3 papers
cs.SD2026
Adaptive Discovery of Interpretable Audio Attributes with Multimodal LLMs for Low-Resource Classification
Kosuke Yoshimura, Hisashi Kashima
In predictive modeling for low-resource audio classification, extracting high-accuracy and interpretable attributes is critical. Particularly in high-reliability applications, inte…
cs.CL2025
Hierarchical Text Classification Using Black Box Large Language Models
Kosuke Yoshimura, Hisashi Kashima
Hierarchical Text Classification (HTC) aims to assign texts to structured label hierarchies; however, it faces challenges due to data scarcity and model complexity. This study expl…
cs.LG2023
Label Selection Approach to Learning from Crowds
Kosuke Yoshimura, Hisashi Kashima
Supervised learning, especially supervised deep learning, requires large amounts of labeled data. One approach to collect large amounts of labeled data is by using a crowdsourcing…