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 (CoRR, 2024)

FoodMLLM-JP: Leveraging Multimodal Large Language Models for Japanese Recipe Generation. - Yuki Imajuku; Yoko Yamakata; Kiyoharu Aizawa (MMM (1), 2025)