3 papers
cs.MM2025
A Highly Clean Recipe Dataset with Ingredient States Annotation for State Probing Task
Mashiro Toyooka, Kiyoharu Aizawa, Yoko Yamakata
Large Language Models (LLMs) are trained on a vast amount of procedural texts, but they do not directly observe real-world phenomena. In the context of cooking recipes, this poses…
cs.IR2025
World Food Atlas Project
Ali Rostami, Z Xie, A Ishino +3
A coronavirus pandemic is forcing people to be "at home" all over the world. In a life of hardly ever going out, we would have realized how the food we eat affects our bodies. What…
cs.CV2025
FoodMLLM-JP: Leveraging Multimodal Large Language Models for Japanese Recipe Generation
Yuki Imajuku, Yoko Yamakata, Kiyoharu Aizawa
Research on food image understanding using recipe data has been a long-standing focus due to the diversity and complexity of the data. Moreover, food is inextricably linked to peop…