evaluation. CoRR Shota Onohara, Atsuyuki Miyai, Yuki Imajuku, Kazuki Egashira, Jeonghun Baek, Xiang Yue, Graham Neubig, Kiyoharu Aizawa
2024	J	`jnl`	Negative Learning to Prevent Undesirable Misclassification. IEICE Trans. Inf. Syst. Kazuki Egashira, Atsuyuki Miyai, Qing Yu, Go Irie, Kiyoharu Aizawa
2024	J	`jnl`	Unsolvable Problem Detection: Evaluating Trustworthiness of Vision Language Models. CoRR Atsuyuki Miyai, Jingkang Yang, Jingyang Zhang, Yifei Ming, Qing Yu, Go Irie, Yixuan Li, Hai Li, Ziwei Liu, Kiyoharu Aizawa
2023	J	`jnl`	Can Pre-trained Networks Detect Familiar Out-of-Distribution Data? CoRR Atsuyuki Miyai, Qing Yu, Go Irie, Kiyoharu Aizawa
2023	A*	`conf`	LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning. NeurIPS Atsuyuki Miyai, Qing Yu, Go Irie, Kiyoharu Aizawa
2023	J	`jnl`	LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning. CoRR Atsuyuki Miyai, Qing Yu, Go Irie, Kiyoharu Aizawa
2023	A	`conf`	Rethinking Rotation in Self-Supervised Contrastive Learning: Adaptive Positive or Negative Data Augmentation. WACV Atsuyuki Miyai, Qing Yu, Daiki Ikami, Go Irie, Kiyoharu Aizawa
2023	J	`jnl`	Zero-Shot In-Distribution Detection in Multi-Object Settings Using Vision-Language Foundation Models. CoRR Atsuyuki Miyai, Qing Yu, Go Irie, Kiyoharu Aizawa
2022	J	`jnl`	Rethinking Rotation in Self-Supervised Contrastive Learning: Adaptive Positive or Negative Data Augmentation. CoRR Atsuyuki Miyai, Qing Yu, Daiki Ikami, Go Irie, Kiyoharu Aizawa