| 2026 | EACL | 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 |
| 2025 | ACL | 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 |
| 2025 | ICIP | 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 |
| 2025 | NAACL | 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 |
| 2023 | WACV | Rethinking Rotation in Self-Supervised Contrastive Learning: Adaptive Positive or Negative Data Augmentation. | Atsuyuki Miyai, Qing Yu, Daiki Ikami, Go Irie, Kiyoharu Aizawa |