LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning. - Atsuyuki Miyai; Qing Yu; Go Irie; Kiyoharu Aizawa (NeurIPS, 2023)

Rethinking Rotation in Self-Supervised Contrastive Learning: Adaptive Positive or Negative Data Augmentation. - Atsuyuki Miyai; Qing Yu; Daiki Ikami; Go Irie; Kiyoharu Aizawa (WACV, 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)

Can Pre-trained Networks Detect Familiar Out-of-Distribution Data? - Atsuyuki Miyai; Qing Yu; Go Irie; Kiyoharu Aizawa (CoRR, 2023)

Unsolvable Problem Detection: Evaluating Trustworthiness of Vision Language Models. - Atsuyuki Miyai; Jingkang Yang; Jingyang Zhang; Yifei Ming; Qing Yu; Go Irie; Yixuan Li 001; Hai Li 001; Ziwei Liu 002; Kiyoharu Aizawa (CoRR, 2024)

Negative Learning to Prevent Undesirable Misclassification. - Kazuki Egashira; Atsuyuki Miyai; Qing Yu; Go Irie; Kiyoharu Aizawa (IEICE Trans. Inf. Syst., 2024)

Unsolvable Problem Detection: Robust Understanding Evaluation for Large Multimodal Models. - Atsuyuki Miyai; Jingkang Yang; Jingyang Zhang; Yifei Ming; Qing Yu; Go Irie; Yixuan Li 001; Hai Helen Li; Ziwei Liu 002; Kiyoharu Aizawa (ACL (1), 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 (NAACL (Long Papers), 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 001; Hai Helen Li; Ziwei Liu 002; Toshihiko Yamasaki; et al. (Trans. Mach. Learn. Res., 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, 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, 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, 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., 2025)

PULSE: Practical Evaluation Scenarios for Large Multimodal Model Unlearning. - Tatsuki Kawakami; Kazuki Egashira; Atsuyuki Miyai; Go Irie; Kiyoharu Aizawa (CoRR, 2025)