2 papers
cs.CL2026
Aligning Large Language Model Behavior with Human Citation Preferences
Kenichiro Ando, Tatsuya Harada
Most services built on powerful large-scale language models (LLMs) add citations to their output to enhance credibility. Recent research has paid increasing attention to the questi…
cs.CV2025
DEJIMA: A Novel Large-scale Japanese Dataset for Image Captioning and Visual Question Answering
Toshiki Katsube, Taiga Fukuhara, Kenichiro Ando +3
This work addresses the scarcity of high-quality, large-scale resources for Japanese Vision-and-Language (V&L) modeling. We present a scalable and reproducible pipeline that integr…